IoT & AI Spring School
Course
In Zagreb (Croatia)
Description
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Type
Course
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Location
Zagreb (Croatia)
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Class hours
60h
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Duration
2 Weeks
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Start date
May
Are you a creative and curious person interested in the world of digital technologies?
Would you be interested in spending two weeks in May learning all about the latest technological breakthroughs at a leading educational institution while adding new skills to your CV?
If you see yourself in the above description, then Algebra’s IoT & AI Spring School is the right choice for you!
A challenging and cutting-edge course awaits you at Algebra University College, where you will master new knowledge and skills in the field of Internet of Things and artificial intelligence.
Now that you know the perfect formula for an innovative spring, it is time to send us your application and join Algebra’s IoT & AI Spring School!
Important information
Documents
- Student lifestyle.pdf
Government funding available
Facilities
Location
Start date
Start date
About this course
- Learn the basics of IoT architectures and their application
- Develop a software for an IoT robot that can autonomously drive, collect and send telemetry data using standard network protocols
- Learn the basics of computer vision and machine learning by way of their application to the issue of autonomous driving, recognition of signs and obstacles
- Develop a cloud service that can collect and visualize telemetry data
The prerequisite for a successful participation in the program is knowledge of the basics of programming in any programming language, preferably Python or similar.
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Subjects
- Artificial Intelligence
- Internet
- Communication Training
- IT
- IT Management
- Computing
- Computer Programming
- Systems Administration
- Management
- IoT
Teachers and trainers (2)
Tomislav Ražov
Associate lecturer
Zvonimir Anić
Associate lecturer
Course programme
INTERNET OF THINGS AND ARTIFICIAL INTELLIGENCE: IoT system for autonomous driving using computer vision and artificial intelligence
- 6 ECTS
The subject of this course is the development of IoT systems for autonomous driving and data collection by way of computer vision using machine learning methods. In order to successfully develop this IoT system, a small robot on wheels equipped with a camera, a local image processing unit, a communication module and a control module will be used. Using the camera, the robot will be able to follow the track, recognize signs and obstacles.
The aim of the course is to familiarize participants with the technologies, concepts and architectures necessary for the implementation of IoT systems that use artificial intelligence in IoT devices, as well as to motivate participants to actively take part in the design and implementation of the most efficient IoT system for autonomous driving.
Participants will learn the basics of embedded technologies, the main IoT related concepts, relevant communication protocols and standards used in industry. Special emphasis will be placed on the application of artificial intelligence in IoT devices for local processing, off-loading communication and servers. Simultaneously, participants will go through the basic concepts of artificial intelligence as well as the relevant libraries and development environments used for its implementation.
Topics:- Introduction to IoT and embedded systems
- Design principles of IoT architecture
- Programming Raspberry Pi in Python
- Use of MQTT and HTTP protocols on Raspberry Pi
- Basics of computer vision and image processing using OpenCV in Python
- Introduction to artificial intelligence with an emphasis on devices with limited resources (edge and IoT)
- Application of artificial intelligence to image processing, machine learning, deep learning
- Building a REST API in cloud for storing telemetry data in a database
- Building a web interface for telemetry data visualization in cloud
Additional information
IoT & AI Spring School