Students must have passed 10+2 with Physics and Mathematics as compulsory subjects along with Chemistry/Computer Science, with minimum required marks as per university norms.
AI-FirstB.Tech CS (AI & ML)
Learn AI. Build AI. Become AI-Ready.
Duration4 Years
DegreeB.Tech • CS with AI & ML
CampusKota, Rajasthan
Other Specializations:
Learn by Building
Future-proof curriculum with AI & Machine Learning integrated from Day 1, focusing on real-world problem solving.
Industry Led Innovation
Access advanced labs and innovation ecosystem with support for AI-driven projects, research, and startup ideas.
AI-First Curriculum
Every semester is built around real AI tools, APIs, and ML frameworks like TensorFlow, OpenAI, and more.
70% Practical Learning
Hands-on coding from Day 1 with real datasets, models, and industry-standard tools - no theory overload.
250+ Hiring Partners
Strong placement network with top tech companies hiring for AI, ML, and data-driven roles.
Why Choose Career Point University?
AI First B.Tech Program in collaboration with UGC/AICTE approved campuses
01
AI-First Curriculum
AI-First Curriculum
Every course integrates Artificial Intelligence & Machine Learning concepts from semester one, enabling students to build real-world AI-powered solutions.
02
Coding from Day One
Coding from Day One
No theory overload. 70% hands-on coding using real datasets, ML models, and industry-standard tools from the beginning.
03
Learn from Industry Experts
Learn from Industry Experts
Gain insights from professionals working at top companies like Google, Microsoft, and Amazon - bringing real-world experience into the classroom.
04
Tech-Enabled Campus
Tech-Enabled Campus
AI-powered smart classrooms, 24/7 coding labs, high-speed internet, and innovation spaces designed for future technologists.
05
Career Launch Ecosystem
Career Launch Ecosystem
250+ hiring partners, resume-building sessions, mock interviews, and continuous placement support from year one.
01
Selective Peer Learning Environment
Selective Peer Learning Environment
Collaborate with ambitious, like-minded students, participate in hackathons, and grow in a competitive AI-driven ecosystem.
4-Year Journey
The Curriculum
8 semesters of hands-on learning. Designed by AI researchers. Updated annually.
1
AI Foundations
Building future AI experts from first principles. Exploring the math, code, and thinking behind an AI-first world.
1*
Paid Internship
1
Externship
8
Projects
Semester 1
- Mathematical Thinking for AI & Computer Science
- Programming Foundations for AI Builders | Python
- Internet, Cloud & DevOps Foundations for AI Products
- Linear Algebra for AI
- Product Thinking for AI Startups I: Design Thinking
Semester 2+Externship
- Components of a Full Stack AI Product
- Data Structures & Algorithms in Competitive Mode
- Probability, Stats & Calculus for AI
- OOPS & Clean Coding
- C Programming for Systems Engineering
- Mini-MBA 2 | Product, Market & GTM
- Externship 1
Year 1 Outcomes
Python mini projects
Personal static website
ML project with EDA & baseline models
Product go-to-market brief
GitHub profile with structured commits
OOP-based software application
React-based AI product frontend
2
Building AI Products
Turn ideas into real AI-powered products. Learn to build what the AI industry actually ships.
1*
Paid Internship
2
Externship
8
Projects
Semester 3+Externship
- Operating Systems: AI & HPC Perspective
- Storage, Indexing & DB Transactions for AI
- Classical Machine Learning
- DSA – Advanced
- Mini-MBA 3 | Finance & Unit Economics
- Externship 2
Semester 4+Externship
- Computer Networks: Communication Across Scalable AI
- AI Engineering: LLM-Based Systems
- Building Scalable AI Products: Full Stack Design
- Systems Programming for Low Latency Systems
- Product Management for AI I: Zero-to-One
- Externship 3
Year 2 Outcomes
Backend service with REST APIs
Database-driven application
Vector search prototype
Advanced ML project
Data pipeline & ETL project
RAG system
Deep learning model training
3
Scaling AI Systems
Designing robust AI systems for millions of users and massive data.
1
Paid Internship
1
Externship
6
Projects
Semester 5+Internship
Industry Internship / Research Project
Full semester dedicated to real-world experience at partner companies or research institutions.
Semester 6+Externship
- Machine Learning Engineering
- Data Engineering for Robust AI Systems
- Deep Learning Systems
- Product Management for AI II: Metrics
- Mini-MBA 4: Operations & Org-Design
- Externship 4
Year 3 Outcomes
Distributed systems
System design case studies
CI/CD pipeline for ML system
GenAI application (LLM / RAG)
Technical design documents
Architecture documents
4
Autonomous AI & Future Systems
From intelligence to autonomy. Where AI learns to think, act, and adapt.
1
Paid Internship
1
Capstone
4
Projects
Semester 7Capstone
- Computer Architecture for AI & Robotics
- Building an LLM from Scratch
- Mini-MBA 5: AI Law, Ethics, Venture Deals
- Elective E1: RL & Agents OR Robotics Engineering
Semester 8Capstone+Internship
- Elective E2: Advanced Gen AI OR Optimization
- Self-Driven Capstone | AI Product Build & Demo
Year 4 Outcomes
AI capstone project
Applied RL agent project
Robotics or CUDA project
Entrepreneurship Project
CPU also offers following specialisation in AI & ML
1
Full Stack Development & Cloud Computing
From browser to server to cloud. Build, deploy and scale production-grade applications.
