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AI Series: Getting Started with AI (5cr)

Code

General information


Enrollment
01.08.2025 - 20.07.2026
Registration for the implementation has begun.
Timing
01.09.2025 - 31.07.2026
The implementation has not yet started.
Number of ECTS credits allocated
5 cr
Institution
LAB University of Applied Sciences, Verkkokampus
Teaching languages
English
Seats
0 - 2000

Unfortunately, no reservations were found for the realization AI Series: Getting Started with AI C-10126-AT00DH88-3001. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.

Evaluation scale

Approved/Failed

Content scheduling

Students learn the foundational concepts, key terminologies, and practical applications of AI, and understand its significant impact across various sectors. This course will equip students with the knowledge to grasp AI's core principles and its diverse applications in fields like healthcare, finance, transportation, and more.

Objective

- Understanding AI: Gain a clear definition of AI, its scope, and related fields such as machine learning, deep learning, robotics, and natural language processing (NLP). - Evolution and Impact of AI: Explore the historical milestones of AI and its transformative impact on different sectors. - AI Applications: Learn about AI applications in healthcare, finance, transportation, retail, education, and agriculture. - Machine Learning Basics: Delve into the fundamentals of machine learning, including supervised, unsupervised, and reinforcement learning. - Neural Networks and Deep Learning: Explore neural networks, deep learning, and their applications in AI. - Ethical Considerations in AI: Examine the ethical concerns and societal implications of AI, including privacy, bias, transparency, and job displacement.

Location and time

You can complete the course at your own pace as long as it's available

Materials

All the needed material is in the course. This also includes videos, ebooks and audio lessons.

Teaching methods

Independent online course

Student workload

The course offers 5 ECTS credits worth of content

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