{"id":14832,"date":"2023-03-12T00:01:47","date_gmt":"2023-03-11T22:01:47","guid":{"rendered":"https:\/\/sait.vntu.edu.ua\/?page_id=14832"},"modified":"2023-03-26T11:24:25","modified_gmt":"2023-03-26T08:24:25","slug":"mizhnarodni-kursy","status":"publish","type":"page","link":"http:\/\/sait.vntu.edu.ua\/uk\/kafedra\/mizhnarodni-kursy\/","title":{"rendered":"\u041c\u0456\u0436\u043d\u0430\u0440\u043e\u0434\u043d\u0456 \u043a\u0443\u0440\u0441\u0438"},"content":{"rendered":"\t\t
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\u041d\u0430\u0437\u0432\u0430 \u043a\u0443\u0440\u0441\u0443<\/th>\u041c\u0456\u0441\u0446\u0435 \u0441\u0442\u0430\u0436\u0443\u0432\u0430\u043d\u043d\u044f, \u0430\u0431\u043e \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0430 \u043e\u043d-\u043b\u0430\u0439\u043d \u043a\u0443\u0440\u0441\u0443, \u0430\u0431\u043e \u043e\u0440\u0433\u0430\u043d\u0456\u0437\u0430\u0442\u043e\u0440 \u043a\u0443\u0440\u0441\u0456\u0432<\/th>\u041a\u0440\u0430\u0457\u043d\u0430<\/th>\u041f\u0406\u0411 \u0432\u0438\u043a\u043b\u0430\u0434\u0430\u0447\u0430<\/th>\n<\/tr>\n<\/thead>\n
US \u2013 Ukraine Cooperation for a Sustainable Future<\/td>University of Pittsburgh, Mascaro Center for Sustainable Innovation<\/td>\u0421\u0428\u0410<\/td>\u0421\u0435\u0440\u0433\u0456\u0439 \u0416\u0443\u043a\u043e\u0432<\/td>\n<\/tr>\n
US \u2013 Ukraine Cooperation for a Sustainable Future<\/td>University of Pittsburgh, Mascaro Center for Sustainable Innovation<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u044c\u0433\u0430 \u0412\u043e\u0439\u0446\u0435\u0445\u043e\u0432\u0441\u044c\u043a\u0430<\/td>\n<\/tr>\n
Tensorflow - Free Tensorflow Keras Bootcamp<\/td>OpenCV University<\/td>\u0421\u0428\u0410<\/td>\u0413\u0435\u043e\u0440\u0433\u0456\u0439 \u0413\u043e\u0440\u044f\u0447\u0435\u0432<\/td>\n<\/tr>\n
Courses: \u00abMagneto-rheological Materials and Their Potential Applications\u00bb, \u00abPerovskite solar cells: progress and advancements\u00bb, \u00abGenerative Artificial Intelligence\u00bb<\/td>Lanzhou University of Technology<\/td>\u041a\u0438\u0442\u0430\u0439<\/td>\u0421\u0435\u0440\u0433\u0456\u0439 \u0416\u0443\u043a\u043e\u0432<\/td>\n<\/tr>\n
Courses: \u00abMagneto-rheological Materials and Their Potential Applications\u00bb, \u00abPerovskite solar cells: progress and advancements\u00bb, \u00abGenerative Artificial Intelligence\u00bb<\/td>Lanzhou University of Technology<\/td>\u041a\u0438\u0442\u0430\u0439<\/td>\u0404\u0432\u0433\u0435\u043d\u0456\u0439 \u041a\u0440\u0438\u0436\u0430\u043d\u043e\u0432\u0441\u044c\u043a\u0438\u0439<\/td>\n<\/tr>\n
Courses: \u00abMagneto-rheological Materials and Their Potential Applications\u00bb, \u00abPerovskite solar cells: progress and advancements\u00bb, \u00abGenerative Artificial Intelligence\u00bb<\/td>Lanzhou University of Technology<\/td>\u041a\u0438\u0442\u0430\u0439<\/td>\u041e\u043b\u044c\u0433\u0430 \u0412\u043e\u0439\u0446\u0435\u0445\u043e\u0432\u0441\u044c\u043a\u0430<\/td>\n<\/tr>\n
Courses: \u00abMagneto-rheological Materials and Their Potential Applications\u00bb, \u00abPerovskite solar cells: progress and advancements\u00bb, \u00abGenerative Artificial Intelligence\u00bb<\/td>Lanzhou University of Technology<\/td>\u041a\u0438\u0442\u0430\u0439<\/td>\u0406\u043b\u043e\u043d\u0430 \u0412\u0430\u0440\u0447\u0443\u043a<\/td>\n<\/tr>\n
Courses: \u00abMagneto-rheological Materials and Their Potential Applications\u00bb, \u00abPerovskite solar cells: progress and advancements\u00bb, \u00abGenerative Artificial Intelligence\u00bb<\/td>Lanzhou University of Technology<\/td>\u041a\u0438\u0442\u0430\u0439<\/td>\u0412\u0430\u0441\u0438\u043b\u044c \u041f\u0440\u0438\u0441\u044f\u0436\u043d\u044e\u043a<\/td>\n<\/tr>\n
