Your Pathway to AI/ML Engineering

Live Class 1: Introduction to AI & Machine Learning

Topics:

What is AI & ML? । Real-world applications of AI (e.g., ChatGPT, Netflix, Self-driving cars) | Career roles in AI (AI Engineer, ML Engineer, Data Scientist, MLOps) | Future of AI: Generative AI, GPT, LangChain, Multi-Agent Systems

Live Class 2: Getting Started with Python for AI

Topics:

Python basics for AI: Variables, loops, functions | Introduction to Jupyter Notebook & Google Colab | Using Numpy and Pandas for data manipulation | Data cleaning and visualization basics with Matplotlib

Live Class 3: Building Your First ML Model

Topics:

Introduction to ML models: Regression vs Classification | Evaluating models: Accuracy, Confusion Matrix | Workflow: Data → Model → Prediction | Introduction to scikit-learn and basic model building

Hands-on Project: Predicting Student Scores (Regression)

Objective: Build a simple machine learning regression model to predict student exam scores based on study hours.