Machine Learning Operations (MLOps) for Generative AI
Earned أكتوبر 30, 2024 EDT
Responsible AI for Developers: Privacy & Safety
Earned أكتوبر 30, 2024 EDT
Responsible AI for Developers: Interpretability & Transparency
Earned أكتوبر 21, 2024 EDT
Responsible AI for Developers: Fairness & Bias
Earned أكتوبر 21, 2024 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned أكتوبر 21, 2024 EDT
Vector Search and Embeddings
Earned أكتوبر 16, 2024 EDT
Introduction to Vertex AI Studio
Earned أكتوبر 16, 2024 EDT
Create Image Captioning Models
Earned أكتوبر 16, 2024 EDT
Transformer Models and BERT Model
Earned أكتوبر 16, 2024 EDT
Encoder-Decoder Architecture
Earned أكتوبر 15, 2024 EDT
Attention Mechanism
Earned أكتوبر 15, 2024 EDT
Introduction to Image Generation
Earned أكتوبر 15, 2024 EDT
Develop GenAI Apps with Gemini and Streamlit
Earned أكتوبر 15, 2024 EDT
Gemini for end-to-end SDLC
Earned أكتوبر 15, 2024 EDT
Gemini for DevOps Engineers
Earned أكتوبر 15, 2024 EDT
Gemini for Security Engineers
Earned أكتوبر 15, 2024 EDT
Gemini for Network Engineers
Earned أكتوبر 15, 2024 EDT
Gemini for Data Scientists and Analysts
Earned أكتوبر 15, 2024 EDT
Gemini for Cloud Architects
Earned أكتوبر 14, 2024 EDT
Gemini for Application Developers
Earned أكتوبر 14, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned أكتوبر 14, 2024 EDT
Prompt Design in Vertex AI
Earned أكتوبر 14, 2024 EDT
Introduction to Responsible AI
Earned أكتوبر 2, 2024 EDT
Introduction to Large Language Models
Earned أكتوبر 2, 2024 EDT
Introduction to Generative AI
Earned سبتمبر 30, 2024 EDT
Cloud Hero DevOps Skills
Earned يونيو 5, 2023 EDT
Cloud Engineering
Earned يونيو 5, 2023 EDT
New Year, New Skills: Blue Challenge (A)
Earned يناير 23, 2023 EST
New Year, New Skills: Red Challenge (A)
Earned يناير 16, 2023 EST
New Year, New Skills: Yellow Challenge (A)
Earned يناير 11, 2023 EST
New Year, New Skills: Green Challenge (A)
Earned يناير 4, 2023 EST
Configure your Workplace: Google Workspace for IT Admins
Earned يناير 3, 2023 EST
Google Workspace for IT Administrators
Earned يناير 2, 2023 EST
Google Workspace User and Resource Management
Earned ديسمبر 10, 2022 EST
Baseline: Infrastructure
Earned ديسمبر 5, 2022 EST
Google Cloud Essentials
Earned ديسمبر 5, 2022 EST
Baseline: Data, ML, AI
Earned ديسمبر 4, 2022 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
Earned ديسمبر 4, 2022 EST
Prepare Data for ML APIs on Google Cloud
Earned ديسمبر 4, 2022 EST
Build a Secure Google Cloud Network
Earned ديسمبر 4, 2022 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud - Locales
Earned نوفمبر 30, 2022 EST
Set Up an App Dev Environment on Google Cloud
Earned نوفمبر 26, 2022 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned نوفمبر 23, 2022 EST
Implementing Cloud Load Balancing for Compute Engine
Earned نوفمبر 17, 2022 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Earned نوفمبر 17, 2022 EST
This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
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This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.
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This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.
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Complete the intermediate Inspect Rich Documents with Gemini Multimodality and Multimodal RAG skill badge to demonstrate skills in the following: using multimodal prompts to extract information from text and visual data, generating a video description, and retrieving extra information beyond the video using multimodality with Gemini; building metadata of documents containing text and images, getting all relevant text chunks, and printing citations by using Multimodal Retrieval Augmented Generation (RAG) with Gemini. 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 this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Explore AI-powered search technologies, tools, and applications in this course. Learn semantic search utilizing vector embeddings, hybrid search combining semantic and keyword approaches, and retrieval-augmented generation (RAG) minimizing AI hallucinations as a grounded AI agent. Gain practical experience with Vertex AI Vector Search to build your intelligent search engine.
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This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.
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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
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This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.
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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
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Complete the intermediate Develop GenAI Apps with Gemini and Streamlit skill badge to demonstrate skills in the following: text generation, applying function calls with the Python SDK and the Gemini API, and deploying a Streamlit application with Cloud Run. You will explore different ways to prompt Gemini for text generation, use Cloud Shell to test and iterate on a Streamlit application, and then package it as a Docker container deployed in Cloud Run. 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 this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC).
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps engineers manage infrastructure. You learn how to prompt Gemini to find and understand application logs, create a GKE cluster, and investigate how to create a build environment. Using a hands-on lab, you experience how Gemini improves the DevOps workflow.
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you secure your cloud environment and resources. You learn how to deploy example workloads into an environment in Google Cloud, identify security misconfigurations with Gemini, and remediate security misconfigurations with Gemini. Using a hands-on lab, you experience how Gemini improves your cloud security posture.
