Understand AI properly. In four weeks.
Most explanations of AI are either a marketing deck or a maths lecture. This is neither. Four weeks, in the evenings, taught by engineers who ship AI systems rather than people who read about them. You leave understanding what is happening inside the tools you already use, and having built and shipped a working AI app of your own.
- Duration
- 4 weeks · around 24 hours
- Mode
- Live online — real sessions, not recordings
- Timing
- Evenings, designed around a full-time job
- Cohort size
- 30–40
- Recordings
- Every session recorded, yours to keep
- Cohort 1 starts
- 12 October 2026
Who this is for
- Anyone using AI tools daily who wants to know what is actually happening underneath
- Career-switchers deciding whether AI engineering is a direction worth taking
- Founders, managers and product people who need to make real decisions about AI
- Designers, marketers, analysts and operations people whose work is being reshaped by this
- Students and recent graduates who want a foundation that is not just prompt tips
Working engineers who already run models locally and want GPU depth — Applied AI Engineering is the right program for you, and this material is compressed into its first two weeks.
Prerequisites
- None.
No maths background, no degree, no prior AI experience. If you can use a spreadsheet and install an app, you can take this program. A little Python helps in week 4 but is not required — the build session is guided and you start from working code.
Modules
4 modules · register to see what is inside each one
What these models actually are
Covered in detail after registration
The landscape, and how to choose
Covered in detail after registration
Making models do useful work
Covered in detail after registration
Build and ship
Covered in detail after registration
What you walk away with
- A working AI application, deployed and shareable
- A genuine mental model of how these systems work, not a vocabulary list
- Your own evaluation of where AI helps in your work and where it does not
- Every session recording, and the course materials
- Codnov Certificate of Completion, with a unique ID and a public verification link
Sample projects
- A question-answering assistant over your own documents or notes
- An email or message triage tool that sorts, summarises and drafts replies
- A meeting-notes summariser that extracts decisions and action items
- An image-classification tool for a specific, narrow task
- A research assistant that reads a set of sources and answers questions with citations
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.