Practical AI training for developers, engineers and IT teams — from coding copilots and prompt engineering to shipping and operating production ML.
From the first line of code to production monitoring, AI now touches every stage of engineering. Developers who use it well ship more, with fewer defects, and free their time for design and architecture.
This program is built with senior engineers so every concept maps to real delivery work — whether you build web apps, data platforms or developer tooling. Comfort with one programming language is recommended; deep ML maths is not required.
AI is not about hype — it is about giving your team better evidence, more time and earlier signals.
Copilots and AI code review compress the time from idea to merged, tested code.
AI-assisted testing and review surface bugs and security issues earlier.
LLM features and agents open product capabilities that were impractical before.
AI review assistants triage diffs and flag risk so humans focus on design.
Generate tests and edge cases to harden critical paths quickly.
AI keeps docs and onboarding material in sync with the codebase.
MLOps practice makes model and feature releases repeatable and observable.
Govern prompts, secrets and data so AI tooling does not leak or break things.
Measure where AI tooling actually moves delivery and cost metrics.
Eight modules that move from AI literacy to deploying a governed, sector-specific AI solution.
How modern models work and where they fit in the SDLC.
Getting reliable, reviewable output from AI coding tools.
Calling APIs, structuring prompts, handling context and cost.
Designing agents that act safely against real systems.
Generating tests and evaluating AI system behaviour.
Versioning, serving, monitoring and rolling back models.
Secrets, data boundaries, prompt-injection and responsible use.
Design, build and deploy an end-to-end AI capability.
An assistant that reviews pull requests and flags risk.
A working AI feature integrated into a sample app.
A deploy-and-monitor pipeline for a model.
An evaluation harness measuring quality and safety.
9 weeks · approx. 6 hrs/week · self-paced on demand or live instructor-led cohorts · lifetime access to recordings and updates.
or 3 interest-free instalments of ₹5,333
Razorpay & Stripe secure checkout · 7-day money-back guarantee
Yes — comfort with at least one programming language is recommended. You do not need machine-learning or maths experience.
Examples are mainly in Python and TypeScript, but the concepts apply to any stack.
Each certificate carries a unique ID and QR code linking to a public verification page, and can be added to LinkedIn in one click.
Yes — corporate cohorts include custom scheduling, a skills dashboard and volume pricing.
We offer a 7-day money-back guarantee from the date of enrollment.
Custom cohorts, sector-aligned content and a skills dashboard for teams of 20 to 20,000.
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