Gen AI Agents: Transform Your Organization
Earned juil. 17, 2025 EDT
Gen AI Apps: Transform Your Work
Earned juil. 17, 2025 EDT
Gen AI: Navigate the Landscape
Earned juil. 17, 2025 EDT
Gen AI: Unlock Foundational Concepts
Earned juil. 16, 2025 EDT
Gen AI: Beyond the Chatbot
Earned juil. 15, 2025 EDT
Prepare Data for ML APIs on Google Cloud
Earned déc. 18, 2024 EST
Implementing Cloud Load Balancing for Compute Engine
Earned déc. 12, 2024 EST
Search with AI Applications
Earned juin 8, 2024 EDT
Implementing Generative AI with Vertex AI
Earned juin 8, 2024 EDT
Generative AI Explorer : Vertex AI
Earned mai 30, 2024 EDT
Gemini for Cloud Architects
Earned avr. 17, 2024 EDT
Generative AI Fundamentals
Earned avr. 3, 2024 EDT
Introduction to Responsible AI
Earned avr. 3, 2024 EDT
Introduction to Large Language Models
Earned avr. 3, 2024 EDT
Introduction to Generative AI
Earned avr. 1, 2024 EDT
Data Warehousing for Partners: Optimize in BigQuery
Earned juil. 8, 2022 EDT
Data Warehousing for Partners: Design in BigQuery
Earned juin 20, 2022 EDT
Data Warehousing for Partners: Enable Google Cloud Customers
Earned juin 13, 2022 EDT
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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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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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.
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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.
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(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used)
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.
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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
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This content is deprecated. Please see the latest version of the course, here.
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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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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.
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Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.
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Welcome to Design in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on schema design.
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This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.
Gen AI Agents: Transform Your Organization
Earned juil. 17, 2025 EDT
Gen AI Apps: Transform Your Work
Earned juil. 17, 2025 EDT
Gen AI: Navigate the Landscape
Earned juil. 17, 2025 EDT
Gen AI: Unlock Foundational Concepts
Earned juil. 16, 2025 EDT
Gen AI: Beyond the Chatbot
Earned juil. 15, 2025 EDT
Prepare Data for ML APIs on Google Cloud
Earned déc. 18, 2024 EST
Implementing Cloud Load Balancing for Compute Engine
Earned déc. 12, 2024 EST
Search with AI Applications
Earned juin 8, 2024 EDT
Implementing Generative AI with Vertex AI
Earned juin 8, 2024 EDT
Generative AI Explorer : Vertex AI
Earned mai 30, 2024 EDT
Gemini for Cloud Architects
Earned avr. 17, 2024 EDT
Generative AI Fundamentals
Earned avr. 3, 2024 EDT
Introduction to Responsible AI
Earned avr. 3, 2024 EDT
Introduction to Large Language Models
Earned avr. 3, 2024 EDT
Introduction to Generative AI
Earned avr. 1, 2024 EDT
Data Warehousing for Partners: Optimize in BigQuery
Earned juil. 8, 2022 EDT
Data Warehousing for Partners: Design in BigQuery
Earned juin 20, 2022 EDT
Data Warehousing for Partners: Enable Google Cloud Customers
Earned juin 13, 2022 EDT