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Hi {{ name }}, Most new-year goals fail because they’re vague. “Learn AI this year” has no first step, so it never starts. So here’s a specific one. At 2–3 hours a day (about an hour of video, the rest practising), this is what the next 16 weeks look like if you start this week. |
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01 |
Weeks 1–3: Python foundations
Python from zero, then OOP, async and Pydantic. Modules 01–02
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02 |
Weeks 4–6: How LLMs work
NLP intuition, LLM internals, LangChain and prompt engineering. Modules 03–05
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03 |
Weeks 7–10: Agents, RAG and MCP
Your first agent, production RAG, your own MCP server. First mock interview around here. Modules 06–08
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04 |
Weeks 11–13: Memory, LangGraph, evals, multi-agent
The part that makes systems reliable. Modules 09–12
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05 |
Weeks 14–16: Ship it
Guardrails, deployment on AWS and Azure, monitoring, your capstones and the final mock interview. Modules 13–16
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// NOTE
Where you could be by the end of April
A GitHub portfolio with a production-grade AI product you built module by module, two capstones of your own, a resume built around them, and two mock interviews behind you.
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// ONE PRICE FOR EVERYONE
₹30,000
One-time · GST included · 2 years of access
Card EMI 3–24 mo₹10,000 × 3, no card7-day 100% refund
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Prefer to start free? Follow the 26-week roadmap on the same schedule. The order is the same. |
BC |
Balaji Chippada
AGENTIC AI ENGINEER & EDUCATOR · 9+ YRS PRODUCTION AI |
P.S. Pick your daily slot today and put it in your calendar. Consistency beats intensity every time. | |
Build it. Don’t just watch it.
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