Deploy Kubernetes Applications on Google Cloud
Earned fév. 28, 2026 EST
Google Cloud Fundamentals: Core Infrastructure
Earned fév. 25, 2026 EST
Build Agents with Agent Development Kit (ADK)
Earned fév. 24, 2026 EST
Gemini for Application Developers
Earned fév. 22, 2026 EST
Machine Learning Operations (MLOps) for Generative AI
Earned fév. 22, 2026 EST
Introduction to Responsible AI
Earned fév. 22, 2026 EST
Introduction to Large Language Models
Earned fév. 22, 2026 EST
Introduction to Generative AI
Earned nov. 11, 2024 EST
Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
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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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Learn about how you can use Agent Development Kit (ADK) to build complex, production-ready AI agents. This course covers ADK’s open-source framework, moving from simple prompt engineering to a code-first, structured software development approach suitable for enterprise-grade, multi-agent systems.
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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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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 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.
Deploy Kubernetes Applications on Google Cloud
Earned fév. 28, 2026 EST
Google Cloud Fundamentals: Core Infrastructure
Earned fév. 25, 2026 EST
Build Agents with Agent Development Kit (ADK)
Earned fév. 24, 2026 EST
Gemini for Application Developers
Earned fév. 22, 2026 EST
Machine Learning Operations (MLOps) for Generative AI
Earned fév. 22, 2026 EST
Introduction to Responsible AI
Earned fév. 22, 2026 EST
Introduction to Large Language Models
Earned fév. 22, 2026 EST
Introduction to Generative AI
Earned nov. 11, 2024 EST