| US – Ukraine Cooperation for a Sustainable Future | University of Pittsburgh, Mascaro Center for Sustainable Innovation | США | Сергій Жуков |
| US – Ukraine Cooperation for a Sustainable Future | University of Pittsburgh, Mascaro Center for Sustainable Innovation | США | Ольга Войцеховська |
| Tensorflow - Free Tensorflow Keras Bootcamp | OpenCV University | США | Георгій Горячев |
| Courses: «Magneto-rheological Materials and Their Potential Applications», «Perovskite solar cells: progress and advancements», «Generative Artificial Intelligence» | Lanzhou University of Technology | Китай | Сергій Жуков |
| Courses: «Magneto-rheological Materials and Their Potential Applications», «Perovskite solar cells: progress and advancements», «Generative Artificial Intelligence» | Lanzhou University of Technology | Китай | Євгеній Крижановський |
| Courses: «Magneto-rheological Materials and Their Potential Applications», «Perovskite solar cells: progress and advancements», «Generative Artificial Intelligence» | Lanzhou University of Technology | Китай | Ольга Войцеховська |
| Courses: «Magneto-rheological Materials and Their Potential Applications», «Perovskite solar cells: progress and advancements», «Generative Artificial Intelligence» | Lanzhou University of Technology | Китай | Ілона Варчук |
| Courses: «Magneto-rheological Materials and Their Potential Applications», «Perovskite solar cells: progress and advancements», «Generative Artificial Intelligence» | Lanzhou University of Technology | Китай | Василь Присяжнюк |
| Courses: «Magneto-rheological Materials and Their Potential Applications», «Perovskite solar cells: progress and advancements», «Generative Artificial Intelligence» | Lanzhou University of Technology | Китай | Віталій Мокін |
| Fundraising and organization of project activities in educational establishments: European experience | Jagiellonian University | Польща | Георгій Горячев |
| Digital Future: Blended Learning: 1. Methodological Aspects of the Organization of Blended Learning; 2. Digital Technologies of Communication and Collaboration; 3. Digital Tools for Creating Digital Educational Content; 4. Artificial Intelligence Technologies in the Professional Activity of a Higher Education Institution Faculty. | Anhalt University of Applied Sciences | Німеччина | Ольга Войцеховська |
| Digital Future: Blended Learning: 1. Methodological Aspects of the Organization of Blended Learning; 2. Digital Technologies of Communication and Collaboration; 3. Digital Tools for Creating Digital Educational Content; 4. Artificial Intelligence Technologies in the Professional Activity of a Higher Education Institution Faculty. | Anhalt University of Applied Sciences | Німеччина | Євгеній Крижановський |
| Digital Future: Blended Learning: 1. Methodological Aspects of the Organization of Blended Learning; 2. Digital Technologies of Communication and Collaboration; 3. Digital Tools for Creating Digital Educational Content; 4. Artificial Intelligence Technologies in the Professional Activity of a Higher Education Institution Faculty. | Anhalt University of Applied Sciences | Німеччина | Сергій Жуков |
| Teaching and research in a contemporary university: trends, challenges and future direction | Univetsity of Bialystok, Faculty of Education | Польща | Дмитро Шмундяк |
| Introduction to Machine Learning in Production | DeepLearning.AI | США | Олександр Мокін |
| Custom Models, Layers, and Loss Functions with TensorFlow | DeepLearning.AI | США | Олександр Мокін |
| Custom and Distributed Training with TensorFlow | DeepLearning.AI | США | Олександр Мокін |
| Sample-based Learning Methods | University of Alberta | Канада | Олександр Мокін |
| Generative Adversarial Networks (GANs) SPECIALIZATION: 1. Build Basic Generative Adversarial Networks (GANs). 2. Build Better Generative Adversarial Networks (GANs). 3. Apply Generative Adversarial Networks (GANs) | DeepLearning.AI | США | Олександр Мокін |
| Natural Language Processing SPECIALIZATION: 1. Natural Language Processing with Classification and Vector Spaces. 2. Natural Language Processing with Probabilistic Models. 3. Natural Language Processing with Sequence Models. 4. Natural Language Processing with Attention Models | DeepLearning.AI | США | Олександр Мокін |
| Advanced Deployment Scenarios with TensorFlow | DeepLearning.AI | США | Олександр Мокін |
| Data Pipelines with TensorFlow Data Services | DeepLearning.AI | США | Олександр Мокін |
| TensorFlow: Data and Deployment Specialization | DeepLearning.AI | США | Олександр Мокін |
| AWS Fundamentals: Going Cloud-Native | Amazon | США | Олександр Мокін |
| Device-based Models with TensorFlow Lite | DeepLearning.AI | США | Олександр Мокін |
| Browser-based Models with TensorFlow.js | DeepLearning.AI | США | Олександр Мокін |
| Fundamentals of Reinforcement Learning | University of Alberta | Канада | Олександр Мокін |
