DeepLearning.AI - Generative AI for Everyone
- Offered byCoursera
Generative AI for Everyone at Coursera Overview
Duration | 6 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Generative AI for Everyone at Coursera Highlights
- Earn a certificate of completion
- Add to your LinkedIn profile
- 6 quizzes
Generative AI for Everyone at Coursera Course details
- What you'll learn
- 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.
- Instructed by AI pioneer Andrew Ng, Generative AI for Everyone offers his unique perspective on empowering you and your work with generative AI. Andrew will guide you through how generative AI works and what it can do. It includes hands-on exercises where you'll learn to use generative AI to help in day-to-day work and receive tips on effective prompt engineering, as well as learning how to go beyond prompting for more advanced uses of AI.
- You will get insights into what generative AI can do, its potential, and its limitations. You will delve into real-world applications and learn common use cases. You will get hands-on time with generative AI projects to put your knowledge into action and gain insight into its impact on both business and society.
- This course was created to ensure everyone can be a participant in our AI-powered future.
Generative AI for Everyone at Coursera Curriculum
Introduction to Generative AI
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)
Week 1 resources
Week 1 lecture notes
What is Generative AI?
Generative AI applications
Intake Survey
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Generative AI Projects
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)
Generative AI in Business and Society
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 at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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