This course was designed to prepare Google Workspace Administrators to troubleshoot common Google Workspace issues. Learners will practice diagnosing and resolving problems in Gmail, Calendar, and Drive, and navigating the Admin console. They will also experience analyzing audit logs to troubleshoot security issues, and gathering information and using available resources to troubleshoot and report technical issues.
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This course empowers learners to secure their Google Workspace environment. Learners will implement strong password policies and two-step verification to govern user access. They will then utilize the security investigation tool to proactively identify and respond to security risks. Next, they will manage third-party app access and mobile devices to ensure security. Finally, learners will enforce email security and compliance measures to protect organizational data.
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This course equips learners with skills to govern data within their Google Workspace environment. Learners will explore data loss prevention rules in Gmail and Drive to prevent data leakage. They will then learn how to use Google Vault for data retention, preservation, and retrieval purposes. Next, they will learn how to configure data regions and export settings to align with regulations. Finally, learners will discover how to classify data using labels for enhanced organization and security.
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This course was designed to give learners a comprehensive understanding of Google Workspace core services. Learners will explore enabling, disabling, and configuring settings for these services, including Gmail, Calendar, Drive, Meet, Chat, and Docs. Next, they'll learn how to deploy and manage Gemini to empower their users. Finally, learners will examine use cases for AppSheet and Apps Script to automate tasks and extend the functionality of Google Workspace applications.
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This course was designed to provide an understanding of user and resource management in Google Workspace. Learners will explore the configuration of organizational units to align with their organization's needs. Additionally, learners will discover how to manage various types of Google Groups. They will also develop expertise in managing domain settings within Google Workspace. Finally, learners will master the optimization and structuring of resources within their Google Workspace environment.
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Generate engaging media with Google's foundation models for media. Create new images with Imagen, or edit your existing photos by adding details or outpainting to create a wider view. Replace backgrounds to put your products in new scenes. And learn the basics of generating videos with Veo!
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Model tuning is an effective way to customize large models to your tasks. It's a key step to improve the model's quality and efficiency. Model tuning provides benefits such as higher quality results for your specific tasks and increased model robustness. You learn some of the tuning options available in Vertex AI and when to use them.
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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.
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Complete the Extend Gemini with controlled generation and Tool use skill badge to demonstrate your proficiency in connecting models to external tools and APIs. This allows models to augment their knowledge, extend their capabilities and interact with external systems to take actions such as sending an email.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!"
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Connect Conversational Agents to external systems and APIs to expand what agents can do, designing an end-to-end system that is resilient, fault-tolerant and secure.
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Complete the Build basic Conversational Agents with Playbooks and Flows skill badge to demonstrate your proficiency in building virtual agents using traditional NLU and generative-based features.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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In this course, you'll learn to develop generative agents that answer questions using websites, documents, or structured data. You will explore Vertex AI Applications and understand the advantages of data store agents, including their scalability and security.
You'll learn about different data store types and also discover how to connect data stores to agents and add personalization for enhanced responses.
Finally, you'll gain insights into common search configurations and troubleshooting techniques.
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Discover flows in Conversational Agents and learn how to build deterministic chat and voice experiences with language models. Explore key concepts like drivers, intents, and entities, and how to use them to create conversational agents.
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Explore the Generative AI features for Conversational Agents and how to incorporate them into stateful Flows.
Discover the possibilities with Generators, Generative Fallback, and Data Stores, as well as best practices and security settings for using these features.
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Explore Playbooks and their implementation of the ReAct pattern for building Conversational Agents. You will learn how to construct a Playbook, set up goals and instructions to build a chatbot in natural language, and learn to test and deploy your solution.
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An LLM-based application can process language in a way that resembles thought. But if you want to extend its capabilities to take actions by running other functions you have coded, you will need to use function calling. This can also be referred to as tool use. Additionally, you can give a model the ability to search Google or search a data store of documents to ground its responses. In other words, to base its answers on that information. In this course, you’ll explore these concepts.
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Do you want to keep your users engaged by suggesting content they'll love?
This course equips you with the skills to build a cutting-edge recommendations app using your own data with no prior machine learning knowledge. You learn to leverage AI Applications to build recommendation applications so that audiences can discover more personalized content, like what to watch or read next, with Google-quality results customized using optimization objectives.
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Agen AI Generatif: Mentransformasi Organisasi Anda adalah kursus kelima dan terakhir dari jalur pembelajaran Generative AI Leader. Kursus ini membahas cara organisasi menggunakan agen AI generatif kustom untuk membantu mengatasi tantangan bisnis tertentu. Anda akan mendapatkan praktik langsung dalam membangun agen AI generatif dasar, sambil mempelajari komponen agen ini, seperti model, loop penalaran, dan alat.
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Aplikasi AI Generatif: Mentransformasi Pekerjaan Anda adalah kursus keempat dari jalur pembelajaran Generative AI Leader. Kursus ini memperkenalkan aplikasi AI generatif Google, seperti Gemini untuk Workspace dan NotebookLM. Kursus ini memandu Anda memahami konsep seperti grounding, retrieval augmented generation, menyusun perintah yang efektif, dan membangun alur kerja otomatis.
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AI Generatif: Memahami Lanskap adalah kursus ketiga dari alur pembelajaran Generative AI Leader. AI generatif mengubah cara kita bekerja dan berinteraksi dengan dunia di sekitar kita. Namun, sebagai seorang pemimpin, bagaimana Anda dapat memanfaatkan kekuatan AI untuk mendorong hasil bisnis yang nyata? Dalam kursus ini, Anda akan mempelajari berbagai lapisan dalam membangun solusi AI generatif, penawaran Google Cloud, dan faktor yang perlu dipertimbangkan saat memilih solusi.
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AI Generatif: Memahami Konsep Dasar adalah kursus kedua dari alur pembelajaran Generative AI Leader. Dalam kursus ini, Anda akan mempelajari konsep dasar AI generatif. Anda akan mempelajari perbedaan antara AI, ML, dan AI generatif serta mempelajari bagaimana berbagai jenis data memungkinkan AI generatif mengatasi tantangan bisnis. Anda juga akan mendapatkan insight tentang strategi Google Cloud untuk mengatasi keterbatasan model dasar dan tantangan utama dalam pengembangan dan deployment AI yang bertanggung jawab dan aman.
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Complete the Configure AI Applications to optimize search results skill badge to demonstrate your proficiency in configuring search results from AI Applications. You will be tasked with implementing search serving controls to boost and bury results, filter entries from search results and display metadata in your search interface.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Create media search and media recommendations applications with AI Applications skill badge to demonstrate your ability to create, configure, and access media search and recommendations applications using AI Applications.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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If you've worked with data, you know that some data is more reliable than other data.
In this course, you'll learn a variety of techniques to present the most reliable or useful results to your users. Create serving controls to boost or bury search results. Rank search results to ensure that each query is answered by the most relevant data. If needed, tune your search engine. Learn to measure search results to ensure your search applications deliver the best possible results to each user.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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Initial deployment of Vertex AI Search and Gemini Enterprise apps takes only a few clicks, but getting the configurations right can elevate a deployment from a basic off-the-shelf app to an excellent custom search or recommendations experience.
