Raspberry Pi Foundation
- Start Date: 02 Jan, 2023
- 4 weeks
- Study Content: Videos
Discover the fundamentals of machine learning, how it works, and learn to train your own AI using free online tools.
Course Fee: Free
Certificate Cost: See Fees and Eligibility
Course Description
This course is made available through the eLearnAfrica and FutureLearn partnership.
Build your knowledge and skills in machine learning
From self-driving cars to determining someone’s age, artificial intelligence (AI) systems trained with machine learning (ML) are being used more and more. But what is AI, and what does machine learning actually involve?
On this four-week course from the Raspberry Pi Foundation, you’ll learn about different types of machine learning, and use online tools to train your own AI models.
You’ll delve into the problems that machine learning can help to solve, discuss how AI is changing the world, and think about the ethics of collecting data to train a machine learning model.
Explore the different types of machine learning
The first week of this course will guide you through how you can use machine learning to label data, whether to work out if a comment is positive or negative or to identify the contents of an image.
Then you’ll look at machine learning algorithms that create models to give a numerical output, such as predicting house prices based on information about the house and its surroundings.
You’ll also explore other types of machine learning that are designed to discover connections and groupings in data that humans would likely miss, giving you a deeper understanding of how machine learning can be used.
Use tools to develop and train your own AI
During this course, you’ll also investigate the different ways that the machine learning actually takes place.
You’ll compare supervised learning, which uses training data labelled with the desired outcome, to unsupervised learning, where the aim of the machine learning is to spot new connections.
In the final week of the course, you’ll investigate neural networks; a type of machine learning inspired by the structure of the brain that is used by many state-of-the-art AI systems such as YOTI’s age determination algorithm.
This course is designed for anyone looking to learn more about machine learning without having to understand the maths involved.
To get the most out of this course, you should already have an understanding of what a computer algorithm is.
Some of the practical tasks also require familiarity with the Scratch programming language.
The practical tasks in this course require access to the Scratch, Machine Learning for Kids, and Teachable Machine websites.
One of these tasks will also require the use of a webcam.
Certificate cost may vary. You will be redirected to the host page for cost and payment options.
Raspberry Pi Foundation
The Raspberry Pi Foundation works to put the power of digital making into the hands of people all over the world, so they are capable of understanding and shaping our increasingly digital world, able to solve the problems that matter to them, and equipped for the jobs of the future.
We provide low-cost, high-performance computers that people use to learn, solve problems and have fun. We provide outreach and education to help more people access computing and digital making. We develop free resources to help people learn about computing and how to make things with computers, and train educators who can guide other people to learn.
This institution is available on eLearnAfrica through partnership with FutureLearn.
COLLABORATION POLICY
By enrolling in a course on or through eLearnAfrica, you are joining a special worldwide community of learners. The aspiration of eLearnAfrica is to provide anyone with an internet connection access to courses from the best universities and institutions in the world and to provide our learners the best educational experience internet technology enables. You are a part of the community that will help eLearnAfrica achieve this goal. eLearnAfrica depends upon your motivation to learn the material and to do so with honesty and academic integrity. In order to participate in eLearnAfrica, you must agree to the Honor Code below and any additional terms specific to a class.
ELEARNAFRICA HONOR CODE PLEDGE
By enrolling in a course, program, or degree hosted on the eLearnAfrica App or Site, I agree that I will:
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Complete all tests and assignments on my own, unless collaboration on an assignment is explicitly permitted.
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Maintain only one user account and not let anyone else use my username and/or password.
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Not engage in any activity that would dishonestly improve my results, or improve or hurt the results of others.
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Not post answers to problems that are being used to assess student performance.
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Abide by any and all requirements of the eLearnAfrica Participants as may regard the expectations of civil or academic behavior or of community standards.
VIOLATIONS
If you are found in violation of the Terms and Conditions or Honor Code, you may be subject to one or more of the following actions:
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Receiving a zero or no credit for an assignment;
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Having any certificate earned in the course withheld or revoked;
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Being unenrolled from a course, learning program or degree program; or
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Termination of your use of the App and/or Site.
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Additional actions may be taken at the sole discretion of eLearnAfrica and eLearnAfrica course providers.
No refunds will be issued in the case of any corrective action for such violations.
Honor code violations will be determined at the sole discretion of eLearnAfrica, the Partners, or Members. You will be notified if a determination has been made that you have violated this honor code and you will be informed of the corresponding action to be taken as a result of the violation.
CHANGING THE HONOR CODE
Please note that we review and may make changes to this Honor Code from time to time. Any changes to this Honor Code will be effective immediately upon posting on this page, with an updated effective date. By accessing the App and/or Site after any changes have been made, you signify your agreement on a prospective basis to the modified Honor Code and any changes contained therein. Be sure to return to this page periodically to ensure familiarity with the most current version of this Honor Code.
Effective Date: September 22, 2016