- You'll need minimum 1 year experience in software development, data engineering, or related technical roles, along with a basic understanding of software development concepts.
- No prior AI/ML experience required.
AI Engineering:
Development Certificate
Become the engineer who can turn complex ideas into working AI systems—multi-agent, multimodal, and deployment-ready.
A project-based Certification built in collaboration with AI Leaders from and
What You'll Achieve
On program completion, you will be able to build predictive engines, recommenders, generative models and multi-agent systems to solve real business problems.
Skills You Will Gain
Tools & Technologies
Program Overview
Structured Program
4 Master's level AI courses in 5 months
Zero Exams. 100% Projects.
You graduate with a portfolio of 4 production-grade projects.
The Ideal Learner
Software/ DevOps/ Data Engineers & Tech Leads with 2-10 years of experience.
Built for Working Professionals
Self-paced content + Live hands-on workshops.

Simple, Transparent Pricing
₹9,999/month
(5 easy monthly installments)
AI Development Certificate
4 Enterprise-Grade Portfolio Projects
Access to Industry Workshops
Total Program Fee: ₹49,995
Your Learning Journey
This program has no exams. Your learning is 100% project-based. You will build, deploy, and ship 4 enterprise-grade applications that become your new professional portfolio.
AI Dev Certificate
Build core AI intelligence for modern applications
Each Course = 5 Weeks
Build a Smart Browser Extension from concept to deployment.
Feb 2 - Mar 8Create a Multi-Agent Software Development Team using AI Agents
Mar 16 - Apr 19Develop a Hybrid E-commerce Discovery Engine for personalized recommendations
Apr 27 - May 31Build a Multi-Modal Product Risk Analyzer combining vision & language models
Jun 8 - Jul 12Build a Multi-Modal Product Risk Analyzer combining vision & language models
Jun 8 - Jul 12Develop a Hybrid E-commerce Discovery Engine for personalized recommendations
Apr 27 - May 31Program Advisors
Crafted with guidance from Microsoft and Google leaders who are defining the next era of AI engineering.

Eduardo Kassner
Chief Data & AI Officer
Customer Success Data & AI team
Leading the Data, Analytics and AI Cloud Architect Team for the Software and Digital Platform organization in Microsoft.
Specializes in:

Tomas Pfister
Head of AI Research
Google Cloud
Leader for Google Cloud AI Research, a team of researchers and software engineers working on tackling the most valuable research problems for Google Cloud customers.
Specializes in:
Delivery & Support
Portfolio-driven assessment — every project becomes a public GitHub repository that accelerates your career trajectory.
Self-Paced, Guided Learning
Get 24/7 access to high-quality Video lectures, Interactive Labs, and personalized AI-guided learning.
Live Learning & Workshops
Live hands-on workshops with industry experts and masterclasses.
24/7 Support System
Instant AI Tutor available 24/7, Project Pods (4-5 peers), and expert faculty office hours.
Upskill Your Engineering Teams
Equip your developers to build production-grade AI systems — from predictive models and recommenders to generative and multi-agent applications — through a hands-on, outcomes-driven program.
Why Organizations Choose This Program:
Project-based learning aligned with real business use cases
Move teams from experimentation to production
Minimal disruption with flexible learning
Frequently Asked Questions
Yes. The program is built for working professionals.
You get:
- Self-paced core content available 24/7 that includes high-quality video lectures , Interactive labs and personalized AI-powered learning sessions
- Live Hands-on Workshops with well known industry experts.
Expect to dedicate 6-10 hours per week for lectures, labs, and building projects.
You will build 4 enterprise-grade AI products, each resulting in a public GitHub portfolio.
Projects cover:
- Smart Browser Extension (AI-assisted development)
- Multi-Agent Software Development Team
- Hybrid Ecommerce Recommendation Engine
- Multi-Modal Product Risk Analyzer
These projects reflect real industry needs and demonstrate applied AI engineering skills that companies value.
You get three layers of support:
- 24/7 AI Tutor for instant debugging and guidance
- Project Pod for Peer-to-Peer collaboration
- Faculty support during live Q&A sessions
Refund policy: