B.Tech Artificial Intelligence & Machine Learning
Collaboration with IBM
Programme Overview
The B.Tech. AI-ML and Data Science programme, offered in collaboration with IBM, is designed to prepare students for the rapidly evolving world of Artificial Intelligence, Machine Learning, and Data Analytics. The programme combines strong theoretical foundations with practical, industry-oriented learning to develop future-ready technology professionals. Students gain hands-on experience in AI applications, predictive analytics, deep learning, cloud computing, big data technologies, and intelligent decision-making systems. Through IBM-supported learning resources, industry projects, expert mentoring, and certification opportunities, students acquire the skills required to solve real-world challenges and drive innovation across various industries. The curriculum is aligned with current industry demands, ensuring graduates are equipped for successful careers in emerging technology domains.🏛 Academic & Infrastructure Excellence
- AI & ML curriculum aligned with industry and emerging technologies
- IBM Integrated Learning Framework
- NVIDIA Powered AI & Accelerated Computing Lab
- High-Performance GPU Computing Infrastructure
- Smart Classrooms and Digital Learning Ecosystem
- Modern Computing Facilities with Advanced Software Tools
- Innovation, Research and Development Environment
- Access to AI, Machine Learning, Deep Learning and Cloud Platforms
🤝 Industry-Relevant Learning
- IBM Industry Integrated Programme
- Curriculum designed with industry requirements in mind
- Exposure to Cloud Computing, DevOps, Generative AI and Data Analytics
- Real-world problem-solving through case studies and projects
- Industry certifications and digital badges
- Guest lectures from industry experts and technology leaders
- Hackathons, coding competitions and innovation challenges
- Industry-oriented project-based learning
👨🏫 Expert Faculty
- Experienced faculty with strong academic and research backgrounds
- Mentoring by IBM experts and industry professionals
- Outcome-Based Education (OBE) methodology
- Interactive and application-focused teaching approach
- Continuous assessment and skill development
- Research-oriented learning environment
- Personalized academic mentoring and guidance
💼 Career Readiness
- Hands-on training in AI, ML, Deep Learning and Data Science
- Real-time industry projects and case studies
- Internship opportunities with industry partners
- Training on Python, TensorFlow, PyTorch and AI frameworks
- Exposure to Computer Vision, NLP and Generative AI
- Industry-ready skill development workshops
- Mini and Major Project Development
- Career-focused technical training
🌍 Global Expert Engagement
- IBM Global Learning Resources
- Industry Expert Sessions and Masterclasses
- National and International Webinars
- Interaction with technology leaders and researchers
- Exposure to global trends in Artificial Intelligence
- International collaborative learning opportunities
- Professional networking and knowledge-sharing platforms
🚀 Holistic Development
- Leadership and Entrepreneurship Development
- Innovation and Startup Support Ecosystem
- Technical Clubs and Professional Societies
- Communication and Soft Skill Development
- Cultural, Sports and Extracurricular Activities
- Teamwork and Problem-Solving Skills Enhancement
- Personality Development Programmes
🎯 Placement Support
- Dedicated Training and Placement Cell
- Placement Preparation and Mock Interviews
- Resume Building and Career Counseling
- Industry Internship Support
- Corporate Interaction Programmes
- Placement Opportunities in Leading IT and Technology Companies
- Support for Higher Studies, Research and Startups
- Strong Alumni and Industry Network
🖥️ Advanced Laboratories
- NVIDIA AI & Accelerated Computing Lab
- Artificial Intelligence Laboratory
- Machine Learning Laboratory
- Deep Learning & Computer Vision Laboratory
- Cloud Computing & DevOps Laboratory
- Data Science & Analytics Laboratory
- IoT and Robotics Laboratory
- Advanced Programming & Software Development Laboratory
- Cyber Security Laboratory
- Innovation & Project Development Centre
- Must have passed Class 12 (10+2) with Physics and Mathematics as compulsory subjects from a recognized board.
- Minimum 45% aggregate marks (40% for SC/ST candidates).
- Admission through GUJCET / JEE Main or as per Admission Committee for Professional Courses / State Government guidelines.
- Admission Information
Programme
B.Tech Artificial Intelligence & Machine Learning
Duration
4 Years
Intake
90 Seats
Annual Fees
Rs. 85,000* + 30000
(Industry training Fee)
Mode of Admission
As per ACPC / University Norms
Degree Awarded<
Bachelor of Technology (B.Tech.)
Meet Our Distinguished Faculty
Our experienced faculty members bring together academic rigor, research expertise, and industry insights to prepare students for successful careers in the rapidly evolving world of technology. ✨
- Programme Curriculum
Semester 1
- Mathematical Programming
- Engineering Chemistry
- Programming for Problem Solving
- Communicative English
- Life Sciences
- Basic Electrical Engineering
- Programming for Problem Solving Lab
- Engineering Chemistry Lab
Program Educational Objectives (PEOs)
- PEO1: Be an efficient Software Developer in diverse fields and become a successful professional and/or pursue higher studies.
- PEO2: Adapt advanced state-of-the-art computing technologies for professional excellence, research, and lifelong learning.
- PEO3: Work productively with ethical values and professional integrity for the betterment of society.
- PEO4: Demonstrate leadership and entrepreneurial qualities while working effectively as a team member with strong communication skills.
Program Outcomes (POs)
- PO1: Engineering Knowledge – Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to solve complex engineering problems.
- PO2: Problem Analysis – Identify, formulate, review research literature, and analyze complex engineering problems using principles of mathematics, natural sciences, and engineering sciences.
- PO3: Design/Development of Solutions – Design solutions for complex engineering problems and develop systems or processes considering public health, safety, societal, cultural, and environmental factors.
- PO4: Conduct Investigations of Complex Problems – Use research-based knowledge and methods including experimentation, data analysis, interpretation, and synthesis to provide valid conclusions.
- PO5: Modern Tool Usage – Create, select, and apply modern engineering and IT tools, techniques, and resources for complex engineering activities while understanding their limitations.
- PO6: The Engineer and Society – Apply contextual knowledge to assess societal, legal, cultural, health, and safety responsibilities relevant to engineering practice.
- PO7: Environment and Sustainability – Understand the environmental and societal impact of engineering solutions and demonstrate the need for sustainable development.
- PO8: Ethics – Apply ethical principles and commit to professional ethics, responsibilities, and engineering standards.
- PO9: Individual and Team Work – Function effectively as an individual and as a member or leader in multidisciplinary teams.
- PO10: Communication – Communicate effectively through reports, presentations, documentation, and professional interactions with engineering communities and society.
- PO11: Project Management and Finance – Apply engineering and management principles to manage projects and work effectively in multidisciplinary environments.
- PO12: Life-Long Learning – Recognize the need for independent and continuous learning to adapt to technological advancements and professional growth.
Pragya AI Center of Excellence (CoE)
Empowering Innovation Through Artificial Intelligence, Research, and Industry-Oriented Learning
The Pragya AI Center of Excellence is dedicated to advancing knowledge, research, and practical applications of AI technologies. Through hands-on training, industry partnerships, and innovative projects, we prepare students to become future-ready professionals in the rapidly evolving world of Artificial Intelligence.