2
Cyber Security & Cloud Computing
Defend, detect, respond. Secure systems at every layer — from network to cloud infrastructure.
3
CSE Core
Build strong foundations. Master the fundamentals that every great computer scientist must know.
Core Industry Certificate Courses
Master the most in-demand professional certifications directly from our global technology partners to fast-track your career success.
Red Hat Certification
Prepare for global certifications in Linux Administration and OpenShift through the Red Hat Academy Ready Partner 2026 program at Career Point University.
AWS Certification
Get certified as a Cloud Practitioner or Solutions Architect. Learn to design and deploy secure, robust applications on the world's leading cloud platform.
Oracle Certification
Achieve Oracle Certified Professional status. Master SQL, Java, and Database Management systems that power the world's most critical enterprise data.
Meet the Board of Advisors
An accomplished panel of entrepreneurs and AI practitioners with deep industry experience. They bridge the gap between academia and real-world technology, ensuring our students learn what truly matters.
Davis Zhu
AI Advisor Associated with KPMG USA
Pramod Maheshwari
B.Tech., IIT Delhi | OPM, Harvard Business School, Harvard University, USA | Founder-Career Point Group
Puneet Sharma
B.Tech., IIT Delhi, Ph.D., University of Southern California, USA, HPE Fellow & VP – Hewlett Packard Enterprise
Vidushi Maheshwari
BS & MS in Computer Science, Georgia Tech | Software Engineers at Google
Abhishek Soni
B.Tech + M.Tech, IIT Delhi | Co-Founder & CEO, Upwards | Times 40U40
Shailendra Upadhyay
B.Tech + M.Tech, IIT(BHU) Varanasi | AI Engineer at IBM
Avinash Raju
BE, University of Illinois Urbana-Champaign USA | AI and Tech Advisory at KPMG
Placement Ecosystem
Your career journey starts from Day 1 — not in the final year
Semester Assessments
Regular evaluations every semester to track your technical growth.
Coding Profile Tracking
We monitor your LeetCode & Codeforces to ensure consistent practice.
GitHub Project Tracking
Your projects are tracked on GitHub to build a recruiter-ready profile.
MAANG Ready
DSA bootcamps, mock interviews, and resume building workshops.
CPU Curated vs Traditional College Experience
Why is CPU Curated experience better for AI & ML students?
Career Point University
Other Colleges
Internships & Jobs
Programme designed to make you AI & ML internship-ready by Year 2, backed by 250+ hiring partners in data-driven industries.
Less than 25% students get internships by their 3rd year.
AI & ML Learning Ecosystem
Hands-on learning with Machine Learning models, Deep Learning frameworks, Python, TensorFlow, and real datasets from Semester 1.
AI/ML introduced late as theory-based electives with limited practical exposure.
Career Preparation
ML project building, Kaggle-style datasets, coding practice, and mock interviews from Year 1.
Placement preparation usually starts in final years.
Projects & Portfolio
Build AI/ML portfolio projects including prediction systems, NLP apps, and computer vision models deployed on GitHub.
1–2 academic projects with no real deployment or ML implementation.
Faculties & Curriculum
Industry-aligned AI & ML curriculum guided by experts from companies like Google and Amazon with focus on real-world AI applications.
Outdated curriculum with limited AI/ML industry relevance.
Learning Approach
Start building AI models and working with datasets from Day 1.
Practical AI/ML exposure begins in final years.
Entrepreneurship & Innovation
₹1 Cr startup support, AI hackathons, innovation labs, and mentorship for AI-based product building.
Limited funding and innovation ecosystem.
Industry Exposure
Regular interaction with AI researchers, data scientists, and startup founders.
Industry exposure limited to top students only.
Admission Process
How to join
Eligibility
Direct Admission if JEE Main %tile> 75% or 12th PCM/B>60% else through Aptitude Test
01
Register & Apply Online
Submit application with 10+2 marksheet PCM/PCB OR JEE Main details.
02
Direct Admission
If eligible for Direct admission then deposit registration fee Else go to the next step
03
Appear for CPU Apptitude Test
Aptitude Test - Maths & Aptitude. Online Or on-campus.
04
Counselling & Seat Confirmation
One-on-one counselling. Submit documents and confirm your seat with the confirmation fee.
Plan your next step with confidence
Connect with our Admission Counsellor to:
Understand the admission process step by step
Explore scholarships — up to 100% tuition waiver
Discover if CPU is the right fit for your goals
Learn about our AI & Machine Learning-focused B.Tech curriculum, tools, and career opportunities
Or call us directly at:
+91-9079134713
Frequently Asked Questions
Everything you need to know about CPU's AI-First B.Tech before you take the next step.
Q.1. What is the eligibility for B.Tech AI & ML at Career Point University, Kota?
Q.2. Is entrance exam mandatory for admission?
Admission can be based on national/state-level entrance exams (like JEE) or merit-based as per university guidelines.
Q.3. What is the duration of the course?
The B.Tech in AI & ML is a 4-year undergraduate program divided into 8 semesters.
Q.4. Can diploma students apply for lateral entry?
Yes, diploma holders in relevant engineering streams can apply for direct admission into the 2nd year (lateral entry).