🎓 Python Master Class: 15 Hours Basic Python to AI Application 🌐 Module 1: Introduction to Python for AI (1 hour) • Overview: 📘 Basic concepts of Python programming, focusing on its application in AI. • Key Topics: Python syntax, data types, and basic operations. Module 2: Python Data Structures and Control Flow (1 hour) • Overview: 🧱 Understanding Python's built-in data structures and control flow mechanisms. • Key Topics: Lists, dictionaries, loops, and conditional statements. Module 3: Functions and Modules in Python (1 hour) • Overview: ⚙️ Creating reusable code with functions and modules. • Key Topics: Defining functions, importing modules, and understanding scope. Module 4: Introduction to NumPy (1.5 hours) • Overview: 📊 Basics of NumPy for numerical computing. • Key Topics: NumPy arrays, array operations, and basic array manipulations. Module 5: Advanced NumPy Techniques (1.5 hours) • Overview: 🔍 Diving deeper into NumPy for more complex operations. • Key Topics: Indexing, slicing, and statistical functions. Module 6: Getting Started with Pandas (1.5 hours) • Overview: 🐼 Basics of Pandas for data manipulation and analysis. • Key Topics: DataFrames, data importing/exporting, and data inspection. Module 7: Data Manipulation with Pandas (1.5 hours) • Overview: 🔄 Advanced data operations using Pandas. • Key Topics: Data cleaning, transformation, and aggregation. Module 8: Introduction to OpenAI APIs (1 hour) • Overview: 💻 Basics of using OpenAI APIs. • Key Topics: API setup, making simple API calls, and understanding responses. Module 9: Building Simple Chatbots (1 hour) • Overview: 💬 Creating basic chatbots using AI techniques. • Key Topics: Chatbot design principles and integration with OpenAI APIs. Module 10: Introduction to Streamlit (1 hour) • Overview: 🖥️ Basics of Streamlit for building AI-powered web applications. • Key Topics: Setting up Streamlit, creating simple web interfaces. Module 11: Deploying AI Applications with FastAPI (1.5 hours) • Overview: 🚀 Using FastAPI for creating and deploying AI applications. • Key Topics: API development, request handling, and deployment basics. Module 12: Project and Deployment on Hugging Face (1.5 hours) • Overview: 🎯 Hands-on project to apply learned concepts and deployment on Hugging Face. • Key Topics: Project development, integration of AI models, and deployment strategies.