Your roadmap to an AI career, not just another course list.
Six structured career paths built from real industry experience. Each one tells you exactly what to learn, in what order, and why — taught live by someone who does this work every day.
Debasish Maji
Currently leading AI Agent development at a top-tier AI company. Previously built Rovo Agent (RAG system) at Atlassian and engineered data systems serving 550M+ users at PhonePe. These paths reflect what actually gets you hired - not what looks good on a syllabus.
All learning paths
6 pathsMachine Learning Engineer
Intermediate to AdvancedMost PopularComplete path to become an ML Engineer
Data Scientist
Beginner to IntermediateMaster data analysis and ML fundamentals
NLP Engineer
Intermediate to AdvancedHigh DemandSpecialize in language AI and LLMs
Computer Vision Engineer
Intermediate to AdvancedMaster image and video AI
Generative AI Engineer
IntermediateTrendingBuild with LLMs and generative models
MLOps Engineer
IntermediateDeploy and scale ML systems
The 20-week journey
June 2026 cohort follows this exact path. Live classes every weekend.
Wk 1–3
ML Fundamentals
Regression, Classification, Overfitting
Wk 4–6
Deep Learning
Neural Networks, CNNs, RNNs
Wk 7–9
NLP & LLMs
Transformers, Fine-tuning, Embeddings
Wk 10–13
Generative AI
RAG, Prompt Engineering, Agents
Wk 14–16
AI Agents
Tool use, Multi-agent systems
Wk 17–19
MLOps
Docker, CI/CD, Model serving
Wk 20
Capstone Project
Production-grade AI system
June 2026 cohort
Stop reading roadmaps.
Start building AI systems.
Every weekend for 20 weeks, starting 11th July. Live instruction. Real projects. The same techniques used to build production AI systems serving hundreds of millions of users.