Mettez en pratique vos compétences dans la console Google Cloud
Rhuari Livingston
Date d'abonnement : 2024
Ligue d'Argent
4850 points
Introduction to Large Language Models
Earned mai 31, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned mai 30, 2024 EDT
Introduction to Responsible AI
Earned mai 30, 2024 EDT
Introduction to Gemini for Google Workspace
Earned mai 30, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mai 30, 2024 EDT
Introduction to Generative AI
Earned mai 28, 2024 EDT
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 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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Gemini for Google Workspace 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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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 Large Language Models
Earned mai 31, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned mai 30, 2024 EDT
Introduction to Responsible AI
Earned mai 30, 2024 EDT
Introduction to Gemini for Google Workspace
Earned mai 30, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mai 30, 2024 EDT
Introduction to Generative AI
Earned mai 28, 2024 EDT