Courses: \u00abMagneto-rheological Materials and Their Potential Applications\u00bb, \u00abPerovskite solar cells: progress and advancements\u00bb, \u00abGenerative Artificial Intelligence\u00bb<\/td>Lanzhou University of Technology<\/td>\u041a\u0438\u0442\u0430\u0439<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Fundraising and organization of project activities in educational establishments: European experience<\/td>Jagiellonian University<\/td>\u041f\u043e\u043b\u044c\u0449\u0430<\/td>\u0413\u0435\u043e\u0440\u0433\u0456\u0439 \u0413\u043e\u0440\u044f\u0447\u0435\u0432<\/td>\n<\/tr>\n
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.<\/td>Anhalt University of Applied Sciences<\/td>\u041d\u0456\u043c\u0435\u0447\u0447\u0438\u043d\u0430<\/td>\u041e\u043b\u044c\u0433\u0430 \u0412\u043e\u0439\u0446\u0435\u0445\u043e\u0432\u0441\u044c\u043a\u0430<\/td>\n<\/tr>\n
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.<\/td>Anhalt University of Applied Sciences<\/td>\u041d\u0456\u043c\u0435\u0447\u0447\u0438\u043d\u0430<\/td>\u0404\u0432\u0433\u0435\u043d\u0456\u0439 \u041a\u0440\u0438\u0436\u0430\u043d\u043e\u0432\u0441\u044c\u043a\u0438\u0439<\/td>\n<\/tr>\n
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.<\/td>Anhalt University of Applied Sciences<\/td>\u041d\u0456\u043c\u0435\u0447\u0447\u0438\u043d\u0430<\/td>\u0421\u0435\u0440\u0433\u0456\u0439 \u0416\u0443\u043a\u043e\u0432<\/td>\n<\/tr>\n
Teaching and research in a contemporary university: trends, challenges and future direction<\/td>Univetsity of Bialystok, Faculty of Education<\/td>\u041f\u043e\u043b\u044c\u0449\u0430<\/td>\u0414\u043c\u0438\u0442\u0440\u043e \u0428\u043c\u0443\u043d\u0434\u044f\u043a<\/td>\n<\/tr>\n
Introduction to Machine Learning in Production<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Custom Models, Layers, and Loss Functions with TensorFlow<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Custom and Distributed Training with TensorFlow<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Sample-based Learning Methods<\/td>University of Alberta<\/td>\u041a\u0430\u043d\u0430\u0434\u0430<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
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)<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
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<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Advanced Deployment Scenarios with TensorFlow<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Data Pipelines with TensorFlow Data Services<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
TensorFlow: Data and Deployment Specialization<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
AWS Fundamentals: Going Cloud-Native<\/td>Amazon<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Device-based Models with TensorFlow Lite<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Browser-based Models with TensorFlow.js<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Fundamentals of Reinforcement Learning<\/td>University of Alberta<\/td>\u041a\u0430\u043d\u0430\u0434\u0430<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
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<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
How Google does Machine Learning<\/td>Google Cloud<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Neural Networks for Machine Learning<\/td>University of Toronto<\/td>\u041a\u0430\u043d\u0430\u0434\u0430<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
