Welcome to Lamrin Tech Skills University Punjab

B. Tech. Computer Science Engineering (Agentic AI)

B.Tech Computer Science Engineering (Agentic AI)

In collaboration with

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Program Overview

The B.Tech in Computer Science Engineering (Agentic AI) is a future-focused undergraduate program designed to prepare students for the rapidly evolving world of Artificial Intelligence, Cloud Computing, and Intelligent Automation. No prior programming experience needed. Starts from scratch with strong coding foundations from Year 1. Offered by the University School of Engineering Technology (USET), Lamrin Tech Skills University Punjab, in collaboration with Microsoft and powered by ByteXL, the program combines strong computer science fundamentals with cutting-edge AI technologies and industry-driven learning.
The program follows a unique 3+1 model, where students undergo three years of immersive on-campus learning followed by one year of industry-oriented On Job Deployment (OJD)/On Job Training (OJT). Students gain practical exposure through real-world projects, AI tools, industry workshops, research-driven learning, and globally recognized Microsoft Azure certifications.
Graduates of this program will be equipped to build intelligent AI systems, develop next- generation applications, and pursue high-impact careers in the global AI ecosystem.


Program Highlights

  • Industry Relevant Curriculum: Comprehensive curriculum integrating core computer science, Artificial Intelligence, Cloud Computing, Machine Learning, and Agentic AI technologies aligned with current industry requirements.

  • Hands– On Learning: Practical exposure through AI labs, hackathons, coding challenges, innovation projects, and real-world applications.

  • Expert Faculty Industry Mentors:Learn from experienced academicians, AI practitioners, and industry experts through workshops, seminars, and mentorship sessions..

  • Microsoft Azure Certifications: Access to globally recognized Microsoft Azure certifications validating industry-ready skills.

  • Next-Generation AI Technologies: Exposure to emerging technologies such as Large Language Models (LLMs), RAG Vector Databases, Agentic AI, Voice Agents, and Federated Learning.

  • Industry-Collaborated Research: Research-driven learning across Computer Vision, Natural Language Processing (NLP), Speech Recognition, Deep Learning, and Reinforcement Learning.

  • Coding Problem-Solving Challenges: Strengthen analytical and programming skills through coding competitions and AI problem-solving sessions. Career Launch Support: Internship opportunities with industry partners along with placement assistance and career guidance.

  • Industry Networking Exposure: Interaction with AI startups, enterprises, and technology leaders through meetups and industry sessions.


Exclusive Microsoft Azure Certifications

Students may gain opportunities to prepare for globally recognized certifications.

Azure Fundamentals (AZ-900)
Azure Data Fundamentals (DP-900)
Azure AI Fundamentals (AI-901)
Azure SQL AI Developer Associate (DP-800)
Azure AI Cloud Developer (AI-200)
Azure AI App and Agent Developer (AI-103)
Azure MLOps Engineer (AI-300)
Note: Certifications may vary as per updates and revisions by Microsoft.

Eligibility Criteria

  • Students with a minimum of 60% marks in Class XII (Non-Medical).
  • Minimum 60 percentile in JEE/CUET/LTSU/EXAM
  • Admission for foreign students as per UGC guidelines.

Course Duration

4 Years

(3 Years Academic + 1 Year Industry Training)

Course Structure

First Year

Foundation courses with industry-based training and exposure to AI technologies.

Second Year

Specialized learning in AI, Cloud, Full Stack Development, and emerging technologies.

Third Year

Advanced AI applications, research projects, coding challenges, and industry-integrated learning.

Fourth Year

On Job Deployment (OJD) / On Job Training (OJT) with industry-focused skill development and real-world implementation.

Course Structure

Admission Process

01

Online Registration

02

Entrance Examination / Eligibility Screening

03

Personal Interview (PI) – Online or On Campus

04

Fee Submission Seat Allocation with Provisional Admission Letter

05

Final Seat Confirmation after document verification and semester fee submission



Key Sectors Offering Career Prospects

Artificial Intelligence Machine Learning
Cloud Computing AI Services
Software Development IT Services
Data Science Analytics
AI Research Innovation
Healthcare Technology
FinTech Banking Automation
E-Commerce Digital Platforms
Smart Automation Robotics
AI Startups Product-Based Companies

Job Profiles

AI/ML Engineer
Agentic AI Engineer
AI Research Scientist
Cloud AI Engineer
Prompt Engineer
Data Scientist
Data Analyst
AI Application Developer
AI Consultant
Software Engineer