Introduction to Generative AI-What is Generative AI?
Welcome
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How Generative AI works
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LLMs as a thought partner
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AI is a general purpose technology
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Introduction to Generative AI-Generative AI Applications
Writing
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Reading
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Chatting
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What LLMs can and cannot do
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Tips for prompting
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Image generation (optional)
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Introduction to Generative AI-Resources
Week 1 resources
Introduction to Generative AI-Lecture Notes (Optional)
Week 1 lecture notes
Generative AI Projects-Software applications
Using generative AI in software applications
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Trying generative AI code yourself (optional)
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Lifecycle of a generative AI project
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Cost intuition
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Generative AI Projects-Advanced technologies: Beyond prompting
Retrieval Augmented Generation (RAG)
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Fine-tuning
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Pretraining an LLM
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Choosing a model
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How LLMs follow instructions: Instruction tuning and RLHF (optional)
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Tool use and agents (optional)
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Generative AI Projects-Lecture Notes (Optional)
Week 2 lecture notes
Generative AI in Business and Society-Generative AI and business
Day-to-day usage of web UI LLMs
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Task analysis of jobs
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Additional job analysis examples
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New workflows and new opportunities
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Teams to build generative AI software
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Automation potential across sectors
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Generative AI in Business and Society-Generative AI and society
Concerns about AI
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Artificial General Intelligence
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Responsible AI
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Course Summary
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Building a more intelligent world
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Generative AI in Business and Society-Resources
Week 3 resources
Generative AI in Business and Society-Lecture Notes (Optional)
Week 3 lecture notes
Generative AI in Business and Society-Acknowledgments
Acknowledgments
(Optional) Opportunity to Mentor Other Learners