Generative AI for Everyone by Coursera
Course Highlights
- What generative AI is and how it works, its common use cases, and what this technology can and cannot do.
- How to think through the lifecycle of a generative AI project, from conception to launch, including how to build effective prompts.
- The potential opportunities and risks that generative AI technologies present to individuals, businesses, and society.
Skills you will learn!
Curriculum
16 Topics
Welcome
How Generative AI works
LLMs as a thought partner
AI is a general purpose technology
Writing
Reading
Chatting
What LLMs can and cannot do
Tips for prompting
Image generation (optional)
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Week 1 resources
Week 1 lecture notes
What is Generative AI?
Generative AI applications
Intake Survey
14 Topics
Using generative AI in software applications
Trying generative AI code yourself (optional)
Lifecycle of a generative AI project
Cost intuition
Retrieval Augmented Generation (RAG)
Fine-tuning
Pretraining an LLM
Choosing a model
How LLMs follow instructions: Instruction tuning and RLHF (optional)
Tool use and agents (optional)
Week 2 lecture notes
Software Applications
Advanced technologies: Beyond prompting
Trying generative AI code yourself (optional)
17 Topics
Day-to-day usage of web UI LLMs
Task analysis of jobs
Additional job analysis examples
New workflows and new opportunities
Teams to build generative AI software
Automation potential across sectors
Concerns about AI
Artificial General Intelligence
Responsible AI
Course Summary
Building a more intelligent world
Week 3 resources
Week 3 lecture notes
Acknowledgments
(Optional) Opportunity to Mentor Other Learners
Generative AI and business
Generative AI and society
Generative AI for Everyone
Related Generative AI (GenAI) Courses
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