In this course, you'll learn more about the many ways you can customize and improve search, recommendations, and Gemini Enterprise apps.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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Complete the Create and maintain Vertex AI Search data stores skill badge to demonstrate your proficiency in building various types of data stores used in Vertex AI Search applications.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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This course introduces AI Applications. You will learn about the types of apps that you can create using AI Applications, the high-level steps that its data stores automate for you, and what advanced features can be enabled for Search apps.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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AI Generatif: Lebih dari Sekadar Chatbot adalah kursus pertama dari alur pembelajaran Generative AI Leader. Kursus ini tidak memiliki prasyarat. Kursus ini bertujuan untuk melampaui pemahaman dasar tentang chatbot guna mengeksplorasi potensi sebenarnya dari AI generatif untuk organisasi Anda. Anda akan mempelajari konsep seperti model dasar dan rekayasa perintah, yang penting untuk memanfaatkan kekuatan AI generatif. Kursus ini juga memandu Anda melalui pertimbangan penting yang harus Anda buat saat mengembangkan strategi AI generatif yang sukses untuk organisasi Anda.
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Complete the Extend Gemini Enterprise Assistant Capabilities skill badge to demonstrate your ability to extend Gemini Enterprise assistant's capabilities with actions, grounding with Google Search, and a conversational agent.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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AI Applications provides built-in analytics for your Vertex AI Search and Gemini Enterprise apps. Learn what metrics are tracked and how to view them in this course.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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Data stores represent a simple way to make content available to many types of generative AI applications, including search applications, recommendations engines, Gemini Enterprise apps, Agent Development Kit agents, and apps built with Google Gen AI or LangChain SDKs. Connect data from many sources include Cloud Storage, Google Drive, chat apps, mail apps, ticketing systems, third-party file storage providers, Salesforce, and many more.
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In this skill badge, you will demonstrate your ability to deploy Google Agentspace and set up data stores and actions. To learn these skills, we encourage you to take the course Accelerate Knowledge Exchange with Agentspace.
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Padukan keahlian Google di bidang penelusuran dan AI dengan Agentspace, alat perusahaan yang dirancang untuk membantu karyawan menemukan informasi spesifik dari penyimpanan dokumen, email, chat, sistem tiket, dan sumber data lain, semuanya dari satu kotak penelusuran. Asisten Agentspace juga dapat membantu Anda bertukar pikiran, melakukan riset, membuat kerangka dokumen, serta mengambil tindakan seperti mengundang rekan kerja ke acara kalender untuk mempercepat pekerjaan dan kolaborasi berbasis pengetahuan dalam berbagai bentuk.
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This is an introductory course to all solutions in the Conversational AI portfolio and the Gen AI features that are available to transform them. The course also explores the business case around Conversational AI, and the use cases and user personas addressed by the solution. Please note Dialogflow CX was recently renamed to Conversational Agents and this course is in the process of being updated to reflect the new product name for Dialogflow CX.
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Dalam kursus ini, Anda akan belajar tentang data engineering on Google Cloud, peran dan tanggung jawab data engineer, dan bagaimana hal tersebut terhubung dengan penawaran yang disediakan oleh Google Cloud. Anda juga akan mempelajari cara untuk mengatasi tantangan terkait data engineering.
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This Data Analytics course consists of a series of advanced-level labs designed to validate your proficiency in using Google Cloud services. Each lab presents a set of the required tasks that you must complete with minimal assistance.
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Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.
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Selesaikan badge keahlian pengantar Menyiapkan Data untuk Dasbor dan Laporan Looker untuk menunjukkan keterampilan dalam hal berikut: memfilter, mengurutkan, dan melakukan pivot pada data; menggabungkan hasil dari sejumlah Eksplorasi Looker; serta menggunakan fungsi dan operator untuk membangun dasbor dan laporan Looker untuk analisis dan visualisasi data.
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Aplikasi AI generatif dapat mewujudkan pengalaman pengguna baru yang hampir tidak dimungkinkan sebelum ditemukannya model bahasa besar (LLM). Sebagai developer aplikasi, bagaimana cara menggunakan AI generatif untuk membangun aplikasi yang menarik dan canggih di Google Cloud?
Dalam kursus ini, Anda akan mempelajari aplikasi AI generatif dan cara Anda dapat menggunakan desain perintah serta retrieval-augmented generation (RAG) untuk membangun aplikasi yang canggih menggunakan LLM. Anda akan mempelajari arsitektur siap produksi yang dapat digunakan untuk aplikasi AI generatif dan Anda akan membangun aplikasi chat LLM berbasis RAG.
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This course is for Partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities, learn to identify high-impact use cases, and develop the skills to demonstrate and integrate these technologies seamlessly into client solutions and operations.
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This course is for Partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities and learn to identify high-impact use cases.
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This course is for Google Cloud’s top partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities and learn to identify high-impact use cases. Those who complete the training and assessment will receive the Google Cloud Generative AI Trailblazer badge through Skills Boost.
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Dalam kursus ini, Anda akan mempelajari bagaimana Gemini, kolaborator yang didukung AI generatif dari Google Cloud, membantu engineer mengelola infrastruktur. Anda akan mempelajari cara memerintah Gemini untuk menemukan dan memahami log aplikasi, membuat cluster GKE, dan menyelidiki cara membuat lingkungan build. Dengan menggunakan lab interaktif, Anda akan melihat bagaimana Gemini meningkatkan alur kerja DevOps.
Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.
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Dalam kursus ini, Anda akan mempelajari cara Gemini, kolaborator yang didukung AI generatif dari Google Cloud, dalam membantu engineer jaringan membuat, mengupdate, dan memelihara jaringan VPC. Anda akan mempelajari cara memanfaatkan Gemini untuk memberikan panduan spesifik untuk tugas-tugas jaringan Anda, lebih dari yang ditawarkan mesin telusur. Dengan menggunakan lab interaktif, Anda akan melihat cara Gemini dalam mempermudah urusan Anda dengan jaringan VPC Google Cloud.
Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.
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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
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Cloud Storage, Cloud Functions, dan Cloud Pub/Sub adalah layanan Google Cloud Platform yang dapat digunakan untuk menyimpan, memproses, dan mengelola data. Ketiga layanan dapat digunakan bersama untuk membuat berbagai aplikasi berbasis data. Dalam badge keahlian ini, Anda akan menggunakan Cloud Storage untuk menyimpan gambar, Cloud Functions untuk memproses gambar, dan Cloud Pub/Sub untuk mengirim gambar ke aplikasi lain.
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Complete the Analyze BigQuery Data in Connected Sheets skill badge to demonstrate that you can use Connected Sheets to access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet.
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Selesaikan pengantar badge keahlian Mengimplementasikan Load Balancing di Compute Engine untuk menunjukkan keterampilan berikut ini: menulis perintah gcloud dan menggunakan Cloud Shell, membuat dan men-deploy virtual machine di Compute Engine, serta mengonfigurasi jaringan dan load balancer HTTP. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan yang interaktif. Selesaikan badge keahlian ini, dan penilaian akhir Challenge Lab, untuk menerima badge keahlian yang dapat Anda bagikan dengan jaringan Anda.
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Dalam kursus ini, Anda akan mempelajari bagaimana Gemini, kolaborator yang didukung AI generatif dari Google Cloud, membantu Anda menggunakan produk dan layanan Google untuk mengembangkan, menguji, men-deploy, dan mengelola aplikasi. Dengan bantuan Gemini, Anda belajar cara mengembangkan dan membangun aplikasi web, memperbaiki error dalam aplikasi, mengembangkan pengujian, dan mengkueri data. Dengan menggunakan lab interaktif, Anda akan melihat bagaimana Gemini meningkatkan siklus proses pengembangan software (SDLC).
Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.
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In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.
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Dalam kursus ini, Anda akan mempelajari bagaimana Gemini, kolaborator yang didukung AI generatif dari Google Cloud, membantu Anda mengamankan lingkungan dan resource cloud. Anda akan mempelajari cara men-deploy contoh workload ke dalam lingkungan di Google Cloud, mengidentifikasi kesalahan konfigurasi keamanan dengan Gemini, dan memperbaiki kesalahan konfigurasi keamanan dengan Gemini. Dengan menggunakan lab interaktif, Anda akan melihat bagaimana Gemini meningkatkan postur keamanan cloud.
Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.
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Dalam kursus ini, Anda akan mempelajari bagaimana Gemini, kolaborator yang didukung AI generatif dari Google Cloud, membantu administrator menyediakan infrastruktur. Anda akan mempelajari cara memerintah Gemini untuk menjelaskan infrastruktur, men-deploy cluster GKE, dan memperbarui infrastruktur yang ada. Dengan menggunakan lab interaktif, Anda akan melihat bagaimana Gemini meningkatkan alur kerja deployment GKE.
Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.
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Dalam kursus ini, Anda akan mempelajari cara Gemini, kolaborator berteknologi AI generatif dari Google Cloud, membantu developer membangun aplikasi. Anda akan mempelajari cara memanfaatkan Gemini untuk menjelaskan kode, merekomendasikan layanan Google Cloud, dan membuat kode untuk aplikasi Anda. Dengan lab interaktif, Anda akan merasakan peningkatan alur kerja pengembangan aplikasi menggunakan Gemini.
Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.
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Selesaikan badge keahlian tingkat menengah Mempelajari AI Generatif dengan Gemini API di Vertex AI untuk menunjukkan keterampilan dalam hal berikut: pembuatan teks, analisis gambar dan video untuk peningkatan kualitas pembuatan konten, serta penerapan teknik panggilan fungsi dalam Gemini API. Temukan cara memanfaatkan teknik Gemini yang canggih, menjelajahi pembuatan konten multimodal, dan memperluas kemampuan project yang didukung AI.
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Demonstrate your ability to implement updated prompt engineering techniques and utilize several of Gemini's key capacilities including multimodal understanding and function calling. Then integrate generative AI into a RAG application deployed to Cloud Run. This course contains labs that are to be used as a test environment. They are deployed to test your understanding as a learner with a limited scope. These technologies can be used with fewer limitations in a real world environment.
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Selesaikan badge keahlian pengantar Menyiapkan Data untuk ML API di Google Cloud untuk menunjukkan keterampilan Anda dalam hal berikut: menghapus data dengan Dataprep by Trifacta, menjalankan pipeline data di Dataflow, membuat cluster dan menjalankan tugas Apache Spark di Dataproc, dan memanggil beberapa ML API, termasuk Cloud Natural Language API, Google Cloud Speech-to-Text API, dan Video Intelligence API.
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Selesaikan badge keahlian pengantar Panduan Awal Menggunakan Dataplex untuk menunjukkan keterampilan dalam hal berikut: membuat aset Dataplex, membuat jenis aspek, dan menerapkan aspek ke entri di Dataplex.
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This training aims to up-skill Google Cloud partners to deliver customer engagements through Delivery Navigator for available technical practice offerings. Learners will be able to navigate around the Delivery Navigator platform, select the desired method(s), and export the project WBS to a desired work management tool and Shared Google Drive. Sample artefacts are available through the Delivery Navigator methods and will be provided for reference.
Contents of this course will be updated as new features are released for the Delivery Navigator platform.
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Selesaikan badge keahlian tingkat menengah Membangun Data Warehouse dengan BigQuery untuk menunjukkan keterampilan Anda dalam hal berikut: menggabungkan data untuk membuat tabel baru, memecahkan masalah penggabungan, menambahkan data dengan union, membuat tabel berpartisi tanggal, serta menggunakan JSON, array, dan struct di BigQuery. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan yang interaktif. Selesaikan kursus badge keahlian ini dan challenge lab penilaian akhir, untuk menerima badge keahlian yang dapat Anda bagikan dengan jaringan Anda.
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Menyelesaikan badge keahlian tingkat menengah Menginspeksi Dokumen Multimedia dengan Multimodalitas Gemini dan RAG Multimodal untuk menunjukkan keterampilan dalam hal berikut ini: menggunakan prompt multimodal untuk mengekstrak informasi dari data teks dan visual dengan menghasilkan deskripsi video, dan mengambil informasi tambahan di luar video menggunakan multimodalitas dengan Gemini; membangun metadata dokumen yang berisi teks dan gambar dengan mendapatkan semua potongan teks yang relevan, dan mencetak kutipan dengan menggunakan Multimodal Retrieval Augmented Generation (RAG) dengan Gemini. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktis yang interaktif. Selesaikan kursus badge keahlian ini dan challenge lab penilaian akhir untuk menerima badge keahlian yang dapat Anda bagikan ke jarin…
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This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.
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This course explores the different products and capabilities of Customer Engagement Suite (CES) and Conversational agents. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.
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This course explores Google Cloud technologies to create and generate embeddings. Embeddings are numerical representations of text, images, video and audio, and play a pivotal role in many tasks that involve the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions. Specifically, you’ll use embeddings for tasks like classification, outlier detection, clustering and semantic search.
You’ll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) systems and question-answering solutions, on your own proprietary data using Google Cloud’s Vertex AI.
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In this course, you'll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You'll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) solutions, such as for question-answering systems, using Google Cloud's Vertex AI and Google Cloud databases.
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Learn how Gemini can revolutionize your ability to develop applications! This course helps developers go beyond the basics and learn how to integrate Gemini into their workflows.
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This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Oracle and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Oracle, you also learn about similarities and differences between Oracle and BigQuery to help you get started with data warehouses in BigQuery. After this course, you can continue your BigQuery journey by completing the skill badge quest titled Build and Optimize Data Warehouses with BigQuery.
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This course explores the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataproc.
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This course identifies best practices for migrating data warehouses to BigQuery and the key skills required to perform successful migration.
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This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Snowflake and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Snowflake, you also learn about similarities and differences between Snowflake and BigQuery to help you get started with data warehouses in BigQuery. After this course, you can continue your BigQuery journey by completing the skill badge quest titled Build and Optimize Data Warehouses with BigQuery.
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Learn to use LangChain to call Google Cloud LLMs and Generative AI Services and Datastores to simplify complex applications' code.
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Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.
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Menjelajahi teknologi, alat, dan aplikasi penelusuran yang didukung AI dalam kursus ini. Mempelajari penelusuran semantik dengan memanfaatkan embedding vektor, penelusuran campuran yang menggabungkan pendekatan semantik dan kata kunci, serta Retrieval-Augmented Generation (RAG) yang meminimalkan halusinasi AI sebagai agen AI yang di-grounding. Mendapatkan pengalaman praktis dengan Vertex AI Vector Search untuk membangun mesin telusur yang cerdas.
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Get hands-on with the Gemini Pro and Gemini Pro Vision models through our new labs. This course gives you a unique chance to explore these powerful AI tools while our training content is still in development. Learn to interact with the models using the Vertex AI Gemini API and cURL commands, and help us create the best possible learning experience around this technology.
