EulerFoldMastering AI Agent Systems: From Foundations to Production
“A six‑week, hands‑on roadmap that takes a beginner from core Python and LLM basics to designing, building, and evaluating production‑grade multi‑agent workflows, mirroring the technical expectations of a Staff AI & Agentic Systems Engineer.”
Week 1 – Advanced Python for AI Engineering
Write clean, type‑safe, asynchronous Python code suitable for high‑performance AI services.
Week 2 – LLM Fundamentals & Prompt Engineering
Explain how LLMs work and craft effective prompts for diverse agentic tasks.
Week 3 – Agentic Frameworks (LangChain / LangGraph)
Construct a multi‑agent workflow that uses tools and maintains state.
Week 4 – Evaluation, Benchmarking & Reliability
Design a rigorous benchmark suite to measure agent accuracy, latency, and reliability.
Week 5 – AI‑Assisted Engineering & Developer Tooling
Leverage AI coding assistants to accelerate development while maintaining code quality and security.
Week 6 – Production‑Grade Agentic System Architecture
Architect, containerize, and deploy an observable, scalable agent service with CI/CD.
References
Week 1: Week 1 – Advanced Python for AI Engineering
Week 2: Week 2 – LLM Fundamentals & Prompt Engineering
Week 3: Week 3 – Agentic Frameworks (LangChain / LangGraph)
Week 4: Week 4 – Evaluation, Benchmarking & Reliability
Week 5: Week 5 – AI‑Assisted Engineering & Developer Tooling
Week 6: Week 6 – Production‑Grade Agentic System Architecture
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