Foundations
Build the programming and data foundation needed for sustainable learning.
- Python and the command line
- Basic math and statistics
- Data cleaning and visualization
Learning direction
Artificial Intelligence
Start with Python, data, and model fundamentals, then ship a verifiable AI application or research reproduction.
Skill map
From foundations to real delivery
Understand Models
Learn what models can and cannot do, and how to verify them.
- Machine-learning fundamentals
- Prompts, context, and retrieval
- Evaluation and error analysis
Real Project
Turn one well-defined problem into a reproducible minimum system.
- Model and API integration
- RAG or agent workflows
- Safety, cost, and fallbacks
Delivery and Career
Demonstrate skill through a project, experiment log, and open-source contribution.
- README and demo
- Reproduction report
- Open-source collaboration
Put the skills to work
Recommended learning and practice items
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LangChain
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OpenAI Python SDK
Official OpenAI Python SDK for typed clients, streaming responses, and API compatibility.
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Transformers
Pretrained-model toolkit spanning text, vision, audio, and multimodal tasks.
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