Hotel AGAT, Wojska Polskiego 118, Piotrków Trybunalski, Poland, 97 - 300
Piotrków Trybunalski
Explore Our Courses
Applied AI from Scratch in Python
28 HoursFrom Zero to AI
35 HoursApplied AI from Scratch
28 HoursApplied Machine Learning
14 HoursPattern Recognition
21 HoursNeural computing – Data science
14 HoursNeural Network in R
14 HoursUnderstanding Deep Neural Networks
35 HoursLast Updated:
Testimonials (7)
Great contact with participants, practical knowledge which is highly valued. Adjustment of pace / speed. A huge plus, a mega-positive instructor, it's a shame that the training lasted only 2 days.
Marcin Mikielewicz - TECNOBIT SLU
Course - Introduction Deep Learning & Réseaux de neurones pour l’ingénieur
Machine Translated
The trainer was a professional in the subject field and related theory with application excellently
Fahad Malalla - Tatweer Petroleum
Course - Applied AI from Scratch in Python
The instructors have extensive theoretical and practical knowledge. The instructors are communicative. During the course, participants could ask questions and receive satisfying answers.
Kamil Kurek - ING Bank Slaski S.A.; Kamil Kurek Programowanie
Course - Understanding Deep Neural Networks
Machine Translated
I liked the new insights in deep machine learning.
Josip Arneric
Course - Neural Network in R
Trainer explained complex and advanced topics very clearly.
Leszek K
Course - Artificial Intelligence Overview
Machine Translated
Ann created a great environment to ask questions and learn. We had a lot of fun and also learned a lot at the same time.
Gudrun Bickelq
Course - Introduction to the use of neural networks
It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.