Introduction to Image Generation
Earned mai 24, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned mai 23, 2026 EDT
Introduction to Google Workspace with Gemini
Earned mai 16, 2026 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mai 12, 2026 EDT
Prompt Design in Agent Platform
Earned mai 11, 2026 EDT
Introduction to Large Language Models
Earned mai 10, 2026 EDT
Introduction to Responsible AI
Earned mai 10, 2026 EDT
Introduction to Generative AI
Earned mai 9, 2026 EDT
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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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.
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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 Agent Platform skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Agent Platform. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
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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 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 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.
Introduction to Image Generation
Earned mai 24, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned mai 23, 2026 EDT
Introduction to Google Workspace with Gemini
Earned mai 16, 2026 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mai 12, 2026 EDT
Prompt Design in Agent Platform
Earned mai 11, 2026 EDT
Introduction to Large Language Models
Earned mai 10, 2026 EDT
Introduction to Responsible AI
Earned mai 10, 2026 EDT
Introduction to Generative AI
Earned mai 9, 2026 EDT