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<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Machine Learning<\/td>Stanford University<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
An Introduction to Interactive Programming in Python<\/td>Rice University<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Statistical Learning<\/td>Stanford University<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Autonomous Navigation for Flying Robots<\/td>Technical University of Munich<\/td>\u041d\u0456\u043c\u0435\u0447\u0447\u0438\u043d\u0430<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Creative, Serious and Playful Science of Android Apps<\/td>Coursera<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Computing for Data Analysis<\/td>Coursera<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Model Thinking<\/td>Coursera<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Genomic Medicine Gets Personal<\/td>Georgetown University <\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
AI for Medicine SPECIALIZATION: 1. AI for Medical Diagnosis. 2. AI for Medical Prognosis. 3. AI For Medical Treatment<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Supervised Machine Learning: Regression and Classification<\/td>Stanford University<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Solar Energy<\/td>Delft University of Technology<\/td>\u041d\u0456\u0434\u0435\u0440\u043b\u0430\u043d\u0434\u0438<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Solar Cells, Fuell Cells and Batteries<\/td>Stanford University<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Circuits and Electronics<\/td>Massachusetts Institute of Technology<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
An Introduction to Interactive Programming in Python<\/td>Rice University<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
The Data Scientist\u2019s Toolbox<\/td>Johns Hopkins University<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Getting and Cleaning Data<\/td>Johns Hopkins University<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Exploratory Data Analysis<\/td>Johns Hopkins University<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
R Programming<\/td>Johns Hopkins University<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Regression Models<\/td>Johns Hopkins University<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Deep Learning with Tensorflow<\/td>IBM<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Deep Learning Fundamentals with Keras<\/td>IBM<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)<\/td>DeepLearning.AI<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Predict Future Product Prices Using Facebook Prophet<\/td>Coursera<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Classification Trees in Python, Start To Finish<\/td>Coursera<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Perform Feature Analysis with Yellowbrick<\/td>Coursera<\/td>\u0421\u0428\u0410<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Education \u0440r\u043egr\u0430mm\u0435 \"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\"<\/td>University of Tartu, School of Economics and Business Administration<\/td>\u0415\u0441\u0442\u043e\u043d\u0456\u044f<\/td>\u0412\u0456\u0442\u0430\u043b\u0456\u0439 \u041c\u043e\u043a\u0456\u043d<\/td>\n<\/tr>\n
Education \u0440r\u043egr\u0430mm\u0435 \"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\"<\/td>University of Tartu, School of Economics and Business Administration<\/td>\u0415\u0441\u0442\u043e\u043d\u0456\u044f<\/td>\u0404\u0432\u0433\u0435\u043d\u0456\u0439 \u041a\u0440\u0438\u0436\u0430\u043d\u043e\u0432\u0441\u044c\u043a\u0438\u0439<\/td>\n<\/tr>\n
