Foundations of AI Programming with Python

Artificial intelligence is transforming technology, but building AI solutions requires a rock-solid programming foundation. This text-based course guides you from Python basics to the core concepts of machine learning and neural networks. You will transition from writing basic scripts to understanding how modern AI models process data, learn patterns, and generate text. By reading clear explanations and studying practical code examples, you will gain the confidence to work with data pipelines and deep learning frameworks. What you'll learn: - Master Python fundamentals, including modern type hints and clean coding practices essential for AI development - Manipulate and analyze datasets using foundational libraries like NumPy and pandas - Build and train basic machine learning models to identify patterns and make predictions - Implement neural networks from scratch and using the PyTorch library - Understand generative AI concepts, including Transformer architectures and pre-trained language models - Apply data visualization techniques using Matplotlib to interpret model performance The course starts with essential programming definitions and core Python syntax before progressing to data manipulation, mathematical foundations, and neural network implementation. You will explore how modern generative models work and read through step-by-step code walkthroughs. This course is designed for beginners who want to enter the AI field, requiring only basic computer literacy and no prior machine learning experience. Start your journey into artificial intelligence programming today.