Create media search and media recommendations applications with AI Applications
Earned oct. 8, 2025 EDT
Configure AI Applications to optimize search results
Earned oct. 8, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned oct. 7, 2025 EDT
Create Data Stores for Gen AI Applications
Earned oct. 7, 2025 EDT
Recommendations with AI Applications
Earned oct. 6, 2025 EDT
Introduction to NotebookLM
Earned oct. 6, 2025 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned oct. 6, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned oct. 5, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned oct. 5, 2025 EDT
Build search and recommendations applications with AI Applications
Earned oct. 5, 2025 EDT
Introduction to AI Applications
Earned oct. 5, 2025 EDT
Getting Started with Terraform for Google Cloud
Earned juil. 21, 2025 EDT
Accelerate Knowledge Exchange with Gemini Enterprise
Earned mars 5, 2025 EST
Gemini for Cloud Architects
Earned fév. 8, 2025 EST
Gemini for DevOps Engineers
Earned fév. 8, 2025 EST
Introduction to Security in the World of AI
Earned fév. 7, 2025 EST
GCC Tech Learning Packs - TPU/GPU - SME Academy
Earned jan. 29, 2025 EST
Responsible AI for Developers: Privacy & Safety
Earned jan. 27, 2025 EST
Responsible AI for Developers: Interpretability & Transparency
Earned jan. 27, 2025 EST
Responsible AI for Developers: Fairness & Bias
Earned jan. 27, 2025 EST
Create Generative AI Apps on Google Cloud
Earned jan. 27, 2025 EST
ML Pipelines on Google Cloud
Earned jan. 25, 2025 EST
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned jan. 25, 2025 EST
Machine Learning Operations (MLOps) for Generative AI
Earned jan. 24, 2025 EST
Production Machine Learning Systems
Earned jan. 24, 2025 EST
Feature Engineering
Earned jan. 23, 2025 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned jan. 21, 2025 EST
Working with Notebooks in Vertex AI
Earned jan. 16, 2025 EST
Introduction to AI and Machine Learning on Google Cloud
Earned jan. 15, 2025 EST
Professional Machine Learning Engineer Study Guide
Earned jan. 14, 2025 EST
Set Up an App Dev Environment on Google Cloud
Earned juin 3, 2024 EDT
Preparing for your Professional Cloud Architect Journey
Earned juin 2, 2024 EDT
Introduction to Responsible AI
Earned mai 30, 2024 EDT
DEPRECATED Deploy Google Cloud Framework Data Foundation for SAP
Earned juin 14, 2023 EDT
Transformer Models and BERT Model
Earned mai 13, 2023 EDT
Attention Mechanism
Earned mai 12, 2023 EDT
Introduction to Large Language Models
Earned mai 12, 2023 EDT
Introduction to Generative AI
Earned mai 12, 2023 EDT
How Google Does Machine Learning
Earned avr. 20, 2023 EDT
Create and Manage AlloyDB Instances
Earned avr. 12, 2023 EDT
Architecting with Google Kubernetes Engine: Foundations
Earned fév. 21, 2023 EST
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned jan. 29, 2023 EST
Build Streaming Data Pipelines on Google Cloud
Earned jan. 29, 2023 EST
Build Batch Data Pipelines on Google Cloud
Earned jan. 29, 2023 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned jan. 27, 2023 EST
Preparing for Your Professional Cloud Security Engineer Journey
Earned jan. 8, 2023 EST
Serverless Data Processing with Dataflow: Foundations
Earned juil. 22, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned juil. 10, 2022 EDT
Preparing for your Professional Data Engineer Journey
Earned juil. 9, 2022 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned juin 17, 2022 EDT
Essential Google Cloud Infrastructure: Core Services
Earned juin 17, 2022 EDT
Optimize Costs for Google Kubernetes Engine
Earned juin 13, 2022 EDT
Set Up a Google Cloud Network
Earned juin 12, 2022 EDT
Develop Your Google Cloud Network
Earned juin 12, 2022 EDT
Logging and Monitoring in Google Cloud
Earned juin 10, 2022 EDT
Reliable Google Cloud Infrastructure: Design and Process
Earned juin 9, 2022 EDT
Preparing for your Professional Cloud Architect Journey
Earned juin 9, 2022 EDT
Essential Google Cloud Infrastructure: Foundation
Earned juin 8, 2022 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned juin 8, 2022 EDT
Getting Started with Google Kubernetes Engine
Earned juin 8, 2022 EDT
Set Up an App Dev Environment on Google Cloud
Earned mai 29, 2022 EDT
Curious about the powerful hardware behind AI? This course breaks down performance-optimized AI computers, showing you why they're so important. We'll explore how CPUs, GPUs, and TPUs make AI tasks super fast, what makes each one unique, and how AI software gets the most out of them. By the end, you'll know exactly how to pick the right compute for your AI projects, helping you make smart choices for your AI workkoads.