Important Disclaimer: Please note that these labs are under active development. Functionality may occasionally change or break unexpectedly, and content might be removed or altered without notice. By proceeding with this course, you acknowledge this potential disruption.
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Welcome to Design in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on schema design.
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This course is an introduction to building forecasting solutions with Google Cloud. You start with sequence models and time series foundations. You then walk through an end-to-end workflow: from data preparation to model development and deployment with Vertex AI. Finally, you learn the lessons and tips from a retail use case and apply the knowledge by building your own forecasting models.
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This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.
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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.
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Unlock the power of Google Cloud's cutting-edge Vertex AI Gemini API to craft innovative multimodal applications. This hands-on course delves into the integration of the Vertex AI SDK for Python, guiding you through the generation of sophisticated responses powered by the Gemini Pro and Gemini Pro Vision models. Get ready to build, deploy, and harness the transformative capabilities of multimodal AI within your own projects.
Important Disclaimer: Please note that these labs are under active development. Functionality may occasionally change or break unexpectedly, and content might be removed or altered without notice. By proceeding with this course, you acknowledge this potential disruption.
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Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
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In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
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Delve into the power of multimodal AI with this project-based course using Gemini. Master essential techniques and build advanced applications. You will:
- Experiment with multimodal use cases to expand application possibilities
- Implement recommendation systems that combine suggestions with clear reasoning
- Design a powerful document search engine using multimodal RAG methods
Important Disclaimer: Please note that these labs are under active development. Functionality may occasionally change or break unexpectedly, and content might be removed or altered without notice. By proceeding with this course, you acknowledge this potential disruption.
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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production.
Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.
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Explore Generative AI in API management and Application Integration, including Duet AI in Apigee, and extensions for Vertex AI. Discover the new opportunities with generative AI, including conversational APIs, Auto-Operators, and API growth. Use Duet AI to create an API specification in-context, and use Duet AI to create an integration. Use Duet AI in Apigee API Hub, and create an LLM extension.
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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.
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In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
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In this course, you'll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You'll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) solutions, such as for question-answering systems, using Google Cloud's Vertex AI and Google Cloud databases.
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The Google Cloud Rapid Migration & Modernization Program (RaMP) is a holistic, end-to-end migration/modernization program that helps customers & partners leverage expertise and best practices, lower risk, control costs, and simplify a customer's path to cloud success. This course will give an overview of the program and some of the tools and best practices available to support customer migrations & modernizations.
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Learn about the new skills you'll need to be successful when using generative AI. Google Cloud has used generative AI to help keep you engaged and streamline your learning journey.
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This Quest is most suitable for those working in a technology or finance role who are responsible for managing Google Cloud costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your Google Cloud costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Looker Studio. References made to links in the videos can be accessed in this Additional Resources document.
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This is the second Quest in a two-part series on Google Cloud billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your Google Cloud costs or to influence your technology teams to apply the cost optimization best practices.
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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task.
Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
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(This course was previously named Multimodal Prompt Engineering with Gemini and PaLM) This course teaches how to use Vertex AI Studio, a Google Cloud console tool for rapidly prototyping and testing generative AI models. You learn to test sample prompts, design your own prompts, and customize foundation models to handle tasks that meet your application's needs. Whether you are looking for text, chat, code, image or speech generative experiences Vertex AI Studio offers you an interface to work with and APIs to integrate your production application.
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(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used)
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.
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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
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In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata. You will learn about pipeline components and pipeline orchestration with TFX. You will also learn how you can automate your pipeline through continuous integration and continuous deployment, and how to manage ML metadata. Then we will change focus to discuss how we can automate and reuse ML pipelines across multiple ML frameworks such as tensorflow, pytorch, scikit learn, and xgboost. You will also learn how to use another tool on Google Cloud, Cloud Composer, to orchestrate your continuous training pipelines. And finally, we will go over how to use MLflow for managing the complete machine learning life cycle.
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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
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In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.
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This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
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This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models.
The course shows how to improve a model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting the data.
The course also looks at practical issues that arise, for example, when one doesn't have enough data and how to incorporate the latest research findings into different models.
Learners will get hands-on practice building and optimizing their own image classification models on a variety of public datasets in the labs they will work on.
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This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators.
This is the second course of the Advanced Machine Learning on Google Cloud series. After completing this course, enroll in the Image Understanding with TensorFlow on Google Cloud course.
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This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing.
The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.
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This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
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This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
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The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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Kursus ini memperkenalkan penawaran AI dan machine learning (ML) di Google Cloud yang membangun project AI prediktif dan generatif. Kursus ini akan membahas teknologi, produk, dan alat yang tersedia di seluruh siklus proses data ke AI, yang mencakup fondasi, pengembangan, dan solusi AI. Kursus ini bertujuan membantu data scientist, developer AI, dan engineer ML meningkatkan keterampilan dan pengetahuan mereka melalui pengalaman belajar yang menarik dan latihan praktik langsung.
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Selesaikan badge keahlian pengantar Menyiapkan Data untuk ML API di Google Cloud untuk menunjukkan keterampilan Anda dalam hal berikut: menghapus data dengan Dataprep by Trifacta, menjalankan pipeline data di Dataflow, membuat cluster dan menjalankan tugas Apache Spark di Dataproc, dan memanggil beberapa ML API, termasuk Cloud Natural Language API, Google Cloud Speech-to-Text API, dan Video Intelligence API.
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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
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This on-demand course provides partners the skills required to design, deploy, and monitor Vertail AI Search for Commerce solutions including retail search and recommendation AI for enterprise customers.
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Get hands-on practice with Google Cloud! You will compete with your peers to see who can finish this game with the most points. Earn points by completing the labs accurately and receive bonus points for speed! Be sure to click “End” where you’re done with each lab to be rewarded your points.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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This content is deprecated. Please see the latest version of the course, here.
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Planning for a Google Workspace Deployment is the final course in the Google Workspace Administration series.
In this course, you will be introduced to Google's deployment methodology and best practices. You will follow Katelyn and Marcus as they plan for a Google Workspace deployment at Cymbal. They'll focus on the core technical project areas of provisioning, mail flow, data migration, and coexistence, and will consider the best deployment strategy for each area.
You will also be introduced to the importance of Change Management in a Google Workspace deployment, ensuring that users make a smooth transition to Google Workspace and gain the benefits of work transformation through communications, support, and training.
This course covers theoretical topics, and does not have any hands on exercises. If you haven’t already done so, please cancel your Google Workspace trial now to avoid any unwanted charges.
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Seiring semakin meningkatnya penggunaan Kecerdasan Buatan dan Machine Learning di kalangan perusahaan, proses membangunnya secara bertanggung jawab juga menjadi semakin penting. Membicarakan responsible AI mungkin lebih mudah bagi banyak orang daripada mempraktikkannya. Jika Anda tertarik untuk mempelajari cara mengoperasionalkan responsible AI dalam organisasi Anda, kursus ini cocok untuk Anda.
Dalam kursus ini, Anda akan mempelajari bagaimana Google Cloud mengoperasionalkan responsible AI, dengan praktik terbaik dan pelajaran yang dapat dipetik. Hal ini berguna sebagai framework bagi Anda untuk membangun pendekatan responsible AI.
