| Course number : |
SI-2026-33 |
| Eligible students to participate : |
B.Tech. 1st/2nd/3rd year , MCA , IMCA-1st /2nd year , MSc DS |
| Prerequisites : |
Basic Programming Knowledge (Python preferred) • Basic understanding of mathematics (Matrices, Probability – optional but helpful) • Laptop mandatory |
| Resource person(s) : |
Akash Dash ( Industry Expert and Alumni)
|
| Duration of the Course : |
3 weeks – 100 hrs(Theory : 36hrs, Hands-on :24hrs, Project/assignment : 40hrs) |
| Course Outcome : |
• Understand fundamentals of Artificial Intelligence & Machine Learning
• Use AI tools to improve productivity in academics and projects
• Build real-world AI-powered mini applications
• Work with Generative AI models and APIs
• Apply AI in Engineering domains (CSE, ECE, Mechanical, Civil, etc.)
• Develop an industry-ready AI project
• Build portfolio projects for placements
|
| Course Content : |
- Module 1: Foundations of Artificial Intelligence
- Module 2: Python for AI
- Module 3: Machine Learning Basics
- Module 4: Generative AI & Modern AI Tools
- Module 5: Advanced AI Applications
- Module 6: Capstone Project
|
| Methodology of Course Delivery : |
- Online Live Class/Classroom Teaching ( Hybrid)
- Hands-on Lab practices
- Sharing of recording of each class
- Sharing of print/on-line materials (slide/videos/text) for referral study.
|
| Batch Size : |
50 |
| Course Fees : |
5,500.00/- |
| Residence Fee (optional) : |
0.00/- |