UNIVERSITY OF ARTIFICIAL INTELLIGENCE
We teach to work with neural networks and solve any tasks related to artificial intelligence.
We teach you how to work with neural networks
With us you can learn from scratch all the topics related to artificial intelligence and learn to solve problems of any complexity
Our training format:
Practice makes perfect!
Practice makes perfect!
From the first day of training with us you will write neural networks and solve real problems
- In the sessions, we give all the necessary neural network theory, and you ask the presenter questions. You'll always have access to a record of the youtube stream
- After each lesson you receive a practical task, and at the end of each lesson you receive a check and feedback from the curator
- Many participants come to the course with a real project from work or their own project, you can solve your task as part of the course. You may have time to work through it in meetings with the curators and choose it as your diploma thesis
- Python sessionsYou don't need to know programming to study on the course. We'll give you all the Python fundamentals you need
- InternshipAfter several months of training, you will be able to intern with our partner companies as well as with our team. Most companies, in case of a successful internship, will make you an offer for a permanent position.
- Neural network competitionsDuring your training you will have the opportunity to participate in our internal neural network competition, compete with your peers and see your real results.
You will learn how to solve all the main problems of artificial intelligence
99% of practical business or research tasks fall into one of five categories
Image recognition, image processing
Identification of images, faces and emotions, autopilots of cars (Tesla and others), detection of moving objects, handwritten text recognition, age determination by photo, identification of human character traits by photo
Text processing, working with language tasks
Determining the emotional coloring of a text, categorizing articles, determining the demand for a product or service on social media tapes, typing a person's sociotype by text, translation from one language to another, determining the artistic level of a text
Speech Recognition, audio signal processing
Text recognition by speech ("OK, Google"), voice recognition of emotions, detection of conflict conversations in call center calls, voice recognition of an announcer by voice, verification of telephone entrance by voice to exclude fraud, recognition of song style and selection of similar style songs based on the existing playlist
Time signal prediction, regression
Bots that trade on Forex, weather forecasters, real estate value prediction based on a number of parameters (area of the object, area, features of infrastructure, presence of natural objects, etc.), evaluation of chemical reactions, risk assessment of loans, assessment of the terms of the model project implementation
Machine art
Voice generation, image style transfer (like Prisma), photo generation with conditions (e.g. man 33 years old wearing glasses), generation of handwritten numbers or handwritten text with certain handwriting, writing poems and songs, creating a text description for the picture, writing music, transfer of dance style to the photo of a specific person
Take a look at examples of our neural network sessions
"Session 1. Introduction to neural networks"
The first lesson on neural networks is an introduction to the niche, the path of the developer in the field of machine learning, the mathematical model of a neuron, the principles of learning a neural network and learning the first neural network by the example of number recognition.
Code demonstration in Google Colaboratory
Code demonstration in Google Colaboratory
"Fully connected networks, training and test samples"
The second topic, key to the training of neural networks, is training and test samples, the definition of the quality of training of the neural network. We will analyze the topic on the example of handwritten digit recognition.
Take a look at examples of our Python sessions
"Python syntax"
Introduction to the basics of language. Standard functions, operations, variables and types, type conversion; basic structures, loops, etc.
"NumPy arrays"
Introduction to functions; np.ndarray structure; data types, one-dimensional and multidimensional arrays, vector operations, indexing, two-dimensional array operations and built-in methods, matrix operations, file reading, etc.
We train developers from all over Russia and the CIS countries
We focus on the remote learning format,
and all the assignments and lessons designed for this purpose
and all the assignments and lessons designed for this purpose
Our materials have already been downloaded by 40,000 developers
The numbers are growing by 200-300 people every day
Screenshot from the Sendpulse email service
Founder of the University of Artificial Intelligence
Dmitry Romanov
Founder of the University
"Data science and neural networks" course teacher
"Data science and neural networks" course teacher
✓ 8 years experience in artificial intelligence development;
✓ Created Russia's first neurocomputer interface;
✓ Has implemented more than 10 projects in the field of artificial intelligence;
✓ Key project - Neural Computer Interface, text input with thoughts.
(Report by Vesti Channel, 2008)
✓ Winner of innovation forums;
✓ Published at the leading conference on neural networks "Neuroinformatics".
✓ Created Russia's first neurocomputer interface;
✓ Has implemented more than 10 projects in the field of artificial intelligence;
✓ Key project - Neural Computer Interface, text input with thoughts.
(Report by Vesti Channel, 2008)
✓ Winner of innovation forums;
✓ Published at the leading conference on neural networks "Neuroinformatics".