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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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Kursus ini memberi Anda sinopsis tentang arsitektur encoder-decoder, yang merupakan arsitektur machine learning yang canggih dan umum untuk tugas urutan-ke-urutan seperti terjemahan mesin, ringkasan teks, dan tanya jawab. Anda akan belajar tentang komponen utama arsitektur encoder-decoder serta cara melatih dan menyalurkan model ini. Dalam panduan lab yang sesuai, Anda akan membuat kode pada penerapan simpel arsitektur encoder-decoder di TensorFlow untuk pembuatan puisi dari awal.
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Kursus ini menjelaskan cara membuat model keterangan gambar menggunakan deep learning. Anda akan belajar tentang berbagai komponen model keterangan gambar, seperti encoder dan decoder, serta cara melatih dan mengevaluasi model. Pada akhir kursus ini, Anda akan dapat membuat model keterangan gambar Anda sendiri dan menggunakannya untuk menghasilkan teks bagi gambar.
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Dapatkan badge keahlian dengan menyelesaikan kursus Introduction to Generative AI, Introduction to Large Language Models, dan Introduction to Responsible AI. Dengan berhasil menyelesaikan kuis akhir, Anda membuktikan pemahaman Anda tentang konsep dasar AI generatif.
Badge keahlian adalah badge digital yang diberikan oleh Google Cloud sebagai pengakuan atas pengetahuan Anda tentang produk dan layanan Google Cloud. Pamerkan badge keahlian Anda dengan menampilkan profil Anda kepada publik dan menambahkannya ke profil media sosial Anda.
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Ini adalah kursus pengantar pembelajaran mikro yang dimaksudkan untuk menjelaskan responsible AI, alasan pentingnya responsible AI, dan cara Google mengimplementasikan responsible AI dalam produknya. Kursus ini juga memperkenalkan 7 prinsip AI Google.
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Kursus ini memperkenalkan Vertex AI Studio, sebuah alat untuk berinteraksi dengan model AI generatif, membuat prototipe ide bisnis, dan meluncurkannya ke dalam produksi. Melalui kasus penggunaan yang imersif, pelajaran menarik, dan lab interaktif, Anda akan menjelajahi siklus proses dari perintah ke produk dan mempelajari cara memanfaatkan Vertex AI Studio untuk aplikasi multimodal Gemini, desain perintah, rekayasa perintah, dan tuning model. Tujuan kursus ini adalah agar Anda dapat memanfaatkan potensi AI generatif dalam project Anda dengan Vertex AI Studio.
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Kursus ini memperkenalkan model difusi, yaitu kelompok model machine learning yang belakangan ini menunjukkan potensinya dalam ranah pembuatan gambar. Model difusi mengambil inspirasi dari fisika, khususnya termodinamika. Dalam beberapa tahun terakhir, model difusi menjadi populer baik di dunia industri maupun penelitian. Model difusi mendasari banyak alat dan model pembuatan gambar yang canggih di Google Cloud. Kursus ini memperkenalkan Anda pada teori yang melandasi model difusi dan cara melatih serta men-deploy-nya di Vertex AI.
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Kursus Penjelajah AI Generatif - Vertex AI adalah sekumpulan lab yang membahas cara menggunakan AI Generatif di Google Cloud. Melalui lab ini, Anda akan mempelajari cara menggunakan model dalam rangkaian Vertex AI PaLM API, termasuk text-bison, chat-bison, dan textembedding-gecko. Anda juga akan mempelajari desain perintah, praktik terbaik, serta cara menggunakannya untuk pencarian ide, klasifikasi teks, ekstraksi teks, peringkasan teks, dan banyak lagi. Anda juga akan mempelajari cara menyesuaikan model dasar dengan melatihnya melalui pelatihan kustom Vertex AI dan men-deploy-nya ke endpoint Vertex AI.
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Kursus ini memperkenalkan Anda pada arsitektur Transformer dan model Representasi Encoder Dua Arah dari Transformer (Bidirectional Encoder Representations from Transformers atau BERT). Anda akan belajar tentang komponen utama arsitektur Transformer, seperti mekanisme self-attention, dan cara penggunaannya untuk membangun model BERT. Anda juga akan belajar tentang berbagai tugas yang dapat memanfaatkan BERT, seperti klasifikasi teks, menjawab pertanyaan, dan inferensi natural language. Kursus ini diperkirakan memakan waktu sekitar 45 menit untuk menyelesaikannya.
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Dalam kursus ini Anda akan diperkenalkan dengan mekanisme atensi, yakni teknik efektif yang membuat jaringan neural berfokus pada bagian tertentu urutan input. Anda akan mempelajari cara kerja atensi, cara penggunaannya untuk meningkatkan performa berbagai tugas machine learning, termasuk terjemahan mesin, peringkasan teks, dan menjawab pertanyaan.
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Ini adalah kursus pengantar pembelajaran mikro yang membahas definisi model bahasa besar (LLM), kasus penggunaannya, dan cara menggunakan prompt tuning untuk meningkatkan performa LLM. Kursus ini juga membahas beberapa alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.
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Ini adalah kursus pengantar pembelajaran mikro yang bertujuan untuk mendefinisikan AI Generatif, cara penggunaannya, dan perbedaannya dari metode machine learning konvensional. Kursus ini juga mencakup Alat-alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.
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Earn a DRI badge by completing the Infra Foundations - Implementing Private Google Access for VPC Service Controls quest, where you demonstrate your capabilities implementing VPC networking custom networking mode, Private Google Access, Cloud DNS response policies, VPC routing and Service Controls.
When you complete this activity, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page.
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Earn a DRI badge by completing the Smart Analytics - Implementing a foundational data ingestion architecture quest, where you demonstrate your proficiency of Service Account credentials, IAM roles for accessing different data services: GCS, Dataflow, BigQuery and principles and application of service account impersonation.
When you complete this activity, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page.
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Earn a DRI badge by completing the Database Migration and Modernization - Cloud SQL for MySQL disaster recovery quest, where you demonstrate your profiency of implementing and validating the high availability and disaster recovery capabilities of Cloud SQL for MySQL using a cross-region read replica.
When you complete this activity, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page.
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Earn a DRI badge by completing the Database Migration and Modernization - AWS DynamoDB to Cloud Spanner quest, where you demonstrate your profiency of performing an analysis of a source AWS DynamoDB environment, create a Cloud Spanner environment in Google Cloud, map schemas between the two, export the data to Amazon S3 and perform an import into Cloud Spanner with Dataflow.
When you complete this activity, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page.
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Complete the introductory Create and Manage AlloyDB Instances skill badge to demonstrate skills in the following: performing core AlloyDB operations and tasks, migrating to AlloyDB from PostgreSQL, administering an AlloyDB database, and accelerating analytical queries using the AlloyDB Columnar Engine.
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No-code development platforms allow programmers and non-programmers alike to build beautiful, useful apps. Complete labs to learn new skills and earn the badge. No experience needed!
Pelajari lebih lanjut
No-code development platforms allow programmers and non-programmers alike to build beautiful, useful apps. Complete labs to learn new skills and earn the badge. No experience needed!
Pelajari lebih lanjut
Moving to the cloud can be scary. You don’t have to do it alone! Google Cloud partners are here to help. Join the challenge and get hands-on experience with how the partner ecosystem can help clear the creepy fog and light your way.
