AI-101
Modern AI Python Programming - Your Launchpad into Intelligent Systems
Master Modern Python programming for AI development with a strong focus on static typing, OOP, and asynchronous programming. Enhance efficiency using AI-assisted coding tools like GitHub Copilot. Gain hands-on experience in Python web development with frameworks like Streamlit and version control with GitHub.
Available Sections:
Details
AI-101 is your comprehensive gateway to Python programming for Artificial Intelligence. This course is laser-focused on equipping you with Modern Python skills, emphasizing static typing, the cornerstone of robust and scalable AI development. Uniquely, you will also learn to harness the power of AI to write Python code, accelerating your learning and development process. From foundational concepts to advanced techniques and practical web application development, AI-101 provides everything you need to excel in AI-driven projects and beyond.
Key Learning Modules
Module 1Python Fundamentals & Modern Typing
Establish a strong foundation in Python syntax, data structures (lists, dictionaries, sets, tuples), control flow, and functions. Critically, we introduce Python's type hinting system, Generics, and Decorators emphasizing its importance for code clarity, error prevention, and maintainability, especially in complex AI projects.
Module 2Object-Oriented Programming (OOP) in Python for AI
Master the principles of OOP (classes, objects, inheritance, polymorphism, encapsulation, dataclasses) and understand how to apply them effectively in AI development. Learn to structure complex AI systems using object-oriented design for modularity and reusability.
Module 3Advanced Python Concepts: Asynchronous Programming & Performance
Dive into advanced Python features like asynchronous programming (asyncio) for building efficient and concurrent applications, crucial for handling large datasets and complex AI workloads. Explore performance optimization techniques and understand the role of Python's Global Interpreter Lock (GIL) and upcoming solutions like 'No GIL' for enhanced concurrency.
Module 4AI-Assisted Python Programming
Leverage the power of AI tools to enhance your Python coding skills. This module will introduce you to techniques and tools that utilize AI to generate code snippets, debug programs, refactor code, and improve your overall Python development workflow. Learn to work with AI to become a more efficient Python programmer.
Module 5Web Application Basics with Python (UV, Streamlit, & GitHub)
Gain practical experience in building basic web applications using Python. We will explore lightweight web frameworks and tools including UV for environment management, and Streamlit for rapid UI creation. You'll also learn essential version control using GitHub for collaborative development and project management.
Module 6Future of Python & Python in AI
Explore the evolving landscape of Python, including upcoming features and performance improvements. Discuss the continued dominance of Python in the AI field and its application in cutting-edge AI domains like Machine Learning, Deep Learning, and Agentic AI.
Course Outcomes
Write proficient Modern Python code utilizing static typing for robust and maintainable AI applications.
Apply Object-Oriented Programming principles effectively in Python for structuring complex AI systems.
Implement asynchronous programming in Python for building high-performance AI applications.
Utilize AI-powered tools and techniques to enhance their Python coding efficiency and quality.
Develop basic Python web applications using modern tools and understand fundamental web development concepts.
Articulate the future directions of Python and its continued crucial role in the field of Artificial Intelligence.
Utilize GitHub for version control and collaboration.
Prerequisites
There are no pre-requisites for this course.