Generative AI & LLMs
Build prompt workflows, retrieval pipelines, and GenAI-powered applications.
What students will build, practice, and understand
Generative AI & LLMs is a intermediate program under our AI & ML track. Students work through practical exercises, mentor-led labs, and deployment-style tasks so they leave with tangible confidence, clearer role alignment, and proof of execution.
What You Will Learn
Understand how LLM-powered systems are structured end to end.
Create prompt patterns and retrieval workflows for useful outputs.
Evaluate quality, grounding, and practical limitations.
Prototype GenAI features with product-minded thinking.
Lab Environment
Students train on tools and stacks that mirror real engineering workflows.
Curriculum Breakdown
- Concepts and workflow orientation for Generative AI & LLMs
- Environment setup using ChatGPT API and LangChain
- Mentor-led walkthroughs with checkpoints
Continue deeper in the same domain
Explore adjacent programs for progressive skilling or larger department rollouts.
Machine Learning Fundamentals
Learn supervised and unsupervised ML workflows with practical Python tooling.
Deep Learning & Neural Networks
Train neural networks and understand practical deep learning patterns.
Computer Vision with OpenCV & YOLO
Work on image processing, detection, and model-based vision pipelines.
Want this program on your campus or in your personal roadmap?
We can help you choose the right course format, domain progression, and delivery model.