Codnov.ai — Training

Learn to build AI.
On real hardware.

Codnov builds AI products that run in production — recruitment platforms, voice agents, document pipelines. These are the programs we built to teach how that is actually done.

Cohort 1 opens in October. This page takes enquiries only — no payment is collected here.

The courses

Every module has you building something in the session — not watching a slide about it. Every course ends with a project you have built, deployed and had reviewed by an engineer who does this for a living.

On enquiry

The LLM Course

Eight chapters on how language models actually work — and how to use, fine-tune and ship one yourself. Self-paced, with a live session per chapter.

8 chapters · work at your own pace

On enquiry

Claude at Work

Two weeks on using Claude properly — projects, documents, data, code and repeatable workflows. No coding background needed.

2 weeks · around 8 hours · no prerequisites

On enquiry

AI Foundations

What these models actually are, how they really work, and how to build something with them. No prerequisites.

4 weeks · around 24 hours · no prerequisites

On enquiry

Data Science & Machine Learning

Ten weeks from a raw, broken dataset to a trained model you deployed and can defend. Python, statistics, machine learning and five projects you keep.

10 weeks · around 50 hours

On enquiry

Applied AI Engineering

Eight weeks on real GPU hardware. Fine-tune your own model, build retrieval that works, deploy it and run it.

8 weeks · around 64 hours

Per batch

AI in Real World

A one-day workshop for colleges and teams — what these tools really do, where they fail, and what that means for the work in front of you.

One day · sessions from 2 to 6 hours · no prerequisites

On enquiry

Prompt Engineering

Three weeks on writing instructions that work — structure, evaluation, and running prompts in production without them quietly degrading.

3 weeks · around 12 hours

On enquiry

Build a Project From Scratch

Five weeks taking one idea from a blank repository to a deployed, working project — using AI as the pair, not the author.

5 weeks · around 20 hours

On enquiry

RAG — Retrieval-Augmented Generation

Four weeks on giving a model your own knowledge properly — chunking, retrieval, grounding, citations, and evaluating whether any of it worked.

4 weeks · around 16 hours

On enquiry

Introduction to AI Supercomputing

Four weeks on GPUs, accelerators and the machines AI runs on — what they do, how a job gets onto one, and what it costs.

4 weeks · around 16 hours

On enquiry

Corporate & College Batches

Custom AI training for companies and campuses — two-day primer to a full GPU engineering track, built around your stack.

2 days to 8 weeks, per contract

Not ready for four weeks? Build your first AI assistant is a three-hour live workshop on Saturday, 19 September 2026 — 25 seats.

What you leave with

A finished project, and proof of it

You finish with a deployed, reviewed AI project, or we re-run you free.

Not a job. Not a placement. Not an introduction to a hiring partner. A finished, working thing that you built and that runs.

What “completed” means

Your project is deployed and reachable, runs end to end, meets the published rubric for your track, and has been reviewed by a Codnov mentor.

What we need from you

Attend at least 75% of live sessions, and submit each milestone by its deadline. The guarantee depends on both.

If we fail to get you there

You repeat the next cohort free, with additional one-to-one mentor hours. If you still have not finished after that, we refund you pro rata.

The certificate

A Codnov Certificate of Completion, carrying a unique ID, the issue date, and a public verification link — evidence that you built and deployed a project a Codnov engineer reviewed.

What it is not

A degree or diploma. It is not recognised under the UGC Act, 1956 or the AICTE Act, 1987, and we make no claim of government approval, recognition or affiliation.

Taught by Codnov engineers who build and run AI systems in production every day. Requires minimum 75% attendance and on-time milestone submission. Full conditions at codnov.ai/training/terms.

Questions

You choose from our pre-scoped list, each with a prepared dataset and a starter repository. This is by design — a project that is too ambitious is the most common reason people do not finish.
Register your interest on this page. We will come back to you with the syllabus and the schedule, and confirm whether there is a seat in the next cohort. Payment is arranged with you directly once your place is confirmed — nothing is charged on this website.
Cohorts are small and we would rather talk to you first, especially for Applied AI Engineering, where we want to check the prerequisites genuinely fit before you commit. It saves both of us a refund.

Register your interest

Tell us which program you are looking at and we will come back to you with the full syllabus, the schedule, and confirm your seat in the next cohort.

No payment now — if it is a fit, we confirm your place with you directly.

  • Cohorts are small — Applied AI Engineering is capped at 15–20 seats by GPU capacity

  • We will tell you honestly if a program is the wrong fit

  • Open to participants aged 16 and above

No payment is taken on this website. Registering interest does not enrol you or commit you to anything.

Codnov Certificate of Completion. Not a degree or diploma recognised under the UGC Act, 1956 or the AICTE Act, 1987. All prices exclusive of 18% GST. Project completion guarantee subject to minimum 75% attendance and on-time milestone submission; full terms at codnov.ai/training/terms. Open to participants aged 16 and above.