AI-First Cyber Security & Cloud Computing
Learn AI. Build AI. Become AI-Ready.
Specialization:
Learn by Building
Future-proof curriculum with Cloud Computing and Cyber Security fundamentals integrated from day one, focusing on real-world infrastructure and security systems.
Industry Led Innovation
Advanced labs supporting cloud infrastructure, cybersecurity simulations, ethical hacking practice, and startup innovation with funding support.
Cloud & Security First Approach
Every semester is built around cloud platforms (AWS/Azure), network security, DevSecOps, and real-world deployment projects.
70% Hands-on Learning
Practical training from Day 1 with cloud deployment, security tools, penetration testing basics, and real system configurations.
250+ Hiring Partners
Strong placement network across top companies hiring for roles in Cloud Engineering, Cyber Security, DevOps, and IT infrastructure.
Why Choose Career Point University?
AI First B.Tech Program in collaboration with UGC/AICTE approved campuses
Future-Ready Curriculum
Every course integrates Cloud Computing and Cyber Security fundamentals from semester one, focusing on real-world infrastructure, security systems, and modern IT practices.
Coding & Systems from Day One
No theory overload. 70% hands-on learning with cloud platforms, security tools, networking concepts, and industry-standard practices from the start.
Learn from Industry Experts
Learn from professionals working at top companies like Google, Microsoft, and Amazon with real experience in cloud and security systems.
Tech-Enabled Campus
Smart classrooms, 24/7 coding & security labs, high-speed internet, and infrastructure designed for cloud and cybersecurity training.
Career Launch Ecosystem
250+ hiring partners, resume workshops, mock interviews, and continuous placement support from year one.
Industry-Focused Peer Learning
Collaborate with motivated students, participate in hackathons, and work on cloud security and infrastructure projects.
4-Year Journey
The Curriculum
8 semesters of hands-on learning. Designed by AI researchers. Updated annually.
Cyber Security & Cloud Foundations
Building future-ready professionals with strong foundations in cloud infrastructure, cybersecurity, networking, and system design.
- Fundamentals of Computer Science
- Programming Foundations (Python / C)
- Computer Networks Basics
- Introduction to Cyber Security
- Mathematics for Computing
- Linux & System Fundamentals
- Data Structures & Algorithms
- Operating Systems
- Cloud Computing Fundamentals (AWS/Azure Basics)
- Web Development Basics
- Database Management Systems
- Cyber Security Essentials
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
Building Secure Cloud Systems
Design and deploy secure, scalable cloud infrastructure and protect systems from real-world cyber threats.
- Operating Systems & System Security
- Network Security Fundamentals
- Cloud Computing (AWS/Azure Basics)
- DSA – Advanced
- DevOps Basics (CI/CD, Git, Containers)
- Mini-MBA (Tech + IT Business Basics)
- Advanced Cloud Computing & Virtualization
- Cyber Security & Ethical Hacking Basics
- Cloud Security & Identity Management
- DevSecOps & Automation
- Secure System Design & Deployment
- Product & Infrastructure Management
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
Scalable Cloud & Secure Systems
Design and manage secure cloud infrastructures capable of handling large-scale applications and protecting critical data.
- Cloud deployment
- Network security
- System administration
- Cyber security practices
- Cloud Architecture & Deployment (AWS/Azure)
- Cyber Security & Ethical Hacking Fundamentals
- DevOps & CI/CD Pipelines
- Network & System Security
- Cloud Security & Risk Management
- Industry Externship
Year 3 Outcomes
Distributed systems
System design case studies
CI/CD pipeline for ML system
GenAI application (LLM / RAG)
Technical design documents
Architecture documents
Cloud & Cyber Security Systems
Build secure, scalable, and intelligent digital infrastructure for the future.
- Cloud Architecture & Deployment
- Advanced Cyber Security & Threat Analysis
- DevSecOps & Secure CI/CD Pipelines
- Elective E1: Cloud Security OR Ethical Hacking
- Advanced Cloud Infrastructure & Scaling
- Security Operations & Risk Management
- Elective E2: Network Security OR Cloud Automation
- Final Capstone: Secure Cloud-Based Application / System Deployment
Year 4 Outcomes
AI capstone project
Applied RL agent project
Robotics or CUDA project
Entrepreneurship Project
Admission Process
How to join
Eligibility
Class 10+2 with PCM and 50%+ marks. Admission via CPUEST and personal interview. Top 20–25% of applicants are selected.
Register & Apply Online
Submit application with 10+2 marksheet and PCM details.
Appear for CPUEST
Career Point Scholastic Aptitude Test — Maths, English & Aptitude. Online and on-campus at Kota.
Personal Interview
Faculty panel interview — tests problem-solving ability and passion for building with technology.
Counselling & Seat Confirmation
One-on-one counselling session. Submit documents and confirm your seat with the confirmation fee.
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 Cyber Security & Cloud Computing students?
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
Plan your next step with confidence
Connect with our Admission Counsellor to:
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.
- Mathematics (Class 11–12 level)
- Physics (Class 11–12 level)
- Chemistry (Class 11–12 level)
- Applications Open: March 2026
- Application Deadline: 27 March 2026
- CPUEST Date: 28 March 2026
- Personal Interviews: Shortly after CPUEST results
- Batch Begins: July 2026
- Step 1 — Register & Apply Online: Submit your application with 10+2 marksheet and PCM details.
- Step 2 — Appear for CPUEST: Take the aptitude test online or at campus (Maths, Chemistry, Physics).
- Step 3 — Personal Interview: Faculty panel interview testing problem-solving ability and passion for technology.
- Step 4 — Counselling & Seat Confirmation: One-on-one session to submit documents and confirm your seat.
- UGC Recognised — valid for all government and private sector roles
- AICTE Approved — the national regulator for technical education
- NAAC Accredited — quality-accredited university