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps network engineers create, update, and maintain VPC networks. You learn how to prompt Gemini to provide specific guidance for your networking tasks, beyond what you would receive from a search engine. Using a hands-on lab, you experience how Gemini makes it easier for you to work with Google Cloud VPC networks.
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow.
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow.
Duet AI was renamed to Gemini, our next-generation model.
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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. 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 this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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Welcome Gamers! Learn to navigate that iterative journey efficiently and effectively using Google Cloud's operations tools!, all while having fun! Deploy a Kubernetes cluster along with a service using Terraform. You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.
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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Associate Cloud Engineer Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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New year, new skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.
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New year, new skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.
Learn more
New year, New skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.
Learn more
New year, new skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.
Learn more
Earn a skill badge by completing the Configure your Workplace: Google Workspace for IT Admins quest, where you will get try out the Admin role for Workspace and learn to provision Groups, manage applications, security, and manage Meet. 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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In this quest, you will gain hands-on experience on several topics in Google Workspace Administration including security, provisioning users and groups, managing applications, and managing Google Meet.
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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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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this course is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Monitoring and Cloud Functions. You will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.
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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.
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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API and Video Intelligence. Want extra help? 1-minute videos walk you through key concepts for each lab.
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This course, Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud. 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 Googl…
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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API. 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 this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Earn a skill badge by completing the Build and Secure Networks in Google Cloud course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud. 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, and final assessment challenge lab, to receive a digital badge that you can share with your network.
Learn more
This course, Google Cloud Computing Foundations: Networking & Security in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Networking & Security in Google Cloud.
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: Dat…
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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub. 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 this skill badge, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
Learn more
This course, Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Infrastructure in Google Cloud. 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 C…
Learn more
Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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This course, Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Cloud Computing Fundamentals .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
…
Machine Learning Operations (MLOps) for Generative AI
Earned أكتوبر 30, 2024 EDT
Responsible AI for Developers: Privacy & Safety
Earned أكتوبر 30, 2024 EDT
Responsible AI for Developers: Interpretability & Transparency
Earned أكتوبر 21, 2024 EDT
Responsible AI for Developers: Fairness & Bias
Earned أكتوبر 21, 2024 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned أكتوبر 21, 2024 EDT
Vector Search and Embeddings
Earned أكتوبر 16, 2024 EDT
Introduction to Vertex AI Studio
Earned أكتوبر 16, 2024 EDT
Create Image Captioning Models
Earned أكتوبر 16, 2024 EDT
Transformer Models and BERT Model
Earned أكتوبر 16, 2024 EDT
Encoder-Decoder Architecture
Earned أكتوبر 15, 2024 EDT
Attention Mechanism
Earned أكتوبر 15, 2024 EDT
Introduction to Image Generation
Earned أكتوبر 15, 2024 EDT
Develop GenAI Apps with Gemini and Streamlit
Earned أكتوبر 15, 2024 EDT
Gemini for end-to-end SDLC
Earned أكتوبر 15, 2024 EDT
Gemini for DevOps Engineers
Earned أكتوبر 15, 2024 EDT
Gemini for Security Engineers
Earned أكتوبر 15, 2024 EDT
Gemini for Network Engineers
Earned أكتوبر 15, 2024 EDT
Gemini for Data Scientists and Analysts
Earned أكتوبر 15, 2024 EDT
Gemini for Cloud Architects
Earned أكتوبر 14, 2024 EDT
Gemini for Application Developers
Earned أكتوبر 14, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned أكتوبر 14, 2024 EDT
Prompt Design in Vertex AI
Earned أكتوبر 14, 2024 EDT
Introduction to Responsible AI
Earned أكتوبر 2, 2024 EDT
Introduction to Large Language Models
Earned أكتوبر 2, 2024 EDT
Introduction to Generative AI
Earned سبتمبر 30, 2024 EDT
Cloud Hero DevOps Skills
Earned يونيو 5, 2023 EDT
Cloud Engineering
Earned يونيو 5, 2023 EDT
New Year, New Skills: Blue Challenge (A)
Earned يناير 23, 2023 EST
New Year, New Skills: Red Challenge (A)
Earned يناير 16, 2023 EST
New Year, New Skills: Yellow Challenge (A)
Earned يناير 11, 2023 EST
New Year, New Skills: Green Challenge (A)
Earned يناير 4, 2023 EST
Configure your Workplace: Google Workspace for IT Admins
Earned يناير 3, 2023 EST
Google Workspace for IT Administrators
Earned يناير 2, 2023 EST
Google Workspace User and Resource Management
Earned ديسمبر 10, 2022 EST
Baseline: Infrastructure
Earned ديسمبر 5, 2022 EST
Google Cloud Essentials
Earned ديسمبر 5, 2022 EST
Baseline: Data, ML, AI
Earned ديسمبر 4, 2022 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
Earned ديسمبر 4, 2022 EST
Prepare Data for ML APIs on Google Cloud
Earned ديسمبر 4, 2022 EST
Build a Secure Google Cloud Network
Earned ديسمبر 4, 2022 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud - Locales
Earned نوفمبر 30, 2022 EST
Set Up an App Dev Environment on Google Cloud
Earned نوفمبر 26, 2022 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned نوفمبر 23, 2022 EST
Implementing Cloud Load Balancing for Compute Engine
Earned نوفمبر 17, 2022 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Earned نوفمبر 17, 2022 EST