EDUCATION & LEARNING TECHNOLOGIES

AI for Engineering &
Technology

Apply AI to design intelligent systems, automate processes, optimize performance and solve complex engineering challenges.

  • 6 Months
    Program
  • Live Classes &
    LMS Access
  • Hands-on
    Projects
  • Industry
    Certificate
Agricultural scientist analyzing crop data on a tablet in a green field

About This Program

The AI for Engineering & Technology program is designed for future-ready engineers and technologists who want to integrate AI into product development, automation, predictive systems and smart solutions. You will learn through AI-first thinking, real-world engineering datasets, simulations and industry-aligned projects.

24
Weeks
70
Video Lectures
5
Real-world Projects
0
Practical Learning

Who Should Enroll?

  • B.Tech, M.Tech, B.E., MCA, B.Sc (CS/IT/Electronics) students
  • Aspiring software engineers, data scientists and AI developers
  • Engineers who want to upskill in AI and emerging technologies
  • Anyone interested in applying AI to solve real-world engineering problems

Program Highlights

Industry-relevant AI skills

Hands-on projects

Expert faculty guidance

Capstone project for real-world readiness

Industry-recognized certification

Curriculum (24 Weeks)

View Detailed Curriculum

  • Introduction to AI in Education
  • Python for Engineering
  • Data Structures & Algorithms
  • Mathematics for AI
  • Data Handling & Visualization
  • AI Tools & Frameworks

  • Crop Disease Detection using Computer Vision
  • Yield Prediction Models
  • Precision Irrigation Systems
  • Livestock Monitoring with AI
  • Soil Health Analysis with ML
  • Agri-Drone Data Processing

  • Climate Modelling with AI
  • Biodiversity & Conservation Analytics
  • Resource Optimization Models
  • Sustainability Impact Assessment

  • Capstone Project Development
  • Final Presentation & Industry Review

What You'll Learn

Apply machine learning to real agricultural datasets
Use satellite & drone imagery for crop monitoring
Build yield & climate prediction models
Design precision irrigation & farming systems
Analyse soil health with computer vision
Deliver a capstone project with industry mentors

Hands-on Projects

Crop Disease Detection

Build a computer-vision model that identifies crop diseases from leaf images.

Yield Prediction Engine

Predict crop yield using historical weather and soil datasets.

Smart Irrigation System

Design an AI-driven irrigation scheduler that optimizes water usage.

Climate Risk Capstone

A full capstone project assessing climate risk for a chosen region.

Learn from Industry Experts

View All Faculty

What Our Learners Say

4.8

(612 Reviews)

“Excellent program! The sessions on precision farming and remote sensing were extremely practical.”

– Kiran Patil, M.Sc Agriculture Student

“Hands-on projects helped me apply AI models to real agricultural problems.”

– Anjali Deshmukh, Agriculture Professional

“Great learning experience with expert faculty and industry-relevant content.”

– Rahul Mehta, Agri-tech Entrepreneur

Frequently Asked Questions

No. The program starts with the fundamentals of AI and Python, so learners from agriculture, environmental science and related backgrounds can follow along comfortably.

Yes, every live class is recorded and made available on the LMS along with mobile access, so you can revisit lessons anytime.

Yes, the IAIR certificate is recognized by industry and academic partners and is awarded on successful completion of the capstone project.

You'll have access to faculty office hours, a dedicated program advisor, peer discussion forums and mentor-reviewed assignments and capstone check-ins.
Target Streams: B.Com, M.Com, CA (Foundation/Intermediate), CMA aspirants