Zero to Hired AI Engineer/01 Python Foundations & Developer Setup

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Python Foundations & Developer Setup

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03APIs, HTTP, Async & FastAPI

04Data Handling & SQL

05Math Intuition + Classical Machine Learning

06Deep Learning with PyTorch

07From NLP to Transformers (build a Mini-GPT)

08LLM APIs & Open-Source Models

09Prompt & Context Engineering

10Embeddings & Vector Databases

11RAG End to End (Project 1)

12Advanced RAG, Agentic RAG & RAG Evaluation

13AI Agents from Scratch (no framework)

14LangChain Fundamentals

15LangGraph: Stateful, Controllable Agents

16MCP (Model Context Protocol) + A2A

17Agent Skills (SKILL.md) + Build a Skill-Router Agent

18Multi-Agent Systems

19Evals, Observability, Guardrails & Security

20Fine-Tuning (LoRA/QLoRA) & Inference Serving

21Deployment & LLMOps (Project 3)

22Capstone I: Design & MVP

23Capstone II: Ship, Polish & Demo Day

24Job-Ready: Resume, Interviews & Applications

25Electives: voice, cloud, low-code and vision

26Weekly tracks: DSA + SQL and AI coding tools

§ 1.15section 16 of 16·~2 min

Week 1 quiz

Ten questions on this week. Pass mark: 7/10. Re-read the matching lesson for any you miss.