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AI & Generative AI · Career Track

Generative AI Engineering

Ship production LLM systems — RAG, agents, evals, and inference at scale.

Duration

11 months

Format

Hybrid

Fee

₹3,25,000

Next start

Next cohort: 14 September 2026

Curriculum

A 11 months arc, term by term.

  1. Term 1 · Foundations (10 weeks)

    Engineering for AI

    • Modern Python & typing
    • Linear algebra you actually need
    • Probability & statistics
    • Data engineering with Polars/DuckDB
  2. Term 2 · Core (12 weeks)

    LLMs in practice

    • Transformer internals
    • Prompting & structured outputs
    • RAG architectures
    • Vector stores & retrieval evals
  3. Term 3 · Systems (10 weeks)

    Production AI systems

    • Agents & tool use
    • Observability for LLMs
    • Cost & latency engineering
    • Safety, red-teaming, governance
  4. Term 4 · Capstone (12 weeks)

    Enterprise capstone

    • Live brief from a hiring partner
    • Architecture review
    • Production deployment
    • Industry jury defense
Eligibility

Who this program is for

  • Bachelor's degree in any engineering, science, or quantitative discipline
  • Working knowledge of Python (functions, classes, virtualenvs)
  • Minimum 50% in undergraduate (relaxed for working professionals)
  • Conversational English proficiency
Fees & financing

Transparent pricing

Total fee
₹3,25,000
EMI from
₹9,800/mo
Scholarships
Up to 60% via HAT
Check scholarship eligibility
Outcomes

What you'll be able to do.

  • Build and deploy multi-agent RAG systems on production infrastructure
  • Run rigorous LLM evaluations (offline + online) with measurable guardrails
  • Fine-tune and serve open-weight models with cost-aware inference
  • Lead AI projects end-to-end: problem framing, architecture, rollout, governance
Faculty

Practitioners, not lecturers.

Dr. Anika Rao

Program Director

Former staff ML engineer with 12 years across applied research and production AI at global SaaS companies.

Vikram Iyer

Lead Faculty — Systems

Builds large-scale inference platforms; mentors HIGAET cohorts on serving and observability.

Priya Menon

Industry Mentor

Head of AI at a fintech unicorn; reviews capstone projects and runs mock interviews.

Apply

Start your application.

Share a few details and a HIGAET advisor will reach out within one business day with next steps.

FAQ

Common questions

Ready to join Generative AI Engineering?

Next cohort: 14 September 2026