En savoir plus
Ready to get started with AI Hypercomputers? This course makes it easy! We'll cover the basics of what they are and how they help AI with AI workloads. You'll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right deployment approach for your needs.
En savoir plus
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!
En savoir plus
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!
En savoir plus
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!
En savoir plus
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!
En savoir plus
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.
En savoir plus
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.
En savoir plus
NotebookLM is an AI-powered collaborator that helps you do your best thinking. After uploading your documents, NotebookLM becomes an instant expert in those sources so you can read, take notes, and collaborate with it to refine and organize your ideas.
NotebookLM Pro gives you everything already included with NotebookLM, as well as higher utilization limits, access to premium features, and additional sharing options and analytics.
En savoir plus
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.)
En savoir plus
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.)
En savoir plus
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.)
En savoir plus
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!
En savoir plus
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.)
En savoir plus
This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
En savoir plus
Unite Google’s expertise in search and AI with Gemini Enterprise, a powerful tool designed to help employees find specific information from document storage, email, chats, ticketing systems, and other data sources, all from a single search bar. The Gemini Enterprise assistant can also help brainstorm, research, outline documents, and take actions like inviting coworkers to a calendar event to accelerate knowledge work and collaboration of all kinds.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
En savoir plus
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.
En savoir plus
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.
En savoir plus
Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.
En savoir plus
This is an opportunity for Technical Cloud Googlers to enhance their TPU/GPU skills and knowledge through a deep dive program covering the following focus areas/ individual tracks:
TPU/GPU Networking
GKE Expertise
Slurm Expertise
TPU/GPU Storage Best Practices
Common transformer/LLM frameworks (Huggingface/triton/etc)
Monitoring and logging for TPU/GPU
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
Generative AI applications can create new user experiences that were nearly impossible before the invention of large language models (LLMs). As an application developer, how can you use generative AI to build engaging, powerful apps on Google Cloud?
In this course, you'll learn about generative AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs. You'll learn about a production-ready architecture that can be used for generative AI applications and you'll build an LLM and RAG-based chat application.
En savoir plus
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.
En savoir plus
This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production.
Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks.
En savoir plus
This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
En savoir plus
This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
En savoir plus
Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.
En savoir plus
This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
En savoir plus
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.
En savoir plus
Earn a skill badge by completing the Deploy Google Cloud Framework Data Foundation for SAP quest. 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 quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.
This is the first course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine: Workloads course.
En savoir plus
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.
En savoir plus
In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.
En savoir plus
In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
En savoir plus
While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
En savoir plus
This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. Learners will be exposed to and engage with exam topics through a series of lectures, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.
En savoir plus
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
En savoir plus
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.
En savoir plus
This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
En savoir plus
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
En savoir plus
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
En savoir plus
Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge course to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness.
En savoir plus
Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.
En savoir plus
Earn a skill badge by completing the Develop your Google Cloud Network skill badge course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM roles and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches.
En savoir plus
This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud.
Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.
En savoir plus
This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.
En savoir plus
This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
En savoir plus
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.
En savoir plus
Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
En savoir plus
Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.
The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.
En savoir plus
Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.
