What You Need to Know Before
You Start

Starts 5 June 2025 20:47

Ends 5 June 2025

00 days
00 hours
00 minutes
00 seconds
course image

Introduction to Machine Learning and AI

Explore the revolutionary realms of Artificial Intelligence (AI) and Machine Learning (ML) in the Raspberry Pi Foundation's four-week course, offered through edX. This comprehensive program is crafted for those intrigued by the mechanisms driving self-driving cars, age recognition technologies, and many other applications of AI. Delve into the core.
via edX

502 Courses


Not Specified

Optional upgrade avallable

All Levels

Progress at your own speed

Free

Optional upgrade avallable

Overview

Explore the revolutionary realms of Artificial Intelligence (AI) and Machine Learning (ML) in the Raspberry Pi Foundation's four-week course, offered through edX. This comprehensive program is crafted for those intrigued by the mechanisms driving self-driving cars, age recognition technologies, and many other applications of AI.

Delve into the core of AI and unravel the mysteries of Machine Learning, understanding its different types, and how it's transforming the technological landscape.

Throughout this course, you'll engage with various machine learning methodologies, including reinforcement learning, neural networks, supervised and unsupervised learning. You'll have the hands-on opportunity to train your own AI models using cutting-edge online tools, gaining insights into the problems ML can solve.

This journey will also take you through the critical discussions on the ethical considerations of data collection for training AI, preparing you to responsibly shape the future of this dynamic field. Join us in exploring the endless possibilities of AI and ML, and become part of the change driving the next wave of technological innovation.

Categories include:

Artificial Intelligence Courses, Machine Learning Courses, Reinforcement Learning Courses, Neural Networks Courses, Supervised Learning Courses, Unsupervised Learning Courses.


Taught by

Ben Garside and Mac Bowley


Subjects