Build Infrastructure with Terraform on Google Cloud
Earned mars 28, 2025 EDT
Develop Your Google Cloud Network
Earned mars 28, 2025 EDT
Set Up an App Dev Environment on Google Cloud
Earned mars 28, 2025 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned mars 28, 2025 EDT
Essential Google Cloud Infrastructure: Foundation
Earned mars 17, 2025 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned mars 12, 2025 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned mars 11, 2025 EDT
Scaling with Google Cloud Operations
Earned sept. 18, 2024 EDT
Trust and Security with Google Cloud
Earned sept. 18, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned sept. 18, 2024 EDT
Innovating with Google Cloud Artificial Intelligence
Earned sept. 17, 2024 EDT
Exploring Data Transformation with Google Cloud
Earned sept. 16, 2024 EDT
Digital Transformation with Google Cloud
Earned sept. 15, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned août 7, 2024 EDT
Gemini in Google Sheets
Earned juin 15, 2024 EDT
Introduction to Generative AI - Locales
Earned mai 29, 2024 EDT
Derive Insights from BigQuery Data
Earned mai 29, 2024 EDT
Build a Data Warehouse with BigQuery
Earned mai 29, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned mai 29, 2024 EDT
Prompt Design in Vertex AI
Earned mai 29, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mars 6, 2024 EST
Generative AI Fundamentals
Earned mars 6, 2024 EST
Introduction to Responsible AI
Earned mars 6, 2024 EST
Introduction to Large Language Models
Earned mars 6, 2024 EST
Introduction to Generative AI
Earned mars 6, 2024 EST
Generative AI Explorer - Vertex AI
Earned fév. 26, 2024 EST
Build and Deploy Machine Learning Solutions on Vertex AI
Earned fév. 25, 2024 EST
Create ML Models with BigQuery ML
Earned déc. 1, 2023 EST
BigQuery for Machine Learning
Earned déc. 1, 2023 EST
Google Cloud Essentials
Earned sept. 30, 2022 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned sept. 30, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned sept. 23, 2022 EDT
Build a Data Warehouse with BigQuery
Earned sept. 23, 2022 EDT
Derive Insights from BigQuery Data
Earned sept. 19, 2022 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned sept. 19, 2022 EDT
DEPRECATED BigQuery for Data Warehousing
Earned août 14, 2022 EDT
This structured course is for developers interested in building intelligent agents using the Agent Development Kit (ADK). It combines hands-on experience, core concepts, and practical application, to provide a comprehensive guide to using ADK. You can also join our community of Google Cloud experts and peers to ask questions, collaborate on answers, and connect with the Googlers making the products you use every day.
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Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.
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Gen AI: Navigate the Landscape is the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
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Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.
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Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools.
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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.
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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.
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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.
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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.
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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.
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.
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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.
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This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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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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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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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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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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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 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.
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Gemini for Google Workspace provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Sheets.
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This course, Introduction to Generative AI - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Introduction to Generative AI. 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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Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Looker Studio by connecting to BigQuery data.
En savoir plus
Complete the intermediate Build a Data Warehouse with BigQuery skill badge to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery. 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 course, and final assessment challenge lab, to receive a digital badge that you can share with your network.
En savoir plus
Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.
En savoir plus
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.
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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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Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. 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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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.
En savoir plus
The Generative AI Explorer - Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint.
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Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI skill badge course, where you learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models.
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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model.
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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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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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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. 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.
En savoir plus
Complete the intermediate Build a Data Warehouse with BigQuery skill badge to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery. 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 course, and final assessment challenge lab, to receive a digital badge that you can share with your network.
En savoir plus
Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Looker Studio by connecting to BigQuery data.
En savoir plus
Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.
En savoir plus
Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. 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. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
Build intelligent agents with Agent Development Kit (ADK)
Earned sept. 6, 2025 EDT
Gen AI Apps: Transform Your Work
Earned août 17, 2025 EDT
Gen AI: Navigate the Landscape
Earned août 17, 2025 EDT
Gen AI: Unlock Foundational Concepts
Earned août 16, 2025 EDT
Gen AI: Beyond the Chatbot
Earned août 10, 2025 EDT
Gen AI Agents: Transform Your Organization
Earned août 10, 2025 EDT
Essential Google Cloud Infrastructure: Core Services
Earned avr. 2, 2025 EDT
Build Infrastructure with Terraform on Google Cloud
Earned mars 28, 2025 EDT
Develop Your Google Cloud Network
Earned mars 28, 2025 EDT
Set Up an App Dev Environment on Google Cloud
Earned mars 28, 2025 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned mars 28, 2025 EDT
Essential Google Cloud Infrastructure: Foundation
Earned mars 17, 2025 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned mars 12, 2025 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned mars 11, 2025 EDT
Scaling with Google Cloud Operations
Earned sept. 18, 2024 EDT
Trust and Security with Google Cloud
Earned sept. 18, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned sept. 18, 2024 EDT
Innovating with Google Cloud Artificial Intelligence
Earned sept. 17, 2024 EDT
Exploring Data Transformation with Google Cloud
Earned sept. 16, 2024 EDT
Digital Transformation with Google Cloud
Earned sept. 15, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned août 7, 2024 EDT
Gemini in Google Sheets
Earned juin 15, 2024 EDT
Introduction to Generative AI - Locales
Earned mai 29, 2024 EDT
Derive Insights from BigQuery Data
Earned mai 29, 2024 EDT
Build a Data Warehouse with BigQuery
Earned mai 29, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned mai 29, 2024 EDT
Prompt Design in Vertex AI
Earned mai 29, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mars 6, 2024 EST
Generative AI Fundamentals
Earned mars 6, 2024 EST
Introduction to Responsible AI
Earned mars 6, 2024 EST
Introduction to Large Language Models
Earned mars 6, 2024 EST
Introduction to Generative AI
Earned mars 6, 2024 EST
Generative AI Explorer - Vertex AI
Earned fév. 26, 2024 EST
Build and Deploy Machine Learning Solutions on Vertex AI
Earned fév. 25, 2024 EST
Create ML Models with BigQuery ML
Earned déc. 1, 2023 EST
BigQuery for Machine Learning
Earned déc. 1, 2023 EST
Google Cloud Essentials
Earned sept. 30, 2022 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned sept. 30, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned sept. 23, 2022 EDT
Build a Data Warehouse with BigQuery
Earned sept. 23, 2022 EDT
Derive Insights from BigQuery Data
Earned sept. 19, 2022 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned sept. 19, 2022 EDT
DEPRECATED BigQuery for Data Warehousing
Earned août 14, 2022 EDT