Stop watching AI tutorials. Start training models.
Eight weeks on real GPU hardware. You will quantise a model, fine-tune one on your own dataset, build a retrieval system that actually retrieves the right thing, put an agent behind guardrails, and serve the result as a production API with monitoring and a cost model. This is the program that requires hardware, and hardware is the reason it is small.
- Duration
- 8 weeks · around 64 hours
- Mode
- Live online, plus a hands-on GPU lab
- Cohort size
- 15–20 — capped by GPU capacity, not by marketing
- Hardware
- Your own sandboxed environment on Codnov GPU infrastructure
- Recordings
- Every session recorded, yours to keep
- Cohort 1
- Opens 17 October 2026 · dates sent to registered interest
Who this is for
- Working software engineers adding AI to what they already build
- Final-year computer science students who want production skill, not coursework
- Backend and data engineers moving toward ML and AI systems
- Technical founders who intend to build the AI part themselves
- Anyone who has used an AI API and hit the wall where prompting stops being enough
Prerequisites
- Comfortable with Python — functions, classes, virtual environments, pip
- Comfortable on the command line — navigating a shell, running scripts, reading a stack trace
- Basic Git — clone, branch, commit, push
- Helpful but not required: any prior exposure to PyTorch, Docker, or calling an LLM API
We hold to these. The cohort is small, and one person starting from zero slows everyone. Not there yet? Take AI Foundations first — its material is compressed into weeks 1–2 here, so you will be on solid ground.
Modules
7 modules · register to see what is inside each one
Foundations, compressed, and models on your own machine
Covered in detail after registration
The GPU lab opens
Covered in detail after registration
Fine-tuning: your model, your data
Covered in detail after registration
RAG, properly
Covered in detail after registration
Agents, tools and guardrails
Covered in detail after registration
Serving, deploying and paying for it
Covered in detail after registration
The capstone
Covered in detail after registration
What you walk away with
- A deployed AI project, reviewed against a published rubric
- A model you fine-tuned yourself, with before-and-after evaluation
- A retrieval system with measured quality, not assumed quality
- Practical GPU skill: quantisation, VRAM budgeting, throughput and latency trade-offs
- A serving setup with monitoring and a cost model you understand
- Every session recording, all materials, and your starter repositories
- Codnov Certificate of Completion, with a unique ID and a public verification link
Sample projects
- A production knowledge assistant — RAG over a real document set, with retrieval evaluation
- A domain-tuned small model — fine-tuned for one narrow task, benchmarked against a general model
- A document-extraction pipeline — unstructured documents in, validated structured data out
- A voice agent — speech to text, a language model, text to speech, end to end
- A support triage system — classify, route, draft, and escalate when unsure
- A code-review assistant that reads a diff and comments usefully
- A multi-source research agent — plans, retrieves, synthesises, cites
- A self-hosted model serving stack — quantised, batched, monitored, with a cost model
Bring your own idea, or take one of these. Each comes with a prepared dataset and a starter repository — a project that is too ambitious is the most common reason people do not finish.
You finish with a deployed, reviewed AI project, or we re-run you free.
Requires minimum 75% attendance and on-time milestone submission. Full conditions at codnov.ai/training/terms.
Taught by Codnov engineers who build and run AI systems in production every day.
The fee for this course is confirmed per intake. Register your interest and we will send you the fee, the dates and the full schedule.
Nothing is paid on this website. Register your interest and we will confirm your seat with you directly.
Register your interest
We will come back to you with the full syllabus, the schedule, and whether there is a seat in the next cohort.
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.