Education \u0440r\u043egr\u0430mm\u0435 \"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\"<\/td>University of Tartu, School of Economics and Business Administration<\/td>\u0415\u0441\u0442\u043e\u043d\u0456\u044f<\/td>\u0421\u0435\u0440\u0433\u0456\u0439 \u0416\u0443\u043a\u043e\u0432<\/td>\n<\/tr>\n
Education \u0440r\u043egr\u0430mm\u0435 \"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\"<\/td>University of Tartu, School of Economics and Business Administration<\/td>\u0415\u0441\u0442\u043e\u043d\u0456\u044f<\/td>\u041c\u0438\u0445\u0430\u0439\u043b\u043e \u0414\u0440\u0430\u0442\u043e\u0432\u0430\u043d\u0438\u0439<\/td>\n<\/tr>\n
New and innovative teaching methods. The system of higher education in Europe<\/td>University of Economics in Krakow<\/td>\u041f\u043e\u043b\u044c\u0449\u0430<\/td>\u0421\u0435\u0440\u0433\u0456\u0439 \u0416\u0443\u043a\u043e\u0432<\/td>\n<\/tr>\n
Information technology of data analysis and process modeling<\/td>Lublin University of Technology<\/td>\u041f\u043e\u043b\u044c\u0449\u0430<\/td>\u0406\u043b\u043e\u043d\u0430 \u0412\u0430\u0440\u0447\u0443\u043a<\/td>\n<\/tr>\n
IBM Data Science Bootcamp<\/td>IBM<\/td>\u0421\u0428\u0410<\/td>\u0406\u043b\u043e\u043d\u0430 \u0412\u0430\u0440\u0447\u0443\u043a<\/td>\n<\/tr>\n
Qlik Sense Essential Training<\/td>LinkedIn Learning<\/td>\u0421\u0428\u0410<\/td>\u041e\u043b\u0435\u043a\u0441\u0456\u0439 \u041a\u043e\u0437\u0430\u0447\u043a\u043e<\/td>\n<\/tr>\n
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<\/td>Lublin University of Technology<\/td>\u041f\u043e\u043b\u044c\u0449\u0430<\/td>\u0414\u043c\u0438\u0442\u0440\u043e \u041f\u0440\u043e\u0446\u0435\u043d\u043a\u043e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

\u041c\u0456\u0436\u043d\u0430\u0440\u043e\u0434\u043d\u0456 \u043a\u0443\u0440\u0441\u0438  <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":10593,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_eb_attr":"","_EventAllDay":false,"_EventTimezone":"","_EventStartDate":"","_EventEndDate":"","_EventStartDateUTC":"","_EventEndDateUTC":"","_EventShowMap":false,"_EventShowMapLink":false,"_EventURL":"","_EventCost":"","_EventCostDescription":"","_EventCurrencySymbol":"","_EventCurrencyCode":"","_EventCurrencyPosition":"","_EventDateTimeSeparator":"","_EventTimeRangeSeparator":"","_EventOrganizerID":[],"_EventVenueID":[],"_OrganizerEmail":"","_OrganizerPhone":"","_OrganizerWebsite":"","_VenueAddress":"","_VenueCity":"","_VenueCountry":"","_VenueProvince":"","_VenueState":"","_VenueZip":"","_VenuePhone":"","_VenueURL":"","_VenueStateProvince":"","_VenueLat":"","_VenueLng":"","_VenueShowMap":false,"_VenueShowMapLink":false,"footnotes":""},"class_list":["post-14832","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/sait.vntu.edu.ua\/uk\/wp-json\/wp\/v2\/pages\/14832","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/sait.vntu.edu.ua\/uk\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/sait.vntu.edu.ua\/uk\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/sait.vntu.edu.ua\/uk\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/sait.vntu.edu.ua\/uk\/wp-json\/wp\/v2\/comments?post=14832"}],"version-history":[{"count":13,"href":"http:\/\/sait.vntu.edu.ua\/uk\/wp-json\/wp\/v2\/pages\/14832\/revisions"}],"predecessor-version":[{"id":17331,"href":"http:\/\/sait.vntu.edu.ua\/uk\/wp-json\/wp\/v2\/pages\/14832\/revisions\/17331"}],"up":[{"embeddable":true,"href":"http:\/\/sait.vntu.edu.ua\/uk\/wp-json\/wp\/v2\/pages\/10593"}],"wp:attachment":[{"href":"http:\/\/sait.vntu.edu.ua\/uk\/wp-json\/wp\/v2\/media?parent=14832"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}