Learn AI by shipping real products: build AI apps, engineer reliable systems, architect scalable platforms. 3 standalone expert-led levels with live builds, projects and capstone.
Each level has its own day-by-day plan, two mini projects and a capstone. Start where you are and move up when you’re ready.
From Problem to AI-Powered App
Build practical AI applications with LLMs, embeddings, RAG, agents, vision and voice.
Regular fee ₹40,000 + GST · Student price with a valid college ID
From Prototype to Production-Grade AI
Engineer reliable AI with advanced RAG, fine-tuning, agents, evaluation, security and cost control.
Regular fee ₹45,000 + GST · Student price with a valid college ID
From Single System to Enterprise AI Platform
Design secure, observable AI platforms with routing, gateways, governance and scale economics.
Regular fee ₹50,000 + GST · Student price with a valid college ID
| Compare | Level 1 · Build | Level 2 · Engineer | Level 3 · Architect |
|---|---|---|---|
| You’ll ask | How do I use AI to solve a problem? | How do I make AI reliable and measurable? | How do I design AI products and platforms at scale? |
| Shift | From Problem to AI-Powered App | From Prototype to Production-Grade AI | From Single System to Enterprise AI Platform |
| Career direction | AI Builder: LLM apps, RAG, agents, multimodal | AI Engineer: advanced RAG, adaptation, evaluation, security, observability, cost | AI Architect: serving, routing, gateways, agent platforms, governance, scale |
| Duration | 40 days | 40 days | 40 days |
| Fee | Student Fee: ₹30,000 + GSTRegular Fee: ₹40,000 + GST | Student Fee: ₹35,000 + GSTRegular Fee: ₹45,000 + GST | Student Fee: ₹40,000 + GSTRegular Fee: ₹50,000 + GST |
Answer 10 quick questions and get an instant score, a topic-by-topic breakdown and a recommended level.
“Build a chatbot that answers from our course PDFs and cites its sources.”
“Here is our RAG pipeline, eval set and latency budget. Add reranking without breaking the tests, and show the metric change.”
“Here is our platform architecture, traffic and cost per request. Find the bottlenecks, compare routing options and propose the lowest-risk change.”
Students use AI to accelerate implementation, but must understand important generated code/configuration, inspect outputs, test changes, identify failures and justify decisions.
Your mentor has spent 15+ years architecting enterprise infrastructure and now builds agentic AI for autonomous operations, so your guidance is grounded in real engineering decisions, trade-offs and production experience.
15+ years of experience architecting scalable, secure and automated infrastructure platforms. Specialized in virtualization, cloud automation and agentic AI to drive autonomous operations at enterprise scale.
No. The three AI Engineering levels are independent, standalone programs. Completing a lower level isn’t mandatory. Take the Self-Assessment to see where you fit best.
Each level runs for 40 days.
Every level includes two mini projects and a market-oriented capstone. Mini projects start with an extended introduction followed by two independent studio build days; the capstone gets a dedicated production and planning day, and you return for a review after one week.
Each session follows the same studio pattern: story → problem framing → concept → AI use → live build → analyze → experiment → streamline → viva + recap.
Yes. Every level has a lower student fee for learners with a valid college ID. Level 1: ₹30,000 for students (regular ₹40,000); Level 2: ₹35,000 for students (regular ₹45,000); Level 3: ₹40,000 for students (regular ₹50,000). All fees are exclusive of GST.
