The course introduces you to AI and IoT (Internet of Things) and explores how they can be utilized in an industrial setting. Examples of AI include object classification through machine vision, sound recognition, and anomaly detection. Large Language Models like ChatGPT are not part of the course. The IoT component covers measuring everyday phenomena (e.g., temperature, humidity, accelerometer readings) and sending this data to an IoT platform on the internet. You will learn primarily through practical exercises, using your own computer, smartphone, and devices the university will provide.
Benefits
- This course provides participants with foundational knowledge and practical skills necessary for understanding and utilizing artificial intelligence (AI) and the Internet of Things (IoT) in industrial applications. The primary objectives of the course are to strengthen participants’ abilities to analyze and leverage data collected from IoT devices and to apply AI to concrete industrial needs, such as classification, recognition, and anomaly detection.
- Participants will develop practical skills in data measurement, processing, and analysis, as well as in sending data to IoT platforms. These skills are applied in real-world scenarios, such as collecting and interpreting temperature, humidity, and accelerometer readings. Through hands-on exercises, students use their own devices alongside university-provided equipment, ensuring they gain firsthand experience in applying these technologies.
- The course enhances problem-solving abilities, particularly in data analysis and AI applications, equipping participants with up-to-date skills that address the evolving needs of the field. Furthermore, the course prepares participants to utilize and understand emerging technologies essential in today’s industrial environment.
To you who
- The course is primarily targeted at individuals working in the industrial sector or in fields where AI and IoT applications, as covered in the course, can add value. It is suitable for those looking to deepen their understanding of these technologies for practical, industry-relevant applications. While no programming skills are required, participants should possess strong computer literacy and troubleshooting abilities. This course is tailored for professionals rather than hobbyists, especially those with an interest in exploring how AI and IoT can address operational challenges and enhance data-driven decision-making.
Content
- Introduction to AI and IoT
- IoT Data Measurement and Transmission
- AI Techniques and Their Industrial Use Cases
- Problem-Solving and AI and IoT
- Experimenting with Emerging Technologies
Mode of Teaching and Methods
- Real-time online lectures
- Self-study learning materials
- Independently completed assignments
- Exercises completed independently
- Independently executed projects
Study Material
- Online materials (articles, works)
- Multimedia (video, podcast)
Assessment
- Pass/Fail
- Exercises
- Projects
Schedule and Location
- 3.2.2025 – 30.4.2025
- On weekday evenings (Mon–Thu after 4:00 PM)
- On weekends (Fri evening, Saturdays)
- Not time-bound
More information about the course
Thomas Vikström
Senior Lecturer
School of Technology | Energy and Environmental Technology
If you have any questions about student IDs, fees, or cancellation terms, please contact avoin@vamk.fi
We reserve the right to make changes.
AI & IOT for industry professionals
0,00 €
| 5 ECTS |
