Artificial Intelligence
Courses

Artificial Intelligence is one of the hottest professions of the decade, and the demand for data scientists who can analyze data, use AI solutions and present results to make data driven decisions has never been greater. These winter and summer courses will help anyone interested in AI to develop career-relevant skills in the most up-to-date engineering areas.
At the AGH University of Science and Technology in Cracow, Poland, one of the best technical universities in Europe we propose winter and summer courses that show how to use AI methods in the most up-to-date areas, including medicine, virtual reality, natural language analysis, autonomous vehicles, robotics, and HPC calculations. We offer three specialised courses that  are addressed to students of engineering/bachelor’s studies, master’s, doctoral students and young scientists. After attending the course you will get a certificate.

For most of the participants the courses will be online but we also offer 15 travel grants to join us and work with us together for one week.

Course I: Advanced artificial intelligence technologies in autonomous driving, healthcare and robotics

Day 1: Model interpretability and uncertainty assessment in computer vision tasks

Day  2: Embedded artificial intelligence and neuromorphic cameras in autonomous vehicles.

Day 3: Mixed reality in healthcare applications – new opportunities for surgery planning

Day  4: Reinforcement learning as a challenging task in robotics

Day  5: Artificial intelligence and autonomous vehicles in practice: how to use AI/ML techniques to solve control problems based on DuckiTown experimental platform of micro-traffic environment

Course II:  Advanced artificial intelligence technologies in Deep Learning and Natural Language Processing

Day  1: Introduction to Deep Learning.

Day  2: How to optimize neural network models.

Day  3: A practical guide to texts classification on Twitter.

Day  4: How to recognize names when you see it?

Day  5: Looking for understanding in text sequences.

Course III: Efficient usage of HPC systems in artificial intelligence and machine learning research

Day  1. Introduction to HPC systems

Day  2. Efficient usage of GPGPU and other HPC resources

Day  3: Efficient usage of Python on HPC systems

Day  4: Introduction to ML/AL usage on HPC

Day  5: ML/AL in Natural Language Processing on HPC

First edition of the courses: 30.01-03.02.2023
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