Zero to AI Engineer Roadmap
Week-by-week 90-day plan from basics to deployed project
Read GuideA project-based AI engineering course for engineering students and freshers. Live cohort classes, weekly one-on-one calls with a practising engineer, and six production projects you deploy yourself.

Weekly one-on-one calls with a practising engineer, six production projects, and mock interviews until you can run them cold. Applications close when the cohort fills.
Six things that make up the twelve months
18 modules covering LLMs, RAG, agents, MCP, MLOps, security and eval. Written with hiring managers at companies that ship AI products.
Learn moreTwelve to fourteen months with a practising AI engineer from Google, Microsoft, Flipkart or Razorpay. Weekly calls, mock interviews, code review.
Learn moreDay-to-day work, skills, interview loops and indicative Indian market salary bands for AI/ML, LLM, Agentic AI and RAG roles.
Learn more50+ interview packs with real questions, system designs and insider detail from engineers at Google, Amazon, Flipkart, Razorpay and CRED.
Learn moreA free tool that generates a week-by-week plan from your branch, year and target role. Export it, share it, tick things off.
Learn more20+ guides on LLMs, RAG, agents, prompting and career roadmaps. Written by mentors, revised every quarter.
Learn moreEighteen modules, three production projects, weekly mentorship, and mock interviews until you can run them cold.
Most Popular18 modules on LLMs, RAG, agents, LangGraph, CrewAI, MCP, MLOps, security and eval, plus production-grade projects

Prompt engineering, RAG, fine-tuning, evaluation, LLMOps, cost optimization, serving (vLLM/TGI)

Vector DBs, hybrid search, reranking, knowledge graphs, ColBERT, enterprise RAG with auth & multi-tenancy
Tools you will use
Program structure and role guides. Graduate placement results will be published here once the first cohort finishes — we do not report numbers we do not have yet.
Core ML model development, training pipelines, MLOps
16.5 LPAmarket band
Prompt engineering, RAG, fine-tuning, LLM evaluation
18.2 LPAmarket band
LangGraph, CrewAI, AutoGen, multi-agent systems
17.8 LPAmarket band
Vector DBs, retrieval systems, production APIs
14.5 LPAmarket band
Interactive tools our mentors use with students. Pick one and start in 30 seconds.
Get a personalized week-by-week plan based on your branch, year, and target AI role. Export, share, track progress.
Try it freeDay-to-day work, the skills employers test, the interview loop, and indicative Indian market salary bands for four AI engineering roles.
Read GuidesCompany-specific prep for Google, Microsoft, Amazon, Flipkart, Razorpay, CRED + 40 more. Real questions from recent candidates.
Explore PacksGuides written by the mentors who teach here. Updated every quarter.
Week-by-week 90-day plan from basics to deployed project
Read GuideTokens, attention, next-token prediction in plain language
Read GuideThe simplest working agent: tools, a loop, and boundaries
Read GuideThe pipeline behind grounded answers: index, retrieve, generate
Read GuideHands-on path: prompt well → add tools → add memory → go multi-step
Read GuideCore mental model: tools, memory, decide-act loop
Read GuideThe next cohort starts soon. We take a fixed number of students each time so everyone gets weekly time with a mentor.
Next cohort starts soon · 12-month program · 1:1 mentorship · Project-based