Duration
2 weeksWeekly study
3 hours100% online
How it works
Practical Machine Learning for AI: Foundational Skills and Experiments
Explore AI with Machine Learning
Unlock the potential of machine learning and take your first steps towards mastering this revolutionary technology. Enrol in this course to uncover its fundamental principles, understand ethical considerations, and gain practical skills that set you apart in the field of artificial intelligence.
Discover the principles of machine learning fundamentals
Machine learning is at the core of today’s AI advancements, influencing technologies, such as self-driving cars and search engines.
You’ll learn what it is, how it works, and why it’s crucial in the modern technological landscape. By the end of this segment, you’ll have a solid understanding of machine learning basics, preparing you for more advanced topics.
Understand the ethical implications of machine learning
Next, you’ll explore topics such as bias in AI, data privacy issues, and the societal impacts of machine learning technologies. Understanding these ethical dilemmas is essential for anyone entering this field, ensuring that the development and application of machine learning solutions are responsible and fair.
Explore data preprocessing techniques
Effective machine learning models depend heavily on the quality of data they are trained on. This section focuses on the fundamental techniques of data preprocessing. You’ll learn how to clean, transform, and prepare data for use in machine-learning models.
You’ll also be able to improve the accuracy and performance of your machine-learning experiments, making your insights more reliable and impactful.
By the end of the course, you’ll be well-equipped to apply machine learning principles in real-world scenarios, paving the way for further study and career advancement in this exciting field.
Syllabus
Week 1
Machine learning fundamentals
Welcome to Practical Machine Learning for AI
This activity is all about getting to know the course you will be completing, how to use and navigate the FutureLearn platform, and some tips about learning online.
Introduction to machine learning
In this activity, we will explore the concept and scope of machine learning within the discipline of artificial intelligence. We will discover the importance of machine learning and its applications.
Machine learning pipelines
In this activity, we are going to look at the general process of a machine learning project. We will also explore the key stages in a machine learning pipeline and have a look at the generic structure of any machine learning.
Summary of week 1
In this activity, we will reflect on the content covered this week. You will have an opportunity to check your knowledge and reflect on the progress you have made so far.
Week 2
Basic data preprocessing
Machine learning approaches
In this activity, we will discover the three groups of machine learning approaches when we take a look at supervised learning, unsupervised learning and reinforcement learning.
Ethics and Bias
Ethics or moral philosophy describes the set of moral principles that influence people’s decisions and conduct. Moral codes of conduct shape people’s opinions on what’s good/right or bad/wrong.
Machine learning platforms
This activity will introduce the machine learning development platform that will be used throughout the micro credential - Google Colab.
Summary of week 2
In this activity we'll be reflecting on what we've covered this week. You'll get a chance to check your knowledge and reflect on the progress you've made so far.
When would you like to start?
Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.
Available now
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Describe a fundamental understanding of machine learning
- Identify the fundamental principles underlying common machine learning methods
- Apply the appropriate environment to run machine learning experiments
Who is the course for?
This course is for anyone interested in delving into the field of machine learning.
Whether you’re a non-specialist seeking foundational knowledge, a tech enthusiast, or a professional aiming to upskill, this course provides the essential principles and hands-on experience needed to advance in AI.
Who will you learn with?
I am working as a Teaching Associate at Cardiff University. My specialization is mainly in Data Science and Software Engineering. I have years of experience working in industry and education sector.
I am a Professor in the School of Computer Science and Informatics, Cardiff University. My research interests include Computer Graphics, Computer Vision and Machine Learning.
Ways to learn | Buy this course | Subscribe & save | Limited access |
---|---|---|---|
Choose the best way to learn for you! | $54/one-off payment | $244.99 for a whole year Automatically renews | Free |
Fulfill your current learning need | Develop skills to further your career | Sample the course materials | |
Access to this course | tick | tick | Access expires 26 Feb 2025 |
Access to 1,000+ courses | cross | tick | cross |
Learn at your own pace | tick | tick | cross |
Discuss your learning in comments | tick | tick | tick |
Certificate when you're eligible | Printed and digital | Digital only | cross |
Cancel for free anytime |
Ways to learn
Choose the best way to learn for you!
Subscribe & save
$244.99 for a whole year
Automatically renews
Develop skills to further your career
- Access to this course
- Access to 1,000+ courses
- Learn at your own pace
- Discuss your learning in comments
- Digital certificate when you're eligible
Cancel for free anytime
Buy this course
$54/one-off payment
Fulfill your current learning need
- Access to this course
- Learn at your own pace
- Discuss your learning in comments
- Printed and digital certificate when you’re eligible
Limited access
Free
Sample the course materials
- Access expires 26 Feb 2025
Find out more about certificates, Unlimited or buying a course (Upgrades) Sale price available until 3 March 2025 at 23:59 (UTC). T&Cs apply. |
Find out more about certificates, Unlimited or buying a course (Upgrades)
Sale price available until 3 March 2025 at 23:59 (UTC). T&Cs apply.
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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