
Introduction to AI and Machine Learning with Go (Golang)
Learn the fundamentals of Artificial Intelligence and Machine Learning and apply them to your Go programs.
What you'll learn
Requirements
- This course is for intermediate to advanced Go developers. You should be comfortable with Go syntax and core concepts. A basic understanding of data structures like graphs and trees is also helpful, but not required. You should also have a basic understanding of Python.
- All you need is a computer running Windows, macOS, or Linux. While a GPU will speed up certain deep learning tasks, it is not essential; everything will run on a CPU.
About this course
Are you a Go developer ready to explore the exciting world of AI and machine learning? This Introduction to AI and Machine Learning with Go (Golang) 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.
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Udemy Course Reviews
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