AIML & Agentic AI

Production Level Learning 🔥

45 Days Beginner Summer 2026

What you'll build

AI/ML Foundations — build a strong base in machine learning concepts & real-world use cases
Generative AI — work with LLMs, prompt engineering & AI tools to build smarter systems
Agentic AI Development — create autonomous AI agents that can think, plan & execute tasks
Real-world AI Projects — build intelligent applications (chatbots, automation agents, AI tools)

Program Fee

₹3999.00 ₹2999.00

✓ Referral code applicable

FLAMES '26

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By registering you agree to show up and put in the work. 🔥

What You Get

Everything you need to ship a real project — in 45 days.

Live Sessions + Recordings

All classes are live. Every session is recorded and shared in the cohort group within 24 hours.

Daily Tasks + Reviews

One task per day, reviewed at the end of each week. Accountability is built in — not optional.

Private Cohort Community

A dedicated WhatsApp group with your batch. Ask questions, share progress, get unstuck fast.

1-on-1 Doubt Sessions

Scheduled mentor slots for deep dives into your code, project design, or career questions.

Portfolio-Ready Project

You ship a real, deployed project that goes on your GitHub and resume — not a tutorial clone.

Verifiable Certificate

A completion certificate tied to your Angaar profile — shareable, verifiable, and career-relevant.

Frequently Asked Questions

Straight answers to the questions we always get.

It depends on the track level. Beginner tracks start from scratch — all you need is a computer and the drive to learn. Intermediate tracks expect you to already know how to write and run basic code.

Approximately 2–3 focused hours a day. This is an intensive summer training, not a light short course. If you can't commit to that, this isn't the right program for you right now.

You'll receive an email confirmation with next steps. Our team reviews registrations and sends your payment details and cohort group link within 24 hours.

Yes — up to 3 tracks per FLAMES edition. But think carefully. Most students who spread across 3 tracks without finishing the first perform poorly. Commit to one, crush it, then add more.

Full refunds within 3 days of batch start. After that, no refunds are issued. We encourage you to attend the first session — most students stay once they see what's inside.

The certificate itself matters less than the portfolio project you build. A deployed project on your GitHub speaks louder than any certificate. That said, the certificate is verifiable via our platform.

Students Speak

Real words from FLAMES '25 students.

"I deployed my first Django app with an AI chatbot in week 5. I didn't think that was possible 45 days ago."

— FLAMES '25 · Full Stack Track

"I went from not being able to solve a simple array problem to clearing the DSA round at my first placement attempt."

— FLAMES '25 · DSA Track

"I built a full dashboard from raw data and presented it like a data analyst. That's what got me my internship."

— FLAMES '25 · Analytics Track