Learning paths

Ordered topics, checkpoint gates and a map that keeps the whole route visible.

AI-native developer

A practical route from model fundamentals to grounded agents, reliable tool use, evaluation, security, and local deployment.

26 topics 5 checkpoints about 40 h beginner → advanced

llm AI and LLM engineering

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Computer science foundations

A practical route through algorithms, data representation, operating systems, developer tools, and network protocols.

23 topics 4 checkpoints about 46 h beginner → intermediate

cs CS foundations

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Frontend foundations

A practical route from browser-native structure and layout to accessible interfaces, reliable tests, and measured production delivery.

20 topics 4 checkpoints about 32 h beginner → intermediate

ui Frontend

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Go for backend engineering

Thirty topics take you from Go syntax and API design through concurrent HTTP services, database access, testing, and evidence-based performance work.

30 topics 5 checkpoints about 46 h beginner → advanced

go Go

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JavaScript foundations for TypeScript

A migration-focused route through JavaScript values, object behavior, asynchronous control flow, and the runtime boundaries that static types cannot verify.

24 topics 4 checkpoints about 22 h beginner → intermediate

js JavaScript

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Python from zero

A 26-topic route from Python syntax and data to tested command-line programs, explicit object contracts, static typing, and deliberate concurrency.

26 topics 5 checkpoints about 27 h beginner → intermediate

py Python

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