🔥 AI & Machine Learning Track

Goal: Build real AI systems and understand how modern tools (like ChatGPT) actually work.

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Core Modules

Python for AI

Data structures, scripting, APIs
NumPy, Pandas basics

Machine Learning Foundations

Supervised vs Unsupervised learning
Regression, classification, clustering
Model evaluation

Deep Learning

Neural networks fundamentals
PyTorch / TensorFlow
Computer vision & NLP basics

Modern AI Systems

LLMs (ChatGPT-style models)
Prompt engineering
Hugging Face ecosystem

AI Deployment

Build and deploy AI apps
APIs + Flask backend
Dockerizing ML models

Hands-On Projects

Spam / Phishing Classifier – Build a machine learning model to detect malicious emails
Image Recognition App – Create a computer vision application using deep learning
Chatbot using LLM APIs – Develop an intelligent chatbot powered by large language models

Career Outcomes

AI Engineer (entry-level)

ML Engineer Intern

Data Scientist (junior)