Learn how explainable AI makes AI models more transparent, and build fair AI systems with this free online course

In this course, you will learn the basics of XAI, as well as the different techniques that can be used to explain the predictions of AI models. You will also get familiar with the challenges of XAI and the ethical considerations that need to be taken into account when developing explainable AI systems. By the end of this course, you will have gained an understanding of the importance of XAI systems and familiarity with various XAI techniques. You would also see how you could apply these techniques to develop an XAI model in the real world.

We begin this course with a deep dive into Explainable AI models, covering their importance, types, challenges, and demystifying XAI. Next, and importantly, you will see how AI models work and how XAI models could be employed to explain this. We also cover some major examples of Explainable AI frameworks. As with all things AI, the use of XAI comes with important ethical considerations, and you will understand this in great detail as well as carry out XAI projects with these considerations in mind.

This course is designed for anyone who wants to learn more about XAI, including data scientists, machine learning engineers, and business analysts. Amazingly, no prior knowledge of AI is required. Some benefits of taking this course include the opportunity to learn from experienced XAI instructors and gain hands-on experience in AI techniques. So what are you waiting for? Sign up today and start learning about Explainable AI!