AI Engineer Roadmap — Zero to Agentic AI
Learn AI Engineering, RAG and Agentic AI step by step, in simple Hinglish. हर lesson सिर्फ़ पिछले lessons पर टिका है — कोई topic अपनी नींव से पहले नहीं आता।
How to use this site / कैसे use करें
- Lessons क्रम से पढ़ो — Day 1 से शुरू करो।
- हर code box पर copy button है — paste करके खुद चलाओ।
- हर lesson के आखिर में quiz दो।
The learning path / सीखने का क्रम
flowchart LR
A[Python + APIs] --> B[LLM basics]
B --> C[Prompting + JSON]
C --> D[Tool calling]
D --> E[Classic ML]
E --> F[Embeddings]
F --> G[RAG]
G --> H[Agents]
H --> I[Multi-agent + MCP]
I --> J[Production + Cloud]
J --> K[Interview + Certification]
Weeks / हफ़्ते
| Week | Topic | What you will build / क्या बनाओगे |
|---|---|---|
| 1 | Foundation + LLM core | Your own API, chatbot with memory, AI tool calling |
| 2 | Classic ML + RAG | Document Q&A app with citations (Project 1) |
| 3 | SQL + Agentic AI + Multi-agent | Multi-agent research assistant (Project 2) |
| 4 | Production, Cloud, Voice agents, Interview | Production agent on Azure (Project 3) |
| 5–6 | Certifications | AI-103 + Claude exam prep with practice questions |