Learn by shipping, not collecting tutorials.
A personalized path from software foundations to production AI, with time estimates, prerequisites, practice tasks and proof-of-skill projects.
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175h
At your pace
25 wk
AI application developer: Build useful LLM products, RAG systems and AI features. The full roadmap contains about 175 focused learning hours, excluding projects.
Python for product development
Recommended for ai application developer. Spend about 8 hours, then complete the practice task and save the proof.
Select a node to open its lesson plan. Follow the connections from foundations to production.
Software foundations
Write, test and connect the code every AI product depends on.
Machine learning essentials
Learn enough ML to evaluate models and make sound product decisions.
LLM application development
Move from impressive demos to controlled, testable AI features.
RAG, tools and agents
Connect models to knowledge and actions without losing control.
Production AI engineering
Ship systems that remain secure, observable and affordable after launch.
Practice deliberately
Test knowledge, then build something real.
Use quizzes to find weak concepts and the practical AI course for deeper guided exercises.