Recommended learning order:




Step One: AI For Everyone (Free)


- For non-technical people


- Understand the basic concepts and applications of AI


- about 6 hours




Step Two: Machine Learning Specialization (Free Audition)


- Andrew Ng Classics Course, in partnership with Stanford


- Supervised learning, unsupervised learning, reinforcement learning


- Approximately 3 months (10 hours per week)




Step Three: Deep Learning Specialization (Free Audition)


- Neural network, CNN, RNN, Transformer


- about 5 months

If you already have a programming foundation and want to quickly learn LLM application development:

Short courses (1-2 hours each, all free):
1. ChatGPT Prompt Engineering for Developers
   - Learn how to write prompts well
   - Partnering with OpenAI

2. Building Systems with the ChatGPT API
   - Build multi-step AI systems

3. LangChain for LLM Application Development
   - Learn LangChain framework

4. Building and Evaluating Advanced RAG
   - Advanced RAG technology

5. Finetuning Large Language Models
   - Getting started with model fine-tuning

Most recommended short courses for 2025:

Prompt Engineering:
- "ChatGPT Prompt Engineering for Developers"
  In partnership with OpenAI, taught by Andrew Ng + Isa Fulford

AI Agent:
- "AI Agents in LangGraph"
- "Multi AI Agent Systems with crewAI"

RAG and knowledge base:
- "Building and Evaluating Advanced RAG"
- "Knowledge Graphs for RAG"

Multimodality:
- "Multimodal RAG: Chat with Videos"
- "Building Multimodal Search and RAG"

Model fine-tuning:
- "Finetuning Large Language Models"
- "Efficiently Serving LLMs"