Teachers of the University of Artificial Intelligence
Dmitry Ermilov
Education: Moscow State University, Faculty of Mechanics and Mathematics,
PhD in physics and mathematics.
Additional education in machine learning:
- Introduction to machine learning, Higher School of Economics.
- Machine learning, Stanford University.
- Machine learning and data analysis, MIPT.
Experience and projects: More than 4 years experience in machine learning, participated in the development of various projects from the developer to team-lead. Among the projects: creation of an intelligent system for filtering files in a loaded stream, identification of objects in images, word recognition in audio files, development of a model of "smart" data processing of one company.
PhD in physics and mathematics.
Additional education in machine learning:
- Introduction to machine learning, Higher School of Economics.
- Machine learning, Stanford University.
- Machine learning and data analysis, MIPT.
Experience and projects: More than 4 years experience in machine learning, participated in the development of various projects from the developer to team-lead. Among the projects: creation of an intelligent system for filtering files in a loaded stream, identification of objects in images, word recognition in audio files, development of a model of "smart" data processing of one company.
Gerard Kostin
"Integration of AI solutions in production" course teacher
✓ Extensive experience in solving problems using ML methods in the following areas:
- telecommunications
- banking sector
- internet service providers
- industrial firms
- e-commerce.
✓ Practical experience of working with large data (clusters from 5 Pb).
✓ During his career in the field of Data Science he launched these directions from scratch in such companies as MTS and Rostelecom.
✓ Worked with US Silicon Valley and EU companies.
- telecommunications
- banking sector
- internet service providers
- industrial firms
- e-commerce.
✓ Practical experience of working with large data (clusters from 5 Pb).
✓ During his career in the field of Data Science he launched these directions from scratch in such companies as MTS and Rostelecom.
✓ Worked with US Silicon Valley and EU companies.
Our team
The company employs more than 60 people, more than 8 years of experience in education organization
- Dmitry RomanovOwner
Moscow - Ilya RomanovCEO
Moscow - Gerard KostinCourse curator
Innsbruck, Austria - Vladimir GolovachevCourse curator
Moscow - Dmitry ErmilovCourse curator
Moscow - Leonid OrlovCourse curator
Perm - Andrey RudnitskyCourse curator
Moscow - Stanislav BatururimiCourse curator
Moscow - Maria KorlyakovaCourse curator
Kaluga - Oleg KonorevCourse curator
Moscow - Sergey KuzinAI developer-methodologist
Penza - Marat KhaidarovAI developer-methodologist
Kazan - Konstantin SlepovAI developer-methodologist
Saint Petersburg - Darya MerkulovaHead of sales
Kaluga - Dmitry NaumenkoHead of HR
Krasnodar - Alexandra SuvalkinaHead of training organization
Alta, Norway - Artem MolotovDeveloper-programmer
Ivano-Frankivsk, Ukraine - Sergey RyabovCustomer service manager
Moscow - Victoria PolshikovaCustomer service manager
Belgorod - Stanislav BratusCustomer service manager
Saint Petersburg - Ekaterina TatkovaCustomer service manager
Kursk - Andrey SemenovCustomer service manager
Sochi - Artem KosaretskyCustomer service manager
Moscow - Tatyana GordeevaCustomer service manager
Perm - Ilya MeleshkinCustomer service manager
Arzamas - Yulia FrolovaCustomer service manager
Lipetsk - Mikhail PakhomychevCustomer service manager
Moscow - Larisa AndriyanovaCustomer service manager
Vyatskiye Polyany - Artem Voronov-GashevCustomer service manager
Sochi - Elena YakovlevaKey account manager
Volgograd - Ilya VitkovskyCustomer service manager
Saint Petersburg - Elena MuratovaCustomer service manager
Belovo - Arkadiy OmelchenkoCustomer service manager
Cherkassy - Svyatoslav PopkoCustomer service manager
Ufa - Daniyal KasumbekovCustomer service manager
Saint Petersburg - Tatyana IzosimovaCustomer service manager
Novorossijsk - Pavel KorchigoCustomer service manager
Velikiy Novgorod - Elena VoltmanAssistant manager
- Irina SeverovaTraining coordinator
Saint Petersburg - Lyubov NikolaevaAssistant head of HR
Biysk
You will get a diploma
As a result of your training, you will receive a standard certificate of retraining
INTERNSHIP
After several months of training, you will be able to intern with our partner companies as well as with our team. In each company the internship will be arranged in its own way, most companies, in case of a successful internship, will make you an offer for a permanent position
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