GETTING STARTED

Introduction to AI and Machine Learning

• Overview of AI and machine learning concepts
• History and evolution of AI

Python for AI and Machine Learning

• Introduction to Python programming
• Data manipulation and visualization

Data Preprocessing and Feature Engineering

• Data cleaning and preprocessing techniques
• Feature selection and extraction

Neural Networks and Deep Learning

• Introduction to neural networks
• Deep learning architectures (CNNs, RNNs, GANs)
• Training and optimizing deep learning models

Model Deployment and Production

• Model deployment techniques
• Building and deploying AI models in production environments

Capstone Project

• Apply learned concepts to a real-world project
• Work on a comprehensive AI and machine learning project
• Present and showcase your project