This course is about the soft skills and contextualization skills you need to become that go-to person in the office, who can explain the complex ideas about machine learning and artificial intelligence in a manner that is accessible to all.

Why should you improve your machine learning and artificial intelligence communication skills? Communication skills are vital to

● build your career, and

● to help your colleagues and organization become successful,

The hard truth is that facts are not enough. Your wording and style often matter more than your content.

While this course is aimed at data scientists, statisticians, and data analysts, it doesn’t contain any mathematics nor does it require any calculations and coding. Why? Firstly, because there are many courses and tutorials out there that can teach you the mathematics and tools, and I see no need to repeat them. Secondly, and more importantly, because the published research shows that spending time on the mathematical details only leads to confusion, distrust, and errors.

It’s more than 25 years since I started my journey in machine learning and artificial intelligence, and during that time I’ve seen it all. As a technical manager and later a member of the C-Suite, I sat through many presentations from technical staff. Too many of those presentations looked like a Ph.D. research paper rather than effective and trustworthy business advice. So, I started to mentor people in how to communicate better.

For more than a decade now, I have been teaching technical people how to communicate, and how to contextualize the people issues and business environment.

You are going to learn to talk to businesspeople in terms that they understand and that will engage their attention, ask businesspeople questions that will align your model's behavior with business needs, and anticipate and prepare for their questions.