Artificial Intelligence A-Z™: Learn How To Build An AI

You will learn key AI concepts and intuition training to get you quickly up to speed with all things AI, covering: how to start building AI with no previous coding experience using Python; how to merge AI with OpenAI Gym to learn as effectively as possible; how to optimize your AI to reach its maximum potential in the real world.With this course you will get:complete beginner to expert AI skills; intution tutorials (answering the why’s); code templates; real-world solutions; in-course support.

Deep Learning A-Z™: Hands-On Artificial Neural Networks

The tutorials are grouped into two volumes, representing the two fundamental branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning, with each volume focusing on three distinct algorithms.With these tutorials you will be confident that you understand all the techniques on an instinctive level, always knowing the reason why you’re doing what you’re doing. And once you proceed to the hands-on coding exercises you will see for yourself how much more meaningful your experience will be. Inside this class you will work on Real-World datasets, to solve Real-World business problems. Whenever you ask a question you will get a response within 48 hours maximum.

Creating Ethical and Trustworthy Artificial Intelligence

This course explains the Ethics Guidelines for Trustworthy AI created by the European Union’s High-Level Expert Group on Artificial Intelligence, with insights from members of the group as well as experts from SAP. Each of them will share their own insights, examples, and areas of particular interest when it comes to artificial intelligence.Both the challenges and the opportunities that AI presents us with and how to best balance these two sides, will be discussed. Most importantly, the concepts that are key to understanding and thinking critically will be explored.

Defensive Programming and Debugging

On this course, you’ll discover how to reduce bugs during software development. You’ll learn with examples in both C and Fortran programming languages and understand how to catch bugs early using compiler features and writing tests for your code.You’ll learn to find the bugs in your code using the best tools available including debuggers and code analysers. You’ll also look at parallel programs and explore tools for debugging parallel code at scale.

Solving Public Problems with Data

This training is a series of online lectures by leading experts from the Governance Lab. It introduces you to Data Science and Data Analytical thinking in the public interest. These lectures will teach you how to use data to solve public problems.

Standard for Public Code

This course introduces the term public code, explains why this is important, and introduces the process through which software and policy code can become certified public code.

CNRS, GDR MACS and Ecole Centrale Lyon: Data-driven Model Learning of Dynamic Systems

The 5-days Spring School aims at covering the fundamentals of data-driven modeling approaches (ranging from parameter estimation algorithms (PEM and ETFE) and experiment design to model validation) as well as more advanced topics. In this year edition, these advanced topics will pertain to closed-loop identification, to optimal experiment design and to the use of statistical tools (such as the maximum likelihood theory) for learning the dynamics of linear and nonlinear systems. The school consists of a series of lectures and of (computer) exercise sessions.

Intro to Artificial Intelligence

In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.

Master in Artificial Intelligence for public services

This master’s program will prepare the future digital transformation leaders for AI in the public sector. You will learn how to plan, design and use Artificial Intelligence in the delivery of public services, so as to improve the provision, effectiveness and value of these public services as well as the public sector’s capacity by means of an adequate management, knowledge and development of AI-related projects and services.

Ethics of AI

The Ethics of AI is a free online course created by the University of Helsinki. The course is for anyone who is interested in the ethical aspects of AI – we want to encourage people to learn what AI ethics means, what can and can’t be done to develop AI in an ethically sustainable way, and how to start thinking about AI from an ethical point of view.



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Link text

Link Type

Organization url

Target audience

  • Digital skills for all

Digitale technologie / specialisatie


Niveau digitale skills

  • basic|intermediate

Geographic Scope - Country

  • Belgium

Type of initiative

International initiative

Industry - Field of Education and Training

  • Information and Communication Technologies (ICTs) not further defined