You. AI Engineer.
5 months or less.
Master Generative AI, Autonomous Agents, and Multimodal AI.
Build 4 production-grade applications. Designed for working professionals.
Program Advisors
Designed with AI Leaders from Microsoft and Google at the forefront of AI innovation
Leading the Data, Analytics and AI Cloud Architect Team for the Software and Digital Platform organization in Microsoft.
Leader for Google Cloud AI Research, a team of researchers focused on real-world impact & high-quality scientific publications.
4 Production-Grade Projects.
1 Portfolio Built for Modern AI Roles.
Project-based assessment. No exams.
The only AI program that lets you bring and build your own AI projects.
AI Prompt Engineering Platform
Build PromptLab, a production-grade, full-stack platform to design, version-control, test, and optimize LLM prompts at scale.
Autonomous Multi-Agent Dev Team
Build a fully autonomous team of specialized AI agents that collaboratively plans, codes, tests, debugs, and deploys production-ready code.
Hybrid E-commerce Discovery Engine
Build AI-powered recommendation system using collaborative filtering, vector search, and deep learning to deliver personalized experiences at scale.
Multimodal Food Intelligence Engine
Build an intelligent health ecosystem that analyzes meal images, retrieves nutrition knowledge, and generates hyper-personalized health insights.
Master the Modern AI Stack
Build production-grade AI systems using the same frameworks, workflows and tools used by top AI companies like:
Skills You Will Master
Every skill below maps directly to one of the four production-grade projects you'll build and ship.
GENERATIVE AI & LLM ENGINEERING
Prompt Engineering & Evaluation
Design, version, and systematically test prompts with automated eval pipelines
LLM Fine-Tuning
Adapt LLMs to custom domains efficiently using LoRA and QLoRA
Retrieval-Augmented Generation
Build RAG pipelines that ground model outputs in trusted knowledge
AGENTIC AI & AUTOMATION
Multi-Agent Systems
Orchestrate specialized agents that plan, code, and coordinate autonomously
Autonomous QA & Debugging
Engineer self-correcting pipelines that test, catch failures, and fix them
APPLIED ML & PERSONALIZATION
Modern Recommender Systems
Build hybrid engines fusing collaborative filtering and AI ranking at scale
Personalization & Ranking
Model user intent and rank results for Netflix/Amazon-grade discovery
Multi-Modal AI
Combine computer vision and language models into context-aware products
FULL-STACK & PRODUCTION
Full-Stack AI Development
Ship end-to-end AI apps with scalable backends and modern React frontends
MLOps & Experimentation
Deploy, monitor, and A/B test models in real-world production environments
Tools & Technologies
AI Coding AssistantsCursor
Github Copilot
Claude Code
LangChain
CrewAI
AutoGen
TensorFlow
LightFM
GitHub
Figma
Jira
ConfluenceYour Learning Journey
No Exams,100% Projects.
Add 4 production-grade projects to your portfolio
Bring your own project
Build real-world AI systems aligned to your goals
Learn on yourschedule, not ours
With personalized guidance from your instructors and success partner
Support that's always on.
A 24/7 support system and a global learners community
Learn from Industry Practitioners.
Hands-on Masterclasses from AI Experts
More than a Certificate
Credits that count toward your Master's degree
Invest in Yourself
Invest in Your Future
₹49,995 total • 5 monthly installments
14-day free trial from the program start date
Complete in 3 months? You only pay for 3 months
Cancel, pause or re-enter anytime
₹1,999 fully refundable during trial • credited to first installment if you continue
Real Developers. Real Results.
Working on hands-on multi-agent projects gave me practical exposure to building production-grade AI systems. From LangGraph workflows to tracing, cost optimization, caching, and testing, the experience felt highly relevant to real-world implementation and automation work.
The responsiveness and engagement throughout the program stood out to me. Whether through group discussions or direct interactions, the guidance was always prompt, helpful, and ensured a smooth learning experience from start to finish.
What stood out most was the balance between structured learning and practical implementation. The program made complex AI concepts easy to grasp, while the hands-on projects helped translate learning into skills that can be applied directly in enterprise environments.
Upskill Your Engineering Teams
Master predictive models, recommenders, generative and multi-agent applications
Minimal disruption with flexible learning
Move teams from experimentation to production
Project-based learning aligned with real business use cases
Launch your AI Career
A practical, project-based AI certification from a US-registered higher education institute
720,000+
Available AI Jobs
#1 Fastest-growing job category on LinkedIn in key global markets
56%
Salary Premium
Earned by AI-skilled engineers vs peers without AI fluency
100%
Project Based
Zero exams. Build a portfolio that proves your AI competency