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When the edges are crisp, the pattern flows, the colors sparkle, and the symmetry is perfect… wait, are we talking about Rangoli or spreadsheets? See what beauty Google Sheets can bring to your monthly reports. Join the game to learn how to analyze data with functions and visualize data using charts. Earn the badge for an arcade point and get one step closer to your swag goal.
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Complete these 6 hands-on Google Cloud skills challenges by October 13th to earn a special digital badge, plus a no-cost e-copy of Priyanka Vergadia’s best selling Visualizing Google Cloud book!
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Complete the introductory Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication.
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This specialized course provides data practitioners with a practical introduction to developing end-to-end forecasting solutions on Google Cloud. Learners work through hands-on labs that cover time series data ingestion into managed datasets, building AutoML forecasting models in Vertex AI, and adding forecasting workflow automation with Vertex AI Pipelines.
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This on-demand course provides partners the skills required to design, deploy, and monitor Vertail AI Search for Commerce solutions including retail search and recommendation AI for enterprise customers.
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Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
Pelajari lebih lanjut
Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
Pelajari lebih lanjut
Earn a skill badge by completing the Automate Interactions with Contact Center AI quest, where you will learn about the features of Contact Center AI, including how to Build a virtual agent, Design conversation flows for your virtual agent; Add a phone gateway to your virtual agent; Use Dialogflow for troubleshooting; Review logs and debug your virtual agent. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Welcome to "CCAI Conversational Design Fundamentals", the first course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to design customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will be introduced to CCAI and its three pillars (Dialogflow, Agent Assist, and Insights), and the concepts behind conversational experiences and how the study of them influences the design of your virtual agent. After taking this course you will be prepared to take your virtual agent design to the next level of intelligent conversation.
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Moving to the cloud creates numerous opportunities to start working in
a new way and it empowers the workforce to better collaborate and innovate. But
it’s also a big change. Sometimes the success of the change hinges not on the change
itself, but on how it’s managed.
This course will help people managers to understand
some of the key challenges associated with cloud adoption, and provide them with
a verified in-the-field framework that will assist them in supporting their teams
on the change journey. By addressing the human factor of moving to the cloud, organizations
increase their chances of realizing business objectives and investing in their future
talent.
Pelajari lebih lanjut
Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
Pelajari lebih lanjut
Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
Pelajari lebih lanjut
Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
Pelajari lebih lanjut
Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
Pelajari lebih lanjut
Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
Pelajari lebih lanjut
Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
Pelajari lebih lanjut
Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
Pelajari lebih lanjut
Welcome to Hybrid Cloud Infrastructure Foundations with Anthos!
This is the first course of the Architecting Hybrid Cloud Infrastructure with Anthos path. Anthos enables you to build and manage modern applications, and gives you the freedom to choose where to run them. Anthos gives you one consistent experience in both your on-premises and cloud environments.
During this course, you will be presented with modules that will take you through skills that you will use as an architect or administrator running Anthos environments. The modules in this course include videos, hands-on labs, and links to helpful documentation.
Pelajari lebih lanjut
Flex your Google Clout! Each week unlocks a new cloud puzzle. How fast can you find the solution? Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
Pelajari lebih lanjut
Flex your Google Clout! Each day unlocks a new cloud puzzle. Complete all five and you’ll earn the inaugural Google Cloud badge! Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
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These labs help you deep-dive into database and data engineering concepts and skills. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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Dapatkan badge keahlian tingkat menengah dengan menyelesaikan kursus Membangun dan Men-Deploy Solusi Machine Learning di Vertex AI, tempat Anda akan belajar cara menggunakan platform Vertex AI Google Cloud, AutoML, dan layanan pelatihan kustom untuk melatih, mengevaluasi, menyesuaikan, menjelaskan, serta men-deploy model machine learning. Kursus badge keahlian ini diperuntukkan bagi Data Scientist dan Engineer Machine Learning profesional. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktis yang interaktif. Selesaikan Badge keahlian ini, dan challenge lab penilaian akhir, untuk menerima badge digital yang dapat Anda bagikan ke jaringan Anda.
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These labs help you get started with the skills you need to develop and train ML models. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.
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These labs help you get started with the skills you need to analyze sports-related data. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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Welcome to the Learn to Earn Cloud Data Challenge! These labs help you get started with data analysis skills. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
Pelajari lebih lanjut
Selesaikan badge keahlian tingkat menengah Membangun Data Warehouse dengan BigQuery untuk menunjukkan keterampilan Anda dalam hal berikut: menggabungkan data untuk membuat tabel baru, memecahkan masalah penggabungan, menambahkan data dengan union, membuat tabel berpartisi tanggal, serta menggunakan JSON, array, dan struct di BigQuery. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan yang interaktif. Selesaikan kursus badge keahlian ini dan challenge lab penilaian akhir, untuk menerima badge keahlian yang dapat Anda bagikan dengan jaringan Anda.
Pelajari lebih lanjut
Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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DORA (DevOps Research & Assessment) is a research program, an assessment tool, a report publisher, and more. Together, these products create a compelling customer story that defines the industry standard for successful DevOps and technology transformation, and provides personalized steps to accelerate the customer journey. DORA enables Googlers and Partners to bring DevOps research and practices to Google Cloud Customers. This course provides an introduction to DORA and a guide on how to successfully complete a DORA assessment for your customer. Engaging customers in DORA assessment provides invaluable insights into the customer’s organization, and helps you better support your customer. The DORA training was originally designed for and only made available to Google Teams, however we’ve recognized how beneficial it would be for our Partners and are now offering our Partners exclusive access to the DORA training and products, so they can benefit from DORA’s research and practices …
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Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.
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Dasar-Dasar Google Cloud: Infrastruktur Inti memperkenalkan konsep dan terminologi penting untuk bekerja dengan Google Cloud. Melalui video dan lab interaktif, kursus ini menyajikan dan membandingkan banyak layanan komputasi dan penyimpanan Google Cloud, bersama dengan resource penting dan alat pengelolaan kebijakan.
Pelajari lebih lanjut
Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.
Pelajari lebih lanjut
Complete the introductory Migrate MySQL Data to Cloud SQL Using Database Migration Service skill badge course to demonstrate skills in the following: migrating MySQL data to Cloud SQL using different job types and connectivity options available in Database Migration Service and migrating MySQL user data when running Database Migration Service jobs.
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This course is intended to give architects, engineers, and developers the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Through a combination of presentations, demos, and hands-on labs participants move databases to Google Cloud while taking advantage of various services.
This course covers how to move on-premises, enterprise databases like SQL Server to Google Cloud (Compute Engine and Cloud SQL) and Oracle to Google Cloud bare metal.
Pelajari lebih lanjut
Flex your Google Clout! Each day unlocks a new cloud puzzle. Complete all five and you’ll earn the inaugural Google Cloud badge! Share your score on your choice of social networks and join the conversation over in the Google Cloud Community.
Pelajari lebih lanjut
Dalam quest level pendahuluan ini, Anda akan mendapatkan praktik langsung dengan aneka fitur dan layanan dasar Google Cloud Platform. Dasar-Dasar GCP adalah Quest pertama yang direkomendasikan bagi peserta kursus Google Cloud—Anda dapat memulai dengan pengetahuan yang minim atau tanpa pengetahuan sama sekali tentang cloud, dan selesai dengan pengalaman praktis yang dapat diterapkan pada project GCP pertama Anda. Mulai dari menulis perintah Cloud Shell dan menerapkan mesin virtual pertama Anda, hingga menjalankan aplikasi di Kubernetes Engine atau dengan load balancing, Dasar-Dasar GCP merupakan pengenalan terbaik pada fitur-fitur dasar platform cloud. Setiap lab disertai video berdurasi 1 menit yang akan memandu Anda memahami berbagai konsep penting.
