Introduction to AI and Machine Learning on Google Cloud
Earned juil. 27, 2025 EDT
Build a Certification Study Guide: PMLE
Earned juil. 20, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned juil. 11, 2025 EDT
Prompt Design in Vertex AI
Earned juil. 11, 2025 EDT
Introduction to Vertex AI Studio
Earned juil. 8, 2025 EDT
Introduction to Responsible AI
Earned juin 30, 2025 EDT
Introduction to Large Language Models
Earned juin 30, 2025 EDT
Introduction to Generative AI
Earned juin 30, 2025 EDT
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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Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
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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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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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This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.
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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.
Introduction to AI and Machine Learning on Google Cloud
Earned juil. 27, 2025 EDT
Build a Certification Study Guide: PMLE
Earned juil. 20, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned juil. 11, 2025 EDT
Prompt Design in Vertex AI
Earned juil. 11, 2025 EDT
Introduction to Vertex AI Studio
Earned juil. 8, 2025 EDT
Introduction to Responsible AI
Earned juin 30, 2025 EDT
Introduction to Large Language Models
Earned juin 30, 2025 EDT
Introduction to Generative AI
Earned juin 30, 2025 EDT