# Flagship track

AI Engineering

Build, fine-tune, and ship real AI systems — from RAG pipelines to production models.

Duration
6-month program + 3-month internship
Format
Hybrid · 20 hrs/week live + labs
Next cohort
March 3, 2026
See curriculum 8 of 30 seats left

Join 5,000+ students who found their dream job · 100+ developer-trainers · 200+ industry mentors

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# AI Engineering

In 6 months you'll have shipped a live LLM product to real users — followed by a 3-month internship.

Job placement

94%

Starting salary range

₹12–22 LPA

Hiring partners / support

2,500+

AI-powered learning platform

Self-paced modules blended with expert mentorship for a personalised, job-ready path.

Industry-driven curriculum

Designed with working tech experts — live projects, hands-on labs, real case studies.

Internship & placement support

Career coaching, profile reviews, and exclusive openings with hiring partners.

What's included

Guaranteed 5+ interviews on graduation

1:1 mentor through the programme and internship

Real capstone deployed to production

GPU credits + full lab access

# Honest filter

Is this the right room for you?

We'd rather you self-select out now than three months in.

# Perfect if
  • Engineers who can already write clean Python and want to move into AI product work.
  • Analysts and researchers ready to trade notebooks for shipped systems.
  • Career switchers who've done a bootcamp and want depth, not another sampler.
# Not for you if
  • You want a 6-week AI overview — this programme assumes you'll work 20 hrs/week for 6 months, then complete the internship.
  • You're looking for a purely theoretical ML degree with papers as the final output.

# Courses

Every course inside AI Engineering.

The full module list for this track only — expand any course to see its week-by-week lesson plan.

Courses

6

Lesson modules

31+

Guided hours

374 hrs

# Curriculum

How the 6-month program flows.

Four phases, each ending in something you can show.

Start

Week 1 — you can call an LLM API and print the response.

Finish

Week 36 — you've shipped a RAG-backed product, fine-tuned a model, and been on-call for it.

  1. Phase 01

    Foundations

    Weeks 1–6

    • Python for ML
    • Linear algebra refresher
    • Data engineering with pandas
    • Modern PyTorch
  2. Phase 02

    Core ML

    Weeks 7–16

    • Classical models end-to-end
    • Deep learning fundamentals
    • Model evaluation & MLOps
    • Weights & Biases workflows
  3. Phase 03

    Applied AI

    Weeks 17–28

    • Transformers from scratch
    • RAG pipelines with vector DBs
    • Fine-tuning LLMs (LoRA/QLoRA)
    • Agentic systems & tools
  4. Phase 04

    Capstone + Internship

    Weeks 25–36

    • 3-month paid internship
    • Production deployment
    • Portfolio review
    • Interview prep sprints

Stack you'll master

PyTorchHugging FaceLangChainLangGraphOpenAIvLLMFastAPIAWS SageMakerPineconeChromaWeights & BiasesRedis

# What you'll ship

Real projects. Real users. Real receipts.

Project 01

Legal-doc RAG assistant

Ingests 10k+ contracts, answers with citations, streaming UI.

LangChain · Pinecone · FastAPI

Project 02

Fine-tuned support agent

LoRA-tuned Mistral for a fintech's ticket triage — 3× faster resolutions.

PyTorch · HF · vLLM

Project 03

Multi-agent research crew

Planner + browser + coder agents that draft market briefs unattended.

LangGraph · OpenAI · Redis

# Where graduates go

Cohort '25 placed into teams like these.

RazorpaySwiggyFreshworksMeeshoCredPostmanZerodhaPhonePe

Hiring partners on record. Exact placements vary by cohort and role fit.

# Pricing

One fee. No surprises.

Standard programme fee

₹3,00,000

The full fee before the current enrolment offer.

50% OFF

Limited offer fee

₹1,49,999

You save ₹1,50,001

Offer valid till 31 August

✓ Includes internship placement

✓ 12-month placement support

✓ All exam vouchers and cloud credits

✓ EMI from ₹6,250/mo for 24 months

# FAQ

Answers to the real questions.

# Other flagship tracks

Compare the other paths.

Flagship track

Cloud Engineering

Design, deploy, and operate cloud-native systems that scale to millions.

View program

Flagship track

Software Engineering

Become a full-stack engineer who ships product — not just tutorials.

View program

AI Engineering · Current fee ₹1,49,999Pay in EMI