Introduction to AI and Machine Learning with Go (Golang)

About this course

Are you a Go developer ready to explore the exciting world of AI and machine learning? This course is your comprehensive guide, designed specifically for Gophers who want to add powerful AI skills to their toolkit. Much of the code in this course is written in Go, but some of it is written in Python, where it makes sense to do so, and this means that before taking this course you should have a basic understanding of both languages.

We'll start with fundamental AI concepts, building a strong foundation with practical, hands-on projects. Then, we'll dive into the world of machine learning, tackling everything from classic regression models to modern neural networks. You'll learn how to leverage Go for high-performance AI applications, and discover how to integrate it with Python and cutting-edge tools like Hugging Face and LLMs for state-of-the-art solutions.

What You'll LearnSearch Algorithms & Intelligent Agents: Master core AI search algorithms like A* and Dijkstra's by solving mazes and building a robot vacuum. Propositional Logic & Model Checking: knowledge based AI agents often need to make decisions based on available information in the world they operate in. Propositional logic and model checking are two different approaches to solving this problem.

Uncertainty: Learn how AI agents handle randomness by creating a Battleship AI and a card-counting Blackjack player.

Machine Learning Fundamentals: Get a practical understanding of linear regression by building models in both Python and Go to predict housing prices.

Deep Learning & Neural Networks: Build a neural network from scratch for housing price prediction and a Convolutional Neural Network (CNN) for image classification.

Natural Language Processing (NLP): Discover the power of NLP by creatin

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