Page 20 - Institute Prospectus_2026.cdr

Employability Enhancement Program (EEP)

Bridging Academics with Industry Readiness

FOR ENGINEERING PROGRAMS
A. Technical Skill Development Module 10: Software Engineering & Full Stack Development
Module 1: Foundations of Computer Science • MERN / MEAN Stack
• Programming Essentials (C, Python, Java) • Microservices Architecture
• Data Structures & Algorithms • API Development
• Operating Systems & Computer Networks • Agile & Scrum
• Database Management Systems • Capstone Project
• Version Control (Git/GitHub) Outcome: Equips students with end-to-end software development
• Problem-Solving for Competitive Coding skills. Prepares them for full-stack engineering, DevOps, and
Outcome: Strong foundational knowledge for advanced product development roles.
technologies.
_______________________________________________________ B. Industry Integration & Experiential Learning
Emerging Technology Training Modules Module 11: Industry Connect
The following flagship modules focus on GenAI, Agentic AI, • Expert Talks & Masterclasses
Blockchain, Cloud, IoT, Physical AI, and other emerging • Industry Mentorship
technologies. Outcome: Provides exposure to industry practices through expert
Module 2: Generative AI (GenAI) Training interactions and mentorship
Outcome: Enables students to build and deploy Generative AI Module 12: Internship & Project Support
applications. Supports optimization of AI models for real-world use • 6-8 week internships
cases. • Industry-sponsored capstone projects
_______________________________________________________ • Research paper guidance
Module 3: Agentic AI (Autonomous AI Systems) • Startup incubation support
Outcome: Develops the ability to design autonomous AI systems. Outcome: Provides real-world exposure through industry-driven
Enables execution of complex, multi-step intelligent tasks. learning. Enhances practical skills, innovation, and career
_______________________________________________________ readiness.
Module 4: Blockchain & Web3 Technologies
Outcome: Builds skills in developing decentralized applications C. Placement Preparation
and systems. Prepares students for roles in Web3, fintech, and Module 13: Placement Preparation
digital ecosystems. • Mock Interviews (Technical & HR)
_______________________________________________________ • Company-Specific Training
Module 5: Cloud Computing & DevOps • Portfolio & GitHub Review
Outcome: Equips students to deploy and manage applications on Outcome: Strengthens technical and interview performance.
cloud platforms. Prepares them for DevOps and scalable system Prepares students for recruitment in leading technology
engineering roles. companies.
_______________________________________________________
Module 6: Internet of Things (IoT) & Edge Computing D. Certification Pathways (For B.Tech Programs)
Outcome: Enables development of smart, connected IoT systems. • AWS / Microsoft Azure / Google Cloud
Supports integration of AI with real-time edge computing • Microsoft AI Fundamentals
solutions. • Certified Blockchain Developer
_______________________________________________________ • Cisco CyberOps
Module 7: Physical AI & Robotics • TensorFlow Developer Certificate
Outcome: Provides exposure to AI-driven robotics and automation Outcome: Builds industry-aligned technical expertise. Enhances
systems. Develops understanding of intelligent hardware and real- employability with globally recognized certifications.
world applications. _______________________________________________________
_______________________________________________________ Project-Based Learning on Emerging Trends in Computer
Module 8: Cybersecurity & Ethical Hacking Science
Outcome: Builds expertise in security operations, penetration Thematic Areas for Projects
testing, and threat analysis. Prepares students for roles in • Artificial Intelligence & Machine Learning
cybersecurity, digital forensics, and risk management. • Blockchain & Web3
_______________________________________________________ • Cloud Computing & DevOps
Module 9: Data Science & Analytics • Internet of Things (IoT) & Edge AI
Outcome: Develops skills in data analysis, machine learning, and • Cybersecurity
visualization. Enables data-driven decision-making and business • Data Science & Analytics
intelligence applications. Outcome: Enables hands-on learning through real-world projects
in emerging technologies.

15