Starting Up

Digital Revolution

Emerging Technologies

Cybersecurity

Essence of Agile

Regenerative Farming

Rethinking Health

AI for built environment

How to have difficult conversations

Introduction to inclusivity for knowledge workers

Focus training for knowledge workers

Feedback for self-organizing teams

Facilitation as a skill for forward looking teams

How not to burn out in the tech industry

Trustworthy AI

Advanced trustworthy AI

Elements of AI for Business

Tekoälytyökalut työn tehostajina

Tiedolla johtaminen ja datatalous

AI Ready

Will a robot take my job? How likely is artificial intelligence to change my job in the next ten years? Where are AI technologies being used right now and where will they come next?

In Chapter 1, we will cover the following sections. Click below to get started:

How should we define AI?

Related fields

Philosophy of AI

What is AI?

It has been long understood that learning is a key element of intelligence. This holds both for natural intelligence - we all get smarter by learning - and artificial intelligence. In Chapter 2, we will cover the following sections. Click below to get started:

The types of machine learning

The nearest neighbor classifier

Regression

Machine learning

Areas like natural language and image processing have traditionally been sore points of AI. Neural networks and deep learning are being used to achieve significant improvements in these areas. In Chapter 3, we will cover the following sections. Click below to get started:

Neural network basics

How neural networks are built

Advanced neural network techniques

Neural networks

In Chapter 4, we will cover the following sections. Click below to get started:

About predicting the future

The societal implications of AI

Summary

Implications

Learn the basics of AI and how to apply the knowledge to your work

Section	Exercises

Section	Exercises

Section	Exercises

Section	Exercises