Courses
🇷🇺 Russian version: courses.ru.md
Free and open educational programs on AI — from beginner to pro.
Contents
- For Beginners
- Advanced
- Specialization: Agents
- Specialization: Local Models
- Practice in This Handbook
- What’s Next
1. For Beginners
| Course | Organization | Description | Duration |
|---|---|---|---|
| AI For Everyone | DeepLearning.AI | Understanding AI without math | 10 hours |
| Hugging Face NLP Course | Hugging Face | NLP from basics to transformers | 20 hours |
| fast.ai Practical Deep Learning | fast.ai | Practice from lesson one | 30 hours |
| Intro to LLMs | GitHub | LLM from theory to code | Self-paced |
| Google ML Crash Course | ML fundamentals with exercises | 15 hours |
2. Advanced
| Course | Description | For Whom |
|---|---|---|
| DeepLearning.AI Short Courses | Short courses on LLM, agents, RAG | Developers |
| Stanford CS224N | NLP with deep learning | Researchers |
| CS229 Machine Learning | Classic ML from Andrew Ng | Mathematicians |
| Full Stack Deep Learning | Production ML: MLOps, deployment | Engineers |
| MIT 6.S191 | Intro to deep learning | Students |
3. Specialization: Agents
| Course | Description | Stack |
|---|---|---|
| DeepLearning.AI: AI Agents in LangGraph | Building agents with LangGraph | LangGraph, LangChain |
| Multi AI Agent Systems with CrewAI | Multi-agent systems | CrewAI |
| ed-donner/agents | 6-week agent course |
OpenAI SDK, CrewAI, LangGraph |
| OpenAI Agents SDK Quickstart | Official OpenAI guide | OpenAI Agents SDK |
| agents/ section in this handbook | From architecture to production | Ollama + any framework |
4. Specialization: Local Models
| Course / Resource | What It Gives |
|---|---|
| r/LocalLLaMA Wiki | Community knowledge base |
| Ollama Documentation | Official documentation |
| llama.cpp Docs | Technical GGUF details |
| local-models/ section in this handbook | Practical guides for installation and setup |
5. Practice in This Handbook
The entire handbook is built as a practical guide:
| Section | What You’ll Learn |
|---|---|
| basics/README.md | Understand “from zero”: AI terms, hardware, installation |
| local-models/getting-started.md | Install and run your first model |
| local-models/running-models.md | Work with models via terminal |
| agents/tutorials/01-first-agent.md | Create your first AI agent |
| agents/tutorials/02-agent-team.md | Build an agent team for a project |
6. What’s Next
| If You Want | Go To |
|---|---|
| Find communities to discuss | communities.md |
| Explore English resources | en.md |
| Practice with local models | ../local-models/README.md |
| Return to resources list | README.md |
In section: ru · en · courses · communities
Related sections: Zero Level · Local Models · AI Agents
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