Practical Machine Learning for AI: Foundational Skills and Experiments
Learn machine learning fundamentals for AI with Cardiff University, covering ethics, data preprocessing, and hands-on experiments. Ideal for beginners and professionals aiming to upskill.
Duration
2 weeks
Weekly study
3 hours
100% online
How it works
Unlimited subscription
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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.
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.
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