Month 1: Introduction to Artificial Intelligence

Week 1: Introduction to Artificial Intelligence (AI)

• History and Evolution of AI
• AI applications and use cases
• Types of AI: Narrow AI, General AI, and Superintelligence
• AI technologies and techniques

Week 2: Python Fundamentals for AI

• Setting up Python environment (Anaconda, Jupyter Notebook)
• Python syntax, variables, and data types
• Python control structures: loops and conditionals
• Functions, modules, and Libraries

Week 3: Data Structures and Algorithms in Python

• Python built-in data structures: lists, tuples, sets, and dictionaries
• Custom data structures: stacks, queues, and linked lists
• Sorting algorithms: bubble sort, insertion sort, and quick sort
• Searching algorithms: linear search, binary search, and hash-based search

Week 4: Introduction to Git and GitHub

• Version control concepts and benefits
• Git basics: installation, setup, and configuration
• Git commands: init, add, commit, status, log, diff, and checkout
• GitHub: creating repositories, branches, pull requests, and collaboration