Google Workspace Troubleshooting
Earned Agu 12, 2025 EDT
Google Workspace Security
Earned Agu 12, 2025 EDT
Google Workspace Data Governance
Earned Agu 11, 2025 EDT
Google Workspace Core Services
Earned Agu 11, 2025 EDT
Google Workspace User and Resource Management
Earned Agu 11, 2025 EDT
Generate and Edit Media with Imagen, Gemini, and Veo
Earned Jun 16, 2025 EDT
Improve Performance by Fine-Tuning Foundation Models
Earned Jun 16, 2025 EDT
Conversational AI Voice and Chat Integrations
Earned Jun 14, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned Jun 14, 2025 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned Jun 3, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Jun 3, 2025 EDT
Virtual FAQ with data store agents
Earned Mei 26, 2025 EDT
Stateful Flows
Earned Mei 26, 2025 EDT
Incorporate Generative Features into Conversational Agent flows
Earned Mei 26, 2025 EDT
Generative Playbooks
Earned Mei 23, 2025 EDT
Empower Gen AI apps with tool use
Earned Mei 23, 2025 EDT
Recommendations with AI Applications
Earned Mei 21, 2025 EDT
Agen AI Generatif: Mentransformasi Organisasi Anda
Earned Mei 20, 2025 EDT
Aplikasi AI Generatif: Mentransformasi Pekerjaan Anda
Earned Mei 20, 2025 EDT
AI Generatif: Memahami Lanskap
Earned Mei 20, 2025 EDT
AI Generatif: Memahami Konsep Dasar
Earned Mei 20, 2025 EDT
Configure AI Applications to optimize search results
Earned Mei 20, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned Mei 20, 2025 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned Mei 20, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned Mei 20, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned Mei 20, 2025 EDT
Build search and recommendations applications with AI Applications
Earned Mei 20, 2025 EDT
Introduction to AI Applications
Earned Mei 20, 2025 EDT
AI Generatif: Lebih dari Sekadar Chatbot
Earned Mei 9, 2025 EDT
Extend Gemini Enterprise Assistant Capabilities
Earned Mei 9, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned Mei 9, 2025 EDT
Create Data Stores for Gen AI Applications
Earned Mei 9, 2025 EDT
Deploy Google Agentspace
Earned Apr 29, 2025 EDT
Mempercepat pertukaran pengetahuan dengan Agentspace
Earned Apr 29, 2025 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned Des 9, 2024 EST
Pengantar Data Engineering di Google Cloud
Earned Nov 2, 2024 EDT
Build Data Analytics Solutions on Google Cloud
Earned Nov 2, 2024 EDT
Build LookML Objects in Looker
Earned Nov 2, 2024 EDT
Menyiapkan Data untuk Dasbor dan Laporan Looker
Earned Nov 1, 2024 EDT
Membuat Aplikasi AI Generatif di Google Cloud
Earned Okt 17, 2024 EDT
Selling the Platform & Building Client Trust
Earned Agu 10, 2024 EDT
Unlocking the Power of Google Cloud Generative AI for Partners
Earned Agu 9, 2024 EDT
Google Cloud Generative AI Trailblazer
Earned Agu 9, 2024 EDT
Gemini untuk Engineer DevOps
Earned Agu 2, 2024 EDT
Gemini untuk Engineer Jaringan
Earned Agu 2, 2024 EDT
Trust and Security with Google Cloud
Earned Agu 2, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Command Line
Earned Jul 24, 2024 EDT
Menyimpan, Memproses, dan Mengelola Data di Google Cloud - Console
Earned Jul 24, 2024 EDT
Analyze BigQuery Data in Connected Sheets
Earned Jul 24, 2024 EDT
Mengimplementasikan Load Balancing di Compute Engine
Earned Jul 24, 2024 EDT
Gemini untuk SDLC menyeluruh
Earned Jul 21, 2024 EDT
Conversational AI on Vertex AI and Dialogflow CX
Earned Jul 21, 2024 EDT
Gemini untuk Engineer Keamanan
Earned Jul 21, 2024 EDT
Gemini untuk Arsitek Cloud
Earned Jul 21, 2024 EDT
Gemini untuk Developer Aplikasi
Earned Jul 21, 2024 EDT
Mempelajari AI Generatif dengan Gemini API di Vertex AI
Earned Jul 19, 2024 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned Jun 14, 2024 EDT
Menyiapkan Data untuk ML API di Google Cloud
Earned Jun 5, 2024 EDT
Panduan Awal Menggunakan Dataplex
Earned Apr 26, 2024 EDT
Delivery Navigator for Partners
Earned Apr 26, 2024 EDT
Membangun Data Warehouse dengan BigQuery
Earned Apr 26, 2024 EDT
Menginspeksi Dokumen Multimedia dengan Multimodalitas Gemini dan RAG Multimodal
Earned Apr 25, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Apr 23, 2024 EDT
Introduction to CES and Conversational Agents
Earned Apr 23, 2024 EDT
Custom Search with Embeddings in Vertex AI
Earned Apr 19, 2024 EDT
Develop Advanced Enterprise Search and Conversation Applications
Earned Apr 17, 2024 EDT
Improving developer velocity with Gemini Code Assist
Earned Apr 16, 2024 EDT
BigQuery Fundamentals for Oracle Professionals
Earned Apr 6, 2024 EDT
Data Warehousing for Partners: Process Data with Dataproc
Earned Apr 5, 2024 EDT
Data Warehousing for Partners: Migrate Data to BigQuery
Earned Apr 4, 2024 EDT
BigQuery Fundamentals for Snowflake Professionals
Earned Apr 3, 2024 EDT
Orchestrate LLM solutions with LangChain
Earned Apr 3, 2024 EDT
Data Warehousing for Partners: Optimize in BigQuery
Earned Apr 3, 2024 EDT
Penelusuran Vektor dan Embedding
Earned Apr 2, 2024 EDT
Getting Started with the Vertex AI Gemini API
Earned Apr 2, 2024 EDT
Data Warehousing for Partners: Design in BigQuery
Earned Apr 2, 2024 EDT
Introduction to Vertex Forecasting and Time Series in Practice
Earned Apr 2, 2024 EDT
Data Warehousing for Partners: Enable Google Cloud Customers
Earned Apr 2, 2024 EDT
Innovating with Google Cloud Artificial Intelligence
Earned Apr 1, 2024 EDT
Exploring Data Transformation with Google Cloud
Earned Apr 1, 2024 EDT
Managing Machine Learning Projects with Google Cloud
Earned Mar 31, 2024 EDT
App Dev with Gemini
Earned Mar 30, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Mar 30, 2024 EDT
Applying Machine Learning to your Data with Google Cloud
Earned Mar 30, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned Mar 30, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Mar 30, 2024 EDT
