About This Program
Learn how AI is revolutionizing engineering and technology. Build future-ready skills with hands-on learning, real-world projects, and industry expert mentorship.
What Will You Experience
Real-World Engineering Problems
Solve real-world engineering problems.
Industry Case Studies
Learn from successful AI implementations in industry.
Hands-on Learning
Apply concepts in every module through practical exercises & projects.
Mentorship
Learn from industry experts and get personalized guidance.
Collaborative Learning
Work in teams, build innovative engineering solutions together.
Who Should Enroll?
Students pursuing:
What You’ll Graduate With
Portfolio
Projects
Toolkit
& Case Studies
Project
Certification
Skills
Your AI Learning Journey (26 Weeks)
AI Foundation
Core AI concepts
for engineers
AI for Engineering Applications
Apply AI in core
engineering domains
AI Tools
& Technologies
Tools, platforms
& frameworks for AI
Real-World
Implementation
Build, test & deploy
AI-powered solutions
Capstone &
Career Readiness
Industry project &
professional certification
Module-wise Curriculum (26 Weeks)
View Detailed Curriculum- Introduction to AI
- History of AI
- Machine Learning Fundamentals
- Deep Learning Fundamentals
- Data & AI
- Prompt Engineering
- Generative AI
- ChatGPT & Large Language Models
- AI Productivity Tools
- AI Agents & Automation
- Responsible AI
- AI Security & Project Development
- Applied Machine Learning
- Deep Learning in Practice
- Computer Vision
- Natural Language Processing
- Generative AI for Developers
- AI System Design
- MLOps Fundamentals
- AI on Cloud Platforms
- AI Security & Adversarial AI
- Edge AI & Embedded Intelligence
- AI Product Development
- Capstone Project
- Career Readiness
- Industry Mock Interview
Hands-on Projects (Build. Apply. Impact.)
AI-Powered Engineering
Research & Literature
Review
1
AI-Assisted
Product Design &
Technical Documentation
2
Engineering Data
Analysis & Performance
Dashboard
3
AI for Predictive
Maintenance & Quality
Inspection (Concept Solution)
4
AI Engineering
Workflow Automation
5
AI Engineering
Knowledge Assistant
6
an Engineering Challenge