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Admissions open. Online ₹1,999+ · Office ₹15,999+
tectranz
L1Flagship track

AI Engineering & LLM Systems

Build the system around the model: retrieval, evaluation, guardrails and deployment.

Apply for this trackSee fees
Duration
4 to 12 weeks
Modes
Online · Hybrid · In-office
Credits
2 to 4 (college decides)
Fees
₹1,999 – ₹29,999
Overview

What this track is about

Most AI courses stop at calling an API. This track teaches the engineering that decides whether an AI feature works in production: what to ground in your own data, what to measure, where a human signs off, and what it costs per request. You finish with a deployed system and the written decisions behind it.

Who it's for

  • CSE, IT, AI/ML and Data Science students in 4.1 or 4.2
  • Graduates who can write Python and want to move into AI roles
  • Developers who have built a chatbot demo and want to take one to production

You should know

  • Comfortable writing Python functions and classes
  • Basic Git and command line
Curriculum

Four phases, one system

Shown for the 12-week plans. The 4 and 8-week plans cover the first phases in less depth and finish with a smaller project.

Tools you'll use

  • Python
  • FastAPI
  • Claude & OpenAI APIs
  • LangGraph
  • pgvector
  • Docker
  • GitHub Actions
  • Langfuse
  1. 01

    Architecture

    Weeks 1–3
    • How foundation models work, and when you don't need one
    • Model selection, routing and fallbacks
    • Context engineering and structured (JSON-schema) outputs
    • Written architecture review of your assigned problem
  2. 02

    Construction

    Weeks 4–6
    • Document ingestion, chunking and hybrid search
    • Retrieval-augmented generation with source citations
    • Tool calling and simple agent loops
    • APIs, auth and background jobs around the model
  3. 03

    Assurance

    Weeks 7–9
    • Golden datasets and automated evaluation
    • LLM-as-judge scoring and regression tests
    • Prompt-injection threat modelling and guardrails
    • Failure handling: retries, timeouts, graceful degradation
  4. 04

    Operation

    Weeks 10–12
    • Containers, secrets and CI/CD
    • Tracing, token and latency dashboards
    • Cost per task and caching
    • Final technical review and viva
The stack

Five layers you'll be able to explain in an interview

Five layers of an AI system, stacked from intelligence at the bottom to production at the top.0102030405
  1. 05
    Production

    Deploy, monitor and keep cost per task under control.

  2. 04
    Trust & control

    Security, guardrails and the points where a human signs off.

  3. 03
    Quality

    Test datasets, scoring and regression checks on every change.

  4. 02
    Reasoning & action

    Agents and workflows that plan, call tools and recover from errors.

  5. 01
    Intelligence

    Pick, route and prompt models. Get structured output back.

Partner projects

The kind of work you'll ship

Example briefs. Your actual project depends on the partner company assigned to your cohort.

PROJECT 01

Policy Q&A assistant

Answers staff questions from a partner's policy PDFs, cites the exact clause, and refuses when the answer isn't in the documents.

PROJECT 02

Support ticket triage

Classifies and routes incoming tickets, drafts replies for human approval, and reports accuracy against a labelled test set.

PROJECT 03

Evaluation harness

A regression suite that scores every prompt or model change before it reaches users.

What you walk away with

  • A deployed AI system with a public demo link
  • An evaluation report with datasets, metrics and pass thresholds
  • An architecture decision record you can walk an interviewer through
  • A cost and latency profile per request

Roles this prepares you for

  • AI Engineer
  • LLM Application Developer
  • ML Platform Intern
  • Backend Engineer (AI)

We prepare you for these roles and refer strong performers to open positions at partner companies. We don't guarantee a job.

Fees

Plans for AI Engineering

Every plan includes the partner project and QR-verified certificates. Prices include GST.

Online

Starter

₹1,999
Incl. GST · one-time fee
Weeks
4
Hours
60
Credits
2

Best for: Students who want a first AI project and a verified internship certificate

  • Recorded lessons with weekly assignments
  • 2 live mentor sessions a week
  • 1 guided project from a partner company brief
  • Offer letter, activity logbook and weekly report templates
  • Training certificate + internship certificate with QR verification
  • Student community and doubt support on WhatsApp
Enrol for ₹1,999Talk to a counsellor first
Online

Professional

Fits a 4.1 semester
₹3,499
Incl. GST · one-time fee
Weeks
8
Hours
90
Credits
3

Best for: 4.1 students who need credits while attending college

  • Everything in Starter
  • Live cohort classes, 3 evenings a week
  • 2 projects, one on a partner company problem statement
  • Code review on every project submission
  • Fortnightly progress report signed by your mentor
  • Resume and LinkedIn profile review
Enrol for ₹3,499Talk to a counsellor first
Online

Industry

Maximum credits online
₹4,999
Incl. GST · one-time fee
Weeks
12
Hours
120
Credits
4

Best for: Students and job seekers who want a portfolio-grade AI system

  • Everything in Professional
  • Live partner project with a named reviewer from the company
  • 1:1 mentor review every fortnight
  • Architecture review and viva-voce preparation
  • 2 mock technical interviews
  • Letter of recommendation for top performers
  • Referrals to open roles at partner companies
Enrol for ₹4,999Talk to a counsellor first
FAQ

AI Engineering: common questions

Do I need prior AI experience for AI Engineering?

No. You need: comfortable writing python functions and classes; basic git and command line. The first phase covers the foundations, and mentors help anyone who falls behind.

Is the curriculum the same online and offline?

Yes. The syllabus and certificates are the same. Offline plans add office days with in-person reviews, team projects with partner engineers and more hands-on hours.

Which partner company will I work with?

It depends on the project brief that fits your level and interests. The company is named on your offer letter before the project phase starts.

What if I miss a live class?

Every live class is recorded. You need 80% attendance across live and office sessions to receive the certificate, and you can switch to a later cohort once for free.

Next step

Talk to a AI Engineering mentor

Tell us where you are in college and what you want to build. A counsellor calls you within one working day. No sales pressure: if a plan doesn't fit, we'll say so.

  • We check which plan fits your semester and college's credit rules
  • You get the syllabus, schedule and fee details on WhatsApp
  • You decide. Paying happens only when you're ready
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