For Freshers & College Students
AI/ML Engineering Guide
A free, structured path from Python fundamentals to portfolio-ready AI/ML projects — built for people starting their engineering career, not people already in one.
Start freeWhat's in the guide
Python & ML fundamentals
Core Python, data handling, and the statistics/ML foundations everything else builds on.
LLM & GenAI
How large language models actually work, prompting patterns, and where they fit in real systems.
RAG (Retrieval-Augmented Generation)
Build systems that ground model output in real data — embeddings, vector search, retrieval pipelines.
Portfolio & Kaggle projects
Ship projects you can point to — a portfolio built for real applications and interviews, not just certificates.
Format & cost
This is a Guide, not a paid Program — free to start, self-paced, with community support along the way. If a paid, more intensive path makes sense for you later, that's what our Segment B programs are for.
Who this is for
- College students who want a real, structured on-ramp into AI/ML instead of scattered tutorials.
- Freshers deciding what to specialize in before their first job search.
- Anyone who wants a portfolio project before applying anywhere.
Community & cohort support
You're not working through this alone — there's a community channel for questions, project feedback, and peer accountability as new cohorts come through the guide.
More on the blog
Longer write-ups on career skills, Git/GitHub practice, and engineering fundamentals live on our blog.