AI Infrastructure: Cloud GPUs
Earned oct. 9, 2025 EDT
AI Infrastructure: Introduction to AI Hypercomputer
Earned oct. 9, 2025 EDT
Extend Gemini Enterprise Assistant Capabilities
Earned oct. 8, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned oct. 8, 2025 EDT
Configure AI Applications to optimize search results
Earned oct. 8, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned oct. 7, 2025 EDT
Create Data Stores for Gen AI Applications
Earned oct. 7, 2025 EDT
Recommendations with AI Applications
Earned oct. 6, 2025 EDT
Introduction to NotebookLM
Earned oct. 6, 2025 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned oct. 6, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned oct. 5, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned oct. 5, 2025 EDT
Build search and recommendations applications with AI Applications
Earned oct. 5, 2025 EDT
Introduction to AI Applications
Earned oct. 5, 2025 EDT
Getting Started with Terraform for Google Cloud
Earned juil. 21, 2025 EDT
Accelerate Knowledge Exchange with Gemini Enterprise
Earned mars 5, 2025 EST
Gemini for Cloud Architects
Earned fév. 8, 2025 EST
Gemini for DevOps Engineers
Earned fév. 8, 2025 EST
Introduction to Security in the World of AI
Earned fév. 7, 2025 EST
GCC Tech Learning Packs - TPU/GPU - SME Academy
Earned jan. 29, 2025 EST
Responsible AI for Developers: Privacy & Safety
Earned jan. 27, 2025 EST
Responsible AI for Developers: Interpretability & Transparency
Earned jan. 27, 2025 EST
Responsible AI for Developers: Fairness & Bias
Earned jan. 27, 2025 EST
Create Generative AI Apps on Google Cloud
Earned jan. 27, 2025 EST
ML Pipelines on Google Cloud
Earned jan. 25, 2025 EST
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned jan. 25, 2025 EST
Machine Learning Operations (MLOps) for Generative AI
Earned jan. 24, 2025 EST
Production Machine Learning Systems
Earned jan. 24, 2025 EST
Feature Engineering
Earned jan. 23, 2025 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned jan. 21, 2025 EST
Working with Notebooks in Vertex AI
Earned jan. 16, 2025 EST
Introduction to AI and Machine Learning on Google Cloud
Earned jan. 15, 2025 EST
Professional Machine Learning Engineer Study Guide
Earned jan. 14, 2025 EST
Set Up an App Dev Environment on Google Cloud
Earned juin 3, 2024 EDT
Preparing for your Professional Cloud Architect Journey
Earned juin 2, 2024 EDT
Introduction to Responsible AI
Earned mai 30, 2024 EDT
DEPRECATED Deploy Google Cloud Framework Data Foundation for SAP
Earned juin 14, 2023 EDT
Transformer Models and BERT Model
Earned mai 13, 2023 EDT
Attention Mechanism
Earned mai 12, 2023 EDT
Introduction to Large Language Models
Earned mai 12, 2023 EDT
Introduction to Generative AI
Earned mai 12, 2023 EDT
How Google Does Machine Learning
Earned avr. 20, 2023 EDT
Create and Manage AlloyDB Instances
Earned avr. 12, 2023 EDT
Architecting with Google Kubernetes Engine: Foundations
Earned fév. 21, 2023 EST
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned jan. 29, 2023 EST
Build Streaming Data Pipelines on Google Cloud
Earned jan. 29, 2023 EST
Build Batch Data Pipelines on Google Cloud
Earned jan. 29, 2023 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned jan. 27, 2023 EST
Preparing for Your Professional Cloud Security Engineer Journey
Earned jan. 8, 2023 EST
Serverless Data Processing with Dataflow: Foundations
Earned juil. 22, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned juil. 10, 2022 EDT
Preparing for your Professional Data Engineer Journey
Earned juil. 9, 2022 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned juin 17, 2022 EDT
Essential Google Cloud Infrastructure: Core Services
Earned juin 17, 2022 EDT
Optimize Costs for Google Kubernetes Engine
Earned juin 13, 2022 EDT
Set Up a Google Cloud Network
Earned juin 12, 2022 EDT
Develop Your Google Cloud Network
Earned juin 12, 2022 EDT
Logging and Monitoring in Google Cloud
Earned juin 10, 2022 EDT
Reliable Google Cloud Infrastructure: Design and Process
Earned juin 9, 2022 EDT
Preparing for your Professional Cloud Architect Journey
Earned juin 9, 2022 EDT
Essential Google Cloud Infrastructure: Foundation
Earned juin 8, 2022 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned juin 8, 2022 EDT
Getting Started with Google Kubernetes Engine
Earned juin 8, 2022 EDT
Set Up an App Dev Environment on Google Cloud
Earned mai 29, 2022 EDT