B.Tech CSE (Generative AI) with Xebia & Microsoft at IILM University, Gurugram

The B.Tech in Computer Science and Engineering with a specialization in Generative AI is a forward-looking program offered in collaboration with Xebia and Microsoft. This specialization goes beyond traditional AI to focus on models that can create new content—ranging from text and images to code and synthetic data.
By integrating Microsoft Azure AI Services and Xebia’s industry-proven engineering practices, students learn to build and deploy Large Language Models (LLMs), diffusion models, and advanced transformer architectures.

B.Tech CSE (Generative AI) – Course Details

Duration: 4 Years (8 Semesters)
University: IILM University, Gurugram
Industry Partners: Xebia & Microsoft
Eligibility:
- Minimum 50% marks (45% for SC/ST) in 10+2 with Physics and Mathematics.
- Admission is based on JEE Main, CUET, or the University Entrance Test.

The curriculum transitions from core computer science to specialized generative modeling and MLOps (Machine Learning Operations).

Year	Core Computer Science	Gen-AI Specialization	Industry Specific (Xebia/Microsoft)
1st Year	Programming (C/Python), Math	Introduction to AI & ML	Azure AI Fundamentals (AI-900)
2nd Year	Data Structures, Java, OS	Neural Networks & Deep Learning	Xebia Agile AI Development
3rd Year	Algorithms, Computer Vision	Natural Language Processing (NLP)	Azure AI Engineer Associate Labs
4th Year	Software Engineering	Generative Models (LLMs, GANs)	Capstone Project (Gen-AI App)

As Generative AI continues to disrupt industries, graduates are prepared for high-value roles in product development and AI research.

Generative AI Engineer: Design and fine-tune models like GPT, Llama, and Stable Diffusion.
Prompt Engineer: Optimize inputs for LLMs to ensure high-quality, safe, and accurate outputs.
AI Solutions Architect: Integrate generative capabilities into existing enterprise software.
NLP Specialist: Build advanced translation, summarization, and conversational agents.
Machine Learning Ops (MLOps) Engineer: Manage the deployment and scaling of heavy AI models on the cloud.

Tech Giants: Microsoft, Google (DeepMind), OpenAI, Meta.
Specialized AI Labs: Xebia AI, Hugging Face, Anthropic.
Creative Industries: Marketing agencies, Gaming studios, Design firms.
FinTech & SaaS: Automation of customer support and automated code generation.

Cutting-Edge Curriculum: Focuses on the latest trends like RAG (Retrieval-Augmented Generation) and Fine-tuning of open-source models.
Microsoft Azure AI Integration: Direct access to Azure OpenAI services, providing the same tools used by industry leaders.
Xebia Global Expertise: Learn "Engineering Excellence" in AI from consultants who build Gen-AI solutions for global brands.
Hands-on Lab Focus: Move from theory to building your own AI agents, chatbots, and image generators in high-performance labs.
Future-Proof Career: Generative AI is the fastest-growing sector in tech, ensuring a high demand for skilled engineers.

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