Elements of AI

Free AI course for business professionals - no programming or math skills required

The goal of this course is to demystify AI

The elements of AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with AI, and how it affects our lives – with no complicated math or programming required. 

After taking the course, you will be able to:
- Understand some of the major implications of AI
- Think critically about AI news and claims 
- Define and discuss what AI is
- Explain the methods that make AI possible

The course is divided into 6 parts that you can go through in order or jump straight to the sections that interest you most.

Chapter 1 - 
What is AI?
- I. How should we define AI?
II. Related fields
III. Philosophy of AI 

Chapter 2 - 
AI problem solving
I. Search and problem solving
II. Solving problems with AI
III. Search and games 

Chapter 3 - 
Real world AI
I. Odds and probability
II. The Bayes Rule
III. Naive Bayes classification 

Chapter 4 - 
Machine learning
I. The types of machine learning
II. The nearest neighbor classifier
III. Regression 

Chapter 5 - 
Neural networks
I. Neural network basics
II. How neural networks are built
III. Advanced neural network techniques 

Chapter 6 - 
Implications
I. About predicting the future
II. The societal implications of AI
III. Summary 

You are able to take the course at ElementsofAI.com

After taking the course keep updated with Aritificial Intelligence companies in your industry by signing up to Welcome.AI and following categories and companies to receive their latest updates.

The course is self paced but recommended to be completed in 6 weeks and take approximately 5-10 hours to finish each part of the course. Some exercises require a lot of thinking, drawing on paper and going back to the theory part so they can take up to 45 minutes.

The course was designed by Reaktor and the University of Helsinki. The lead instructor of the course is Associate Professor Teemu Roos with industry insights from Hanna Hagström, Director of AI at Reaktor. The course is a part of the AI Education programme of the Finnish Center for AI, and offered in cooperation with The Open University, and Mooc.fi.


Leave A Comment

Discover, Learn and Evaluate AI Companies and Solutions

Save content to your library

Save case studies, articles, blog posts and more. Curate your research library with content directly from AI companies.

Login with LinkedIn Login with Twitter

Sign in with Email

The latest updates from AI companies in your industry

Get a weekly newsletter with the latest posts directly from the AI companies. Follow companies to tailor your feed.

LATEST | POPULAR
Make sure your business and career keeps up with the changing world.
Sign up