How Google Does Machine Learning
Earned Mar 29, 2024 EDT
Multimodality with Gemini
Earned Mar 29, 2024 EDT
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Earned Mar 26, 2024 EDT
Generative AI in App Integration
Earned Mar 19, 2024 EDT
Automate Data Capture at Scale with Document AI
Earned Des 29, 2023 EST
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Des 18, 2023 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned Des 4, 2023 EST
Rapid Migration & Modernization Program
Earned Nov 30, 2023 EST
Upgrading your skills to work with Generative AI
Earned Nov 3, 2023 EDT
Understand Your Google Cloud Costs
Earned Nov 3, 2023 EDT
Optimize Your Google Cloud Costs
Earned Nov 3, 2023 EDT
Scaling with Google Cloud Operations
Earned Nov 2, 2023 EDT
Exploring Data Transformation with Google Cloud
Earned Nov 2, 2023 EDT
Digital Transformation with Google Cloud
Earned Nov 2, 2023 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Okt 31, 2023 EDT
Search with AI Applications
Earned Okt 31, 2023 EDT
Generative AI for Business Leaders
Earned Okt 30, 2023 EDT
ML Pipelines on Google Cloud
Earned Okt 28, 2023 EDT
Machine Learning Operations (MLOps): Getting Started
Earned Okt 25, 2023 EDT
Recommendation Systems on Google Cloud
Earned Okt 25, 2023 EDT
Natural Language Processing on Google Cloud
Earned Okt 23, 2023 EDT
Computer Vision Fundamentals with Google Cloud
Earned Okt 15, 2023 EDT
Production Machine Learning Systems
Earned Okt 9, 2023 EDT
Machine Learning in the Enterprise
Earned Okt 8, 2023 EDT
Feature Engineering
Earned Okt 7, 2023 EDT
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned Sep 24, 2023 EDT
Launching into Machine Learning
Earned Sep 20, 2023 EDT
Pengantar AI dan Machine Learning di Google Cloud
Earned Sep 18, 2023 EDT
Menyiapkan Data untuk ML API di Google Cloud
Earned Sep 17, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Sep 15, 2023 EDT
Vertex AI Search for Commerce
Earned Sep 13, 2023 EDT
Cloud Hero BigQuery Skills
Earned Sep 3, 2023 EDT
Text Prompt Engineering Techniques
Earned Agu 14, 2023 EDT
Generative AI Explorer : Vertex AI
Earned Agu 13, 2023 EDT
DEPRECATED Planning for a Google Workspace Deployment
Earned Agu 9, 2023 EDT
Responsible AI: Menerapkan Prinsip AI dengan Google Cloud
Earned Agu 8, 2023 EDT
Generative AI Fundamentals
Earned Agu 8, 2023 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned Jul 15, 2023 EDT
Arsitektur Encoder-Decoder
Earned Jun 16, 2023 EDT
Membuat Model Pemberian Teks pada Gambar
Earned Jun 16, 2023 EDT
Generative AI Fundamentals - Bahasa Indonesia
Earned Jun 16, 2023 EDT
Pengantar Responsible AI
Earned Jun 16, 2023 EDT
Pengantar Vertex AI Studio
Earned Jun 9, 2023 EDT
Pengantar Pembuatan Gambar
Earned Mei 19, 2023 EDT
Penjelajah AI Generatif - Vertex AI
Earned Mei 18, 2023 EDT
Model Transformer dan Model BERT
Earned Mei 12, 2023 EDT
Mekanisme Atensi
Earned Mei 11, 2023 EDT
Pengantar Model Bahasa Besar
Earned Mei 11, 2023 EDT
Pengantar AI Generatif
Earned Mei 11, 2023 EDT
Infra Foundations - Implementing Private Google Access for VPC Service Controls
Earned Apr 30, 2023 EDT
Smart Analytics - Implementing a foundational data ingestion architecture
Earned Apr 30, 2023 EDT
Database Migration and Modernization - Cloud SQL for MySQL disaster recovery
Earned Apr 18, 2023 EDT
Database Migration and Modernization - AWS DynamoDB to Cloud Spanner
Earned Apr 15, 2023 EDT
Create and Manage AlloyDB Instances
Earned Apr 14, 2023 EDT
No Code November 2022 - Apps Scripts
Earned Nov 7, 2022 EST
No code november 2022
Earned Nov 4, 2022 EDT
Halloween 2022 Challenge
Earned Okt 31, 2022 EDT
Diwali Game 1: Rangoli and Google Sheets
Earned Okt 23, 2022 EDT
#GoogleClout: Next Edition
Earned Okt 11, 2022 EDT
Create and Manage Bigtable Instances
Earned Okt 1, 2022 EDT
Forecasting using Vertex AI AutoML
Earned Sep 28, 2022 EDT
Vertex AI Search for Commerce
Earned Sep 13, 2022 EDT
#GoogleClout Set 11 (10/10)
Earned Sep 7, 2022 EDT
#GoogleClout Set 10 (9/10)
Earned Sep 5, 2022 EDT
Automate Interactions with Contact Center AI
Earned Sep 5, 2022 EDT
Contact Center AI: Conversational Design Fundamentals
Earned Sep 4, 2022 EDT
Managing Change when Moving to Google Cloud
Earned Sep 2, 2022 EDT
#GoogleClout Set 9 (8/10)
Earned Agu 27, 2022 EDT
#GoogleClout Set 8 (7/10)
Earned Agu 22, 2022 EDT
#GoogleClout Set 7
Earned Agu 12, 2022 EDT
Create and Manage Cloud Spanner Instances
Earned Agu 10, 2022 EDT
#GoogleClout Set 6 (5/10)
Earned Agu 3, 2022 EDT
#GoogleClout Set 5 (4/10)
Earned Jul 27, 2022 EDT
#GoogleClout Set 4 (3/10)
Earned Jul 20, 2022 EDT
Hybrid Cloud Infrastructure Foundations with Anthos
Earned Jul 18, 2022 EDT
#GoogleClout Set 3 (2/10)
Earned Jul 13, 2022 EDT
#GoogleClout Set 2, 1/10
Earned Jul 6, 2022 EDT
Learn to Earn Cloud Data Challenge: Data & Database Engineering Skills
Earned Jul 6, 2022 EDT
Membangun dan Men-Deploy Solusi Machine Learning di Vertex AI
Earned Jul 5, 2022 EDT
Learn to Earn Cloud Challenge: Machine Learning Engineering Skills
Earned Jul 5, 2022 EDT
Perform Predictive Data Analysis in BigQuery
Earned Jul 2, 2022 EDT
Learn to Earn Cloud Challenge: Sports Data Analysis Skills
Earned Jul 2, 2022 EDT
Learn to Earn Cloud Data Challenge: Data Analyst Skills
Earned Jun 27, 2022 EDT
Membangun Data Warehouse dengan BigQuery
Earned Jun 9, 2022 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned Mei 2, 2022 EDT
Inside Track: DORA
Earned Mei 2, 2022 EDT
Cloud SQL
Earned Mei 2, 2022 EDT
Dasar-Dasar Google Cloud: Infrastruktur Inti
Earned Apr 21, 2022 EDT
Create and Manage Cloud SQL for PostgreSQL Instances
Earned Apr 20, 2022 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned Apr 19, 2022 EDT
Enterprise Database Migration
Earned Apr 18, 2022 EDT
#GoogleClout Set 1
Earned Apr 15, 2022 EDT
Google Cloud Essentials
Earned Mar 9, 2022 EST