B.Tech in AI Systems Design

The B.Tech. in Computer Science & Engineering with Specialization in AI Systems Design is a pioneering four-year undergraduate program created to prepare students for the rapidly evolving world of artificial intelligence, digital engineering, and data-driven technologies. Powered by Amphiventures, the program blends strong academic foundations in computer science with deep practical expertise in artificial intelligence systems, enabling students to understand not just how technologies work, but how they are designed, built, and deployed at scale.

Students are immersed in an environment that emphasizes hands-on learning, real-world engineering challenges, industry collaboration, and technology-driven innovation, ensuring they graduate with both conceptual clarity and practical capability.

Program Structure

The academic design of the program reflects a strong emphasis on practical competence and real-world readiness.

Learning Structure:

• Year 1–3: On-campus learning with integrated labs, projects, and skill modules
• Year 4: Paid industry internship with minimum stipend of INR 20,000 per month

Curriculum Composition:

• 30% Academic foundation aligned with university and regulatory standards
• 70% Skill-based learning focused on applied engineering and practical problem solving

Learning Methodology:

• Hands-on engineering cloud-labs and technology platforms
• Industry-aligned projects and challenges
• Peer learning and collaborative engineering environments
• Continuous evaluation and formative assessments through practical work and applied problem solving

The program integrates technology platforms that support coding labs, real-time evaluations, analytics-based learning insights, and employability readiness tracking.

Learning Outcomes

Graduates of the program will emerge as future-ready engineers capable of designing and implementing intelligent technological systems.

By the end of the program, students will be able to:

• Develop Advanced Technical Expertise: Build strong foundations in computer science while gaining specialized knowledge in artificial intelligence systems and digital engineering.
• Design Intelligent Systems: Understand how to design, develop, and deploy AI- enabled systems that solve real-world technological challenges.
• Solve Complex Engineering Problems: Apply computational thinking, analytical reasoning, and engineering methodologies to complex real-world problems.
• Build Industry-Ready Skills: Develop practical engineering experience through projects, internships, and applied technology labs.
• Collaborate in Modern Engineering Environments: Work effectively in team- based engineering environments, communicating ideas clearly and contributing to collaborative innovation.
• Lead Technology Innovation: Develop the mindset and capabilities required to innovate, adapt, and lead in the rapidly evolving global technology landscape.