Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Master the fundamentals of AI and discover how it's transforming industries, technology, and everyday life
Artificial Intelligence (AI) is rapidly reshaping how we live, work, and interact with the world. This beginner-friendly course offers a comprehensive introduction to key AI concepts, designed for anyone curious about intelligent technologies and their real-world impact.
You'll learn the fundamentals of machine learning, neural networks, natural language processing (NLP), computer vision, and the difference between narrow AI and artificial general intelligence (AGI). The course explains how parameters influence model outputs, how AI systems are trained, and how large language models (LLMs) work within practical workflows—covering everything from data input to training cycles and feedback.
Each lecture includes a short reinforcement quiz to help solidify your understanding and encourage retention. With clear, jargon-free explanations, learners gain a strong foundation in AI model architecture, types of learning (like supervised, unsupervised, and reinforcement learning), and ethical implications of modern AI systems.
Authored by an experienced software developer with 35+ years in the tech industry and a passion for science and innovation, this course prioritizes clarity, curiosity, and real-world relevance.
Whether you're a student, professional, or tech enthusiast, you'll finish with the confidence to engage in AI discussions and explore advanced topics. No prior experience required—just basic English comprehension and an internet-enabled device.
Course Content
- 1 section(s)
- 9 lecture(s)
- Section 1 Artificial Intelligence - An Essential Introduction
What You’ll Learn
- Gain a clear understanding of how artificial intelligence functions
- Understand machine learning components ( Data, algorithms and models)
- Familiarize themselves with essential AI terminology
- Understand how models and large language models are trained
- Understand what AI agents are and how AI agents work
- Be able to talk about the different types of AI ( Narrow AI, AGI, ASI)
- Be able to discuss the tools used for generative AI
- Understand why and how AI needs to be controlled so as to not pose an existential threat
- Be able to discuss ethical considerations in AI
- Explore practical, real-world applications of AI
- Discover and evaluate today’s leading AI tools
- Understand the difference between machine learning and deep learning
- Understand why and how neural networks are used
Skills covered in this course
Reviews
-
RRemco Aalbers
eerste niet duidelijk dat je voor de vragen pauze moet gebruiken. Zou beter zijn gewoon te stoppen en volgende te selecteren als je klaar ment. Je kun niet per vraag je antwoord selecteren en daarna zien welke je goed had en welke niet. Met daar bij goede antwoord. Je zou op de verschillende uitleg pagina's de verschillende boxen opnieuw moeten kunnen selecteren voor herhaling. daarna volgende om door te gaan.
-
ssylvia ridley
Good content and easy to follow. I liked that the course didn’t overcomplicate things or throw unnecessary jargon at me. It’s well-paced and perfect for someone like me who just wanted to understand the basics without feeling overwhelmed.
-
MMary Ekaete
Great intro course! I finally understand what AI actually is and how it works behind the scenes. Before this, I had so many misconceptions, but now everything makes sense. The examples really helped bring the concepts to life.
-
RRlois nuy
Short, sweet, and super helpful for the beginners. I was able to finish it in a couple of hours, and now I feel like I have a solid foundation. The best part is how approachable the explanations are, it feels like a friendly guide, not a textbook.