Summer Internship
with
Program 2026
Classroom theory ends here. Build real AI projects, work with production-grade tools, and walk out with a portfolio that speaks at interviews — in 1 or 2 months.
ATS Resume + Mock Interviews
B2B Internal Placement Network
12 In-Depth Modules
30% Theory · 70% Live Practice
About the Program
Not just training
A career head-start
This program is built for CSE, IT, ECE, BCA, and MCA students who want more than a certificate. The curriculum was put together with AI faculty who work in the field — not just teach from it.
You pick a track that fits your summer. One month if you want intensity. Two months if you want depth. Both tracks cover the same five modules — the difference is how far you go inside each one.
1-Month Intensive
Fast-paced. Project-driven. Zero padding
- All 5 modules at accelerated pace
- Weekly milestones and lab sessions
- 1 capstone project presentation
- Best for students with a tight summer window
Duration
4 Weeks
2-Month Comprehensive
In-depth. Research-oriented. Built for depth.
- Extended lab time for each module
- Research projects + advanced exploration
- Seminar + guest lecture from industry experts
- Dual Certification
Duration
8 Weeks
Curriculum
5 modules
Built for the real job market
Every module runs in both tracks. Track B goes deeper into each one.
Basics of Artificial Intelligence
Module 01
- AI history — rule-based systems to deep learning
- Agents, search algorithms, knowledge representation
- Python for AI — NumPy, pandas, visualisation
- Ethics in AI: bias, fairness, responsible deployment
Basics of Artificial Intelligence
Module 02
- Supervised, unsupervised, reinforcement learning
- Linear Regression, Decision Trees, SVM, K-Means, Neural Nets
- Hands-on with scikit-learn, TensorFlow, Keras
- Build, train, and deploy a real classification model
Automation with AI
Module 03
- RPA vs AI-driven automation — what's the difference
- Workflow automation with Python and AI APIs
- Web scraping, data pipelines, automated reports
- Lab: automate a full business process end-to-end
Codex & AI-Assisted Development
Module 04
- Large language models and code generation (Codex, Copilot)
- Prompt engineering for developers
- AI in software testing — auto-generating unit tests
- Build a mini-app accelerated by Codex
Antigravity Technology & Future Frontiers
Module 05
- Advanced propulsion, field manipulation, theoretical physics
- AI's role in Antigravity simulations and predictive modelling
- Interdisciplinary: materials science + computation
- Seminar + guest lecture from a domain expert
60+ Tools Covered
Every Tool You'll Use
As a Professional.
Hands-on practice in every session. You graduate knowing how to use every tool professionally — not just what they’re called.
Why This Program
What makes this different
from a generic course
Upon completing all 17 modules and the capstone, you will be able to deliver a full 360-degree digital marketing service independently.
AI Faculty with Real-World Experience
Your mentors have worked in AI projects outside academia. They know what the industry actually tests for — and they teach that.
Small Batches. Personal Attention.
Limited seats mean your questions get answered. You don't get lost in a crowd of 200 students watching slides.
Certificate Recognised by Industry Partners
The certificate carries weight at campus placements because it's backed by specific project outcomes, not just attendance hours.
Networking with Professionals
Guest lectures and seminars connect you with people working in AI right now. These conversations don't happen in classrooms.
Who Can Apply
This program is for you
if you're in one of these
Open to graduate and undergraduate students from engineering and computer science backgrounds:
B.Tech – CS / IT / ECE
BCA
MCA
FAQ
Questions Before You Enrol.
Is this program on-campus or online?
It is fully on-campus at our Lucknow institute. Lab sessions, mentorship, and project work all happen in person. This is not a pre-recorded video course.
Do I need prior AI or ML knowledge?
No. Module 1 starts from the ground up — history of AI, basic concepts, Python setup. You need only basic programming comfort. The program is designed for students just entering the AI space.
What is the difference between Track A and Track B?
Both tracks cover the same 5 modules. Track A (1 month) moves at an accelerated pace — ideal if you want to maximise learning in a tight time window. Track B (2 months) gives you extended lab time, deeper research projects, and more time with each module. The certificate and capstone project apply to both.
What will I have at the end of the program?
You will have an industry certificate, a completed capstone project with code hosted on GitHub, and practical experience with tools like TensorFlow, n8n, Codex, and Python. These are things you can show at a placement interview — not just list on a CV.
How many seats are available?
Seats are deliberately limited to keep batch sizes small. This ensures each student gets direct mentorship time. Once seats fill, the batch closes. Apply early if you want in.
Is the certificate recognised?
Yes. The certificate is recognised by our industry partners and has been accepted by students at campus placements and for higher education applications. It is backed by specific project outcomes, not just attendance.