A carefully designed path validated by hundreds of learners. Each phase has clear inputs, outputs, and validation criteria. Follow it and you'll go from completely not understanding to personally delivering a complete large-scale Agent project.
Bottom to top, each phase has a starting point, endpoint, and validation method.
Understand what an Agent is, why, and how. Build a complete mental map, master LLM, prompts, reasoning, and function calling.
Can explain Agent essence to anyone. Complete the 6-item self-check independently.
Master mainstream frameworks (LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex). Learn to select, combine, and customize.
Can choose the most suitable framework combo for any requirement with rationale.
Personally assemble discrete modules into an engineering project. From architecture to testing to deployment ops.
A runnable complete Agent system with docs, tests, and visual interface.
Build eval systems, master monitoring. Learn prompt optimization, cost control, error analysis.
Complete eval pipeline + monitoring dashboard + optimization iteration log.
Synthesize everything, from requirements to delivery, build a complete large-scale Agent yourself.
A complete, production-grade, open-source-able Agent project.
It's your best work.
Choose to learn in timeline order or pick the phases you need most.
Pick a direction that solves a real problem for you: