Introduction to Artificial Intelligence

Course description

After completing a course, student has learned what are the basic tehniques to manifest artificial intelligence in practise.

• Introduction
• Data Exploration
• Supervised learning
• Unsupervised learning
• Deep Learning
• Reinforcement learning

Prerequisites

None.

Assessment criteria

Grading is pass after student has done at least 80% of tasks.

Course way of working and time table

Course is 100% online (Self-Study) course and it can be done in own pace. So, student can schedule her/his studies her-/himself.

Course info

Course environment is Metropolia’s Viope environment.

Course enrolment info

• Course is 100% online self-study course.
• You can enroll this course whenever it’s suitable for you and start it at once you have enrolled it.
• Course can be done in own pace.
• Credits will be putted into our Student register as soon as student has done this course.