Introduction to Generative AI Learning Path

Overview

This learning path offers a comprehensive introduction to generative AI. This specialization explores the foundations of large language models (LLMs), their diverse applications, and the ethical considerations crucial for responsible AI development and deployment.

Syllabus

Course 1: Introduction to Generative AI
Course 2: Introduction to Large Language Models
Course 3: Introduction to Responsible AI
Course 4: Responsible AI: Applying AI Principles with Google Cloud

Courses

6 reviews
1 hour 1 minute
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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.
1 review
15 minutes
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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 7 AI principles.
0 reviews
52 minutes
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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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1 hour 57 minutes
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This course, Responsible AI: Applying AI Principles with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Responsible AI: Applying AI Principles with Google Cloud. 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.