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A practical path from Python and machine-learning foundations to building, evaluating and deploying applications powered by large language models. This program teaches you to build software that uses AI models. Choose Advanced for LLM and RAG applications or Advanced Plus to add deep learning, transformers, fine-tuning, agentic orchestration and LLMOps.
Learn to build software that uses LLMs: APIs, embeddings, retrieval, tool calling and agents.
Ingest documents, retrieve, ground answers with citations and measure retrieval and answer quality.
Python, data and ML basics, plus clear teaching on LLM limits, hallucinations, bias and evaluation.
Cost tracking, latency, guardrails and risk assessment are part of the build, not an afterthought.
We teach modern, high-velocity developer tooling used by Tier-1 product companies and autonomous AI engineering teams.
No hidden fees. All tuition includes live classes, 1-on-1 GitHub PR code reviews, cloud sandboxes, and verified certification.
16 Weeks (235+ Live Interactive Hours)
No-Cost EMI from ₹5,000/mo
28 Weeks (355+ Live Interactive Hours)
No-Cost EMI from ₹5,889/mo
See how our 6-Month Advanced Plus track deepens your engineering skills with distributed caching, Dockerization, automated CI/CD, and FAANG-style interview loops.
| Engineering Feature & Capability | Advanced | Advanced Plus ★ |
|---|---|---|
| Cohort DurationTotal calendar learning commitment | 16 Weeks (4 Months) | 28 Weeks (7 Months) |
| Live Interactive HoursDirect mentor session hours | 235+ Live Hours | 355+ Live Hours |
| Curriculum ScopeModules & structured lesson volume | Modules 1–9 (107 Lessons) | All 16 Modules (169 Lessons) |
| Hands-On Projects & CapstonesProduction portfolio proof-of-work | 4 Projects & 1 Capstone | 8 Projects & 2 Capstones |
| Redis Caching & Background QueuesHigh-throughput systems & BullMQ | Deep Dive | |
| Docker, Compose & CI/CD PipelinesAutomated GitHub Actions deployments | Production Ready | |
| Autonomous AI Coding AgentsClaude, Cursor & Antigravity workflows | Foundations | Multi-File Agentic Sprints |
| 1:1 Senior Mentor GitHub PR ReviewsPersonalized line-by-line feedback | 9 PR Reviews | 16 PR Reviews + Architect Loop |
| FAANG Mock Technical Interview LoopSystem design & machine coding rounds | 1 Mock Session | 3–5 Comprehensive Rounds |
| Live Capstone DefenseDefend architecture before Tech Directors | Written Evaluation | Live Defense Session |
Everything provided inside your cohort to bridge the gap between academic theory and high-agency engineering competence.
Engineered from scratch around Silicon Valley and Tier-1 tech standards. Zero outdated fluff or superficial syntax tutorials.
Full HD session recordings, indexed architectural blueprints, strict GitHub starter boilerplates, and searchable class transcripts.
100% live interactive cohorts hosted on Saturdays and Sundays so working professionals and college students can attend without conflicts.
Build and deploy an enterprise-grade, multi-user product to the public cloud with real PostgreSQL persistence, caching, and CI/CD.
Weekly machine-coding challenges, algorithmic optimization drills, and strict clean-code refactoring assignments.
12+ production-level Pull Requests submitted directly on GitHub with mandatory 1-on-1 line-by-line review from senior mentors.
Dedicated weekly Subject Matter Expert office hours plus 24/7 Discord community support to unblock technical hurdles fast.
Earn an industry-recognized, verifiable certificate with an authenticated QR credential hash, dual-accredited in the UK and India.
1-on-1 ATS resume engineering, GitHub portfolio restructuring, and rigorous FAANG-style machine coding and system design mock loops.
Direct, asynchronous communication channel with the lead engineering mentors and academic delivery team for personalized guidance.
No toy to-do apps. You will build, test, and deploy production-grade software that proves your engineering capability on GitHub.
Clean and explore a real dataset, document data-quality decisions and publish a Kaggle profile with your notebook.
Build and evaluate a small ML model and show clearly how it compares with a baseline.
Build a small LLM feature with structured output and document its constraints and known failure cases.
Build a RAG knowledge assistant with a retrieval-quality test set and a basic deployed interface, with latency and token-cost tracking.
Our mentors write production code daily. You receive direct guidance, feedback, and architecture critiques from senior engineers.
Machine Learning & GenAI Engineer
AI company (sample)
Sample profile. Builds and teaches machine-learning and LLM applications. Replace with the real mentor bio.
AI Engineer & Career Mentor
AI consultancy (sample)
Sample profile. Works on LLM-powered products and runs mock interviews and portfolio reviews. Replace with the real mentor bio.
Backend & Cloud Engineer
SaaS company (sample)
Sample profile. Focuses on API design, databases, containers and cloud deployment. Replace with the real mentor bio.
This is to officially certify that
has successfully completed the intensive cohort program in
Innovacio AI Labs credentials represent true proof-of-work. They are verifiable online via unique cryptographically signed hashes and recognized by hiring managers.
Attend live interactive cohort lectures on weekends and participate in Q&A sessions.
Submit all milestone pull requests with code approved by your senior mentor reviewer.
Deploy a live, working application to cloud infrastructure and defend your engineering decisions.
Everything you need to know about the program structure, live sessions, reviews, and tuition support.