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Course Overview The Python for AI Bootcamp is a full course for beginners designed to take you from zero to confident Python developer—with a laser focus on AI, Machine Learning, and Data Science workflows. I teach you to build systems. So, instead of generic coding exercises, you will learn Python by building end-to-end projects. This bootcamp is perfect for complete beginners, as well as intermediate learners who need to modernize their stack with Pydantic, AsyncIO, and API development to prepare for careers in AI Engineering. 📚 Syllabus This 40-hour curriculum is split into 5 modules designed to build momentum. Phase 1: The Core (Modules 1-3) 1️⃣ Python Foundations: Master variables, control flow, and logic to automate decision-making. 2️⃣ Data Structures: Stop using spreadsheets and start using Lists, Dictionaries, and Sets to manage data programmatically. 3️⃣ Object-Oriented Programming (OOP): Learn to structure code like a software engineer using Classes, Inheritance, and Modular design. 4️⃣ Professional Tooling: Master the ecosystem—Virtual Environments (venv), Dependency Management (pip), and Git basics. Phase 2: The Data Stack (Module 4) 1️⃣ NumPy & Vectorization: Learn why loops are slow and how to perform mathematical operations on millions of data points instantly. 2️⃣ Pandas DataFrames: Load, clean, filter, and aggregate messy real-world data like a Data Scientist. 3️⃣ Machine Learning Gentle Intro Phase 3: AI Engineering & Production (Module 5) 1️⃣ Type Safety with Pydantic: Learn to validate data schemas strictly—a critical skill for working with LLMs and RAG pipelines. 2️⃣ Asynchronous Programming: Master async/await to run web scrapers and API calls in parallel for high-performance apps. 3️⃣ API Development with FastAPI: Don't just run code on your laptop—wrap your ML models in a REST A