| TensorFlow in Practice SPECIALIZATION: 1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. 2. Convolutional Neural Networks in TensorFlow. 3. Natural Language Processing in TensorFlow. 4. Sequences, Time Series and Prediction | DeepLearning.AI | США | Олександр Мокін |
| How Google does Machine Learning | Google Cloud | США | Олександр Мокін |
| Neural Networks for Machine Learning | University of Toronto | Канада | Олександр Мокін |
| Deep Learning SPECIALIZATION: 1. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. 2. Structuring Machine Learning Projects. 3. Neural Networks and Deep Learning. 4. Sequence Models. 5. Convolutional Neural Networks | DeepLearning.AI | США | Олександр Мокін |
| Machine Learning | Stanford University | США | Олександр Мокін |
| An Introduction to Interactive Programming in Python | Rice University | США | Олександр Мокін |
| Statistical Learning | Stanford University | США | Олександр Мокін |
| Autonomous Navigation for Flying Robots | Technical University of Munich | Німеччина | Олександр Мокін |
| Creative, Serious and Playful Science of Android Apps | Coursera | США | Олександр Мокін |
| Computing for Data Analysis | Coursera | США | Олександр Мокін |
| Model Thinking | Coursera | США | Олександр Мокін |
| Genomic Medicine Gets Personal | Georgetown University | США | Олександр Мокін |
| AI for Medicine SPECIALIZATION: 1. AI for Medical Diagnosis. 2. AI for Medical Prognosis. 3. AI For Medical Treatment | DeepLearning.AI | США | Олександр Мокін |
| Supervised Machine Learning: Regression and Classification | Stanford University | США | Олександр Мокін |
| Solar Energy | Delft University of Technology | Нідерланди | Олександр Мокін |
| Solar Cells, Fuell Cells and Batteries | Stanford University | США | Олександр Мокін |
| Circuits and Electronics | Massachusetts Institute of Technology | США | Олександр Мокін |
| An Introduction to Interactive Programming in Python | Rice University | США | Віталій Мокін |
| The Data Scientist’s Toolbox | Johns Hopkins University | США | Віталій Мокін |
| Getting and Cleaning Data | Johns Hopkins University | США | Віталій Мокін |
| Exploratory Data Analysis | Johns Hopkins University | США | Віталій Мокін |
| R Programming | Johns Hopkins University | США | Віталій Мокін |
| Regression Models | Johns Hopkins University | США | Віталій Мокін |
| Deep Learning with Tensorflow | IBM | США | Віталій Мокін |
| Deep Learning Fundamentals with Keras | IBM | США | Віталій Мокін |
| Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera) | DeepLearning.AI | США | Віталій Мокін |
| Predict Future Product Prices Using Facebook Prophet | Coursera | США | Віталій Мокін |
| Classification Trees in Python, Start To Finish | Coursera | США | Віталій Мокін |
| Perform Feature Analysis with Yellowbrick | Coursera | США | Віталій Мокін |
| Education рrоgrаmmе "Teaching Entrepreneurship at University". Project "Development of innovative capacity and entrepreneurial competence of Ukrainian universities: sharing best practice of Estonia (UnivEntre)". Course "Innovative entrepreneurship and startup project management" | University of Tartu, School of Economics and Business Administration | Естонія | Віталій Мокін |
| Education рrоgrаmmе "Teaching Entrepreneurship at University". Project "Development of innovative capacity and entrepreneurial competence of Ukrainian universities: sharing best practice of Estonia (UnivEntre)". Course "Innovative entrepreneurship and startup project management" | University of Tartu, School of Economics and Business Administration | Естонія | Євгеній Крижановський |
| Education рrоgrаmmе "Teaching Entrepreneurship at University". Project "Development of innovative capacity and entrepreneurial competence of Ukrainian universities: sharing best practice of Estonia (UnivEntre)". Course "Innovative entrepreneurship and startup project management" | University of Tartu, School of Economics and Business Administration | Естонія | Сергій Жуков |
| Education рrоgrаmmе "Teaching Entrepreneurship at University". Project "Development of innovative capacity and entrepreneurial competence of Ukrainian universities: sharing best practice of Estonia (UnivEntre)". Course "Innovative entrepreneurship and startup project management" | University of Tartu, School of Economics and Business Administration | Естонія | Михайло Дратований |
| New and innovative teaching methods. The system of higher education in Europe | University of Economics in Krakow | Польща | Сергій Жуков |
| Information technology of data analysis and process modeling | Lublin University of Technology | Польща | Ілона Варчук |
| IBM Data Science Bootcamp | IBM | США | Ілона Варчук |
| Qlik Sense Essential Training | LinkedIn Learning | США | Олексій Козачко |
| Use of new knowledge in the development of technologies in the field of research of image processing, machine learning, deep learning, artificial intelligence, development, research and application of information systems and technologies in the energy system | Lublin University of Technology | Польща | Дмитро Проценко |
