- From deeplearning.ai
Generative AI for Everyone
- Self-paced
- Free Access
- 3 Sequences
- Introductive Level
Course details
Syllabus
Learning Objective
By the end of this course, you will learn
- What is generative AI
- What it can and cannot do
- How to use it in your own world/business
- Debunking misinformation about generative AI and thinking through how to use this technology best.
- Learning best practices for learning and exploring whether or not genAI would be useful.
Week 1: Introduction to Generative AI
Learning Objectives:
- Define Generative AI and illustrate how insights derived from supervised learning have enhanced our comprehension of Generative AI.
- Identify the limitations and boundaries of Generative AI and apply practical techniques and strategies for creating prompts that enhance the quality and relevance of large language models (LLMs) responses.
- List common use cases for Generative AI with writing, reading, and chatting tasks on web-based and software-based interfaces.
Lesson 1: What is Generative AI?
- Video: Welcome
- Video: How Generative AI works
- Video: AI is a general purpose technology
- Quiz: What is Generative AI?
Lesson 2: Generative AI applications
- Video: Writing
- Video: Reading
- Video: Chatting
- Video: What LLMs can and cannot do
- Video: Tips for Prompting
- Video: Image generation (optional)
- Quiz: Generative AI Applications
- Resources
- Reading: Week 1 Resources
Week 2: Generative AI Projects
Learning Objectives:
- Generative AI Projects: identify and build generative AI use cases and technology options
Lesson 1: Software Applications
- Video: Using generative AI in software applications
- Video: Trying gernative AI code yourself (optional)
- App Item: Trying generative AI code yourself (optional)
- Video: Lifecycle of a generative AI project
- Video: Cost Intuition
- Quiz: Software Applications
Lesson 2: Advanced technologies: Beyond prompting
- Video: Retrieval Augmented Generation (RAG)
- Video: Fine-tuning
- Video: Pretraining an LLM
- Video: Choosing a model
- Video: How LLMs follow instructions: Instruction tuning and RLHF (optional)
- Video: Tool use and agents (optional)
- Quiz: Advanced technologies: Beyond prompting
- Resources
- Reading: Week 2 Resources
Week 3: Generative AI in work and life
Learning Objectives:
- Impact on business and society
- How teams can take advantage of Generative AI
- AI risks and responsible AI
Lesson 1: Generative AI and business
- Video: Day-to-day usage of Web UI LLMs
- Video: Task analysis of jobs
- Video: Additional job analysis examples
- Video: New workflows and new opportunities
- Video: Teams to build generative AI software
- Video: Automation potential across sectors
- Quiz: Generative AI and business
Lesson 2: Generative AI and society
- Video: Concerns about AI
- Video: Artificial general intelligence
- Video: Responsible AI
- Video: Course Summary
- Video: Building a more intelligent world
- Quiz: Generative AI and society
- Resources
- Reading: Week 3 Resources
Prerequisite
Generative AI for Everyone is for anyone who’s interested in learning about the uses, impacts, and underlying technologies of generative AI, today and in the future. It doesn’t require any coding skills or prior knowledge of AI.
Instructors
Andrew Ng
A pioneer in the AI industry, Andrew Ng co-founded Google Brain and Coursera, led AI at Baidu, and has reached millions of learners with his machine learning courses.
Editor
Whether you want to build algorithms or build a company, deeplearning.ai’s courses will teach you key concepts and applications of AI.