Course

Masterclass AI - Part 2: A deep dive into how it works

Part 2 of 5
AI is here, and it's here to stay. In the last couple of years, AI has woven itself into all our personal and professional lives. Yet big questions remain: Many still wonder how it actually works, what it can really do and whether it's truly ethical to use... Let's discuss all these questions in detail in our 5 (!) part course to tell you everything you need to know about AI.

In this second part, we'll dive behind the scenes to learn how it actually works.
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Olivier Drybooms
Teacher "Masterclass AI"

Hours

Videos

Course sections

Questions and answers

What will you learn?

AI is all around us—shaping how we work, live, and make decisions. Many of us already use it daily, often without realising it.
But the rapid rise of AI also raises big questions… like "Do we actually know what AI is or how it works? Are we using it to the fullest potential? And what about its ethics?"
That’s why we designed the five-part Masterclass AI for Professionals. Together, the courses take you from the basics to practical application and critical reflection. We start with the foundations, exploring what AI is and how it has evolved. Then we move into a deep dive on how AI systems actually work, followed by generative AI, where you’ll see how today’s most popular tools can be used in practice. Next, you’ll learn how to become an AI ambassador, spotting opportunities, prioritising ideas, and putting them into action. Finally, we close with the ethics of AI, understanding the risks, responsibilities, and impacts that come with this powerful technology.
This second part takes you into the engine room of AI. From the input data to learning approaches and model architectures, you’ll uncover the key elements that define how AI is built and how it behaves.

Input & learning paradigms

Every AI system starts with input: the text, images, sounds, or numbers it needs to learn from. We’ll discuss these input types and then compare the different ways AI learns—through labels, patterns, feedback, or self-correction. Each paradigm has its strengths, and we’ll show how they apply to real-world use cases.

Master the Essentials of Data

To make the learning experience more engaging, we don’t just present theory—we introduce thought-provoking questions and give space for reflection. Each module includes Q&A blocks, helping you actively connect the content to your own work.

Model types

AI models are like toolkits, each designed for different jobs. In this part, you’ll discover how models evolved from simple machine learning approaches to advanced deep learning. We’ll break down the most important ones, such as transformers, CNNs, and diffusion models, and explain why they matter for the AI you see in action today.

The target audience?

This course is built for professionals who want to understand AI without needing a technical background. Whether you manage teams, shape strategy, work in consulting, or are simply curious, you’ll gain the clarity and shared language needed to talk about AI confidently and prepare for the next steps of the Masterclass.
Meet the instructors
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Olivier Drybooms

Consultant - Trainer - Data & AI Enthusiast
Olivier is a Business Architect and Trainer with experience in Business, Functional & Data Analysis. Passionate about leveraging data to its fullest potential to drive decision-making and problem-solving, Olivier is dedicated to empowering teams to excel in today’s data-rich environment, unlocking their full potential.
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Jan Moons

Professor - CEO - Expert in Business & IT Education
Jan Moons, professor at the University of Antwerp and CEO of The Master Channel, is passionate about equipping students and professionals with the right skills to succeed. Quality is at the core of his work, whether in consultancy, training, or delivering value to clients, bridging the gap between academia and business.

Professional development

The Master Channel - Certificate of Completion

Complete all the content of a course to earn your TMC Certificate of Completion