What is AI, ML, DL?

Real-life AI applications

Career paths in AI & roles

Intro to GenAI: ChatGPT, Gemini, Claude, Copilot

Python essentials (variables, loops, functions)

Libraries: NumPy, Pandas, Matplotlib

Jupyter & Google Colab setup

Mini Projects:

• BMI Calculator

• Student Grading System

• Data Summary App

Handling missing data

Encoding categorical variables

Scaling & normalization

Data visualization using Matplotlib & Seaborn

Project: EDA on IPL / Titanic / Sales Data

Supervised vs Unsupervised Learning

Regression (Linear, Polynomial)

Classification (Logistic, KNN, SVM)

Clustering (K-Means, DBSCAN)

Model evaluation metrics

Project: Salary Prediction, Fraud Detection, Customer Segmentation

Neural Networks fundamentals

Activation functions

CNN & Image Processing basics

Project: Handwritten Digit Recognition (MNIST)

Text cleaning & vectorization

Sentiment analysis

Chatbot basics using Dialogflow or Python

Project: Sentiment Analysis on Tweets or Product Reviews

Prompt engineering

OpenAI API integration

Build a mini AI assistant using ChatGPT

Tools: Canva AI, Notion AI, D-ID, Eleven Labs

Project: Resume Builder AI / Email Generator

Use of AI in marketing, sales, HR, education

No-Code AI: Teachable Machine, Pictory, Leonardo.ai, AutoML

Project: Build a Face Recognition or Voice Cloning App