Full immersion in the field
From the first days, you work on real problems. We do not “chew” the material, but explain it through practice. This allows you to not only learn the syntax, but also understand the essence of the processes.
Personalized learning
Each student receives individual support. Small groups and mentoring from practicing specialists provide feedback and support at every stage.
Practice, not dry theory
We have a minimum of “water” and a maximum of useful knowledge. All courses are built around practical cases: you develop applications, solve algorithmic problems, complete projects both in the portfolio and in real life.
Current areas
We do not teach what is already outdated. All courses are focused on in-demand skills and modern technologies. Constant updates and working with feedback from the industry are our norm.
Who are our courses for?
Beginners who have never encountered code but want to start a career in IT.
Those who have changed their profession and want to move into the technology field.
Students who do not have enough knowledge from university.
Working professionals who want to master a new direction or advance their career.
Freelancers who want to improve their skills and expand their list of orders.
What we offer: 4 new areas
Development of artificial intelligence and machine learning
This area is for those who want to look into the future. Here you study:
Supervised and unsupervised learning algorithms.
The principles of neural networks, their construction and training.
Using Python libraries: TensorFlow, Keras, PyTorch.
Processing large data sets, working with pandas and NumPy.
Solving applied problems: analyzing images, speech, text.
Why is it important:
AI and ML are used in every field today, from medicine to banks. This is not just a trendy trend, but the basis for a technological breakthrough in the coming years. With such skills, you become a highly valuable specialist.
Cloud solutions development and DevOps
You will master:
Work with AWS, Google Cloud, Azure.
Containerization with Docker and orchestration with Kubernetes.
Continuous integration and deployment (CI/CD).
Configuring DevOps processes and testing automation.
Monitoring, logging, security and scaling.
What does it give:
Companies are moving to the cloud — quickly, en masse and irreversibly. The ability to develop and maintain cloud applications gives you direct access to large projects, startups and corporations.
Cybersecurity and data protection
You will learn:
Identify and eliminate vulnerabilities.
Work with cryptographic algorithms.
Build a secure architecture for applications and networks.
Understand threat models and risk assessments.
Use tools for ethical hacking.
Why is it necessary:
The number of cyberattacks is growing every year. Companies are looking for specialists who can not only protect systems, but also predict possible threats. This area is suitable for both beginners and experienced administrators and developers.
UX/UI design and Frontend development
This course is a synthesis of design and code. You will:
Learn the principles of user interface design.
Master design systems, prototyping and Figma tools.
Learn to adapt the design to real browsers and devices.
You will layout websites from scratch: HTML, CSS, JavaScript.
Master React and other modern frameworks.
Benefit:
A frontend developer with a design mindset is rare and valuable. This course is ideal for visual and creative people who want to combine aesthetics and technology.
Development of Artificial Intelligence and Machine Learning
What you will learn:
In this track, you will gain fundamental and practical knowledge on creating intelligent systems that learn from data and are capable of making decisions. The program covers:
Supervised and unsupervised learning algorithms: linear regression, decision trees, clustering, neural networks.
Fundamentals of deep learning: convolutional and recurrent neural networks, generative models.
Practice with leading Python libraries: TensorFlow, Keras, PyTorch — tools that are used today by Google, Meta and OpenAI.
Working with data arrays: master pandas, NumPy, Scikit-learn — the bare minimum for any data scientist.
Projects in applied fields: image analysis (face recognition, medical images), speech analysis (voice recognition), text processing (chatbots, spam filtering, content generation).
Where AI and machine learning are used:
Medicine: automatic diagnostics of diseases, MRI image processing, personalized treatment.
Financial sector: risk forecasting, algorithmic trading, fraud detection.
Retail and e-commerce: recommender systems, demand forecasting, intelligent search.
Marketing: user behavior analysis, automatic audience segmentation.
Government services: smart cities, traffic data analysis, document automation.
Who can you work as:
Data Scientist
Machine Learning Engineer
AI Developer
Specialist in computer vision or natural language processing
Why this education is especially valuable:
AI is not just a trend, but the technological basis of the future. The need for specialists is growing exponentially. Companies are investing billions in the development of intelligent systems. Specialists with a deep understanding of algorithms and practice are the elite of the modern IT industry.
Cybersecurity and Data Protection
What you will learn:
This course prepares professionals who can provide comprehensive protection for digital infrastructure:
Identifying vulnerabilities in code, networks, and systems.
Using encryption methods and cryptographic protocols.
Securing web applications and databases.
Analyzing threat models, assessing risks, creating security policies.
Using tools for ethical hacking (penetration testing): Kali Linux, Metasploit, Wireshark.
Where cybersecurity is used:
Banking and finance: protecting online banking, preventing hacks and data theft.
Government agencies and defense departments: protecting critical infrastructure.
Education, medicine, e-commerce: compliance with privacy and legislation (GDPR, HIPAA, etc.).
IT companies and startups: secure product development from the first stages.
What you can work as:
Information Security Engineer
Threat Analyst
Ethical Hacker (pentester)
Security DevOps Engineer
Compliance Officer
The Importance of the Profession:
Today, the world is on the brink of a cyber war. Hackers attack everything from small businesses to power plants. Companies suffer from data leaks and reputational losses. Security is not an additional option, but a mandatory component of any digital system. Qualified security specialists are in demand all over the world and receive high salaries.
Cloud Solution Development and DevOps
What you will learn:
This area combines development and operation, process automation, and management of scalable applications:
Working with cloud platforms: AWS, Google Cloud Platform, Microsoft Azure.
Containerization of applications with Docker, cluster management with Kubernetes.
CI/CD — continuous integration and delivery: Jenkins, GitLab CI, GitHub Actions.
Test automation, monitoring, logging.
Working with microservice architecture, cloud security.
Where DevOps and cloud solutions are used:
Startups: rapid MVP development, release automation.
Large corporations: flexible scaling and infrastructure deployment.
Media services and streaming platforms: supporting millions of users online.
Fintech and banks: fault-tolerant and secure environments for applications.
Gaming industry: server part of games, scaling for load.
Who can you work as:
DevOps engineer
Cloud engineer
Site Reliability Engineer (SRE)
Infrastructure automation engineer
Cloud solutions architect
Why is it important:
The world is moving to the cloud. 90% of companies are already using cloud technologies or are in the process of migrating. DevOps engineers become the backbone of the team – they ensure stability, scalability and security. This direction is ideal for those who want to be at the intersection of development and infrastructure and earn high income.
UX/UI design and Frontend development
What you will learn:
This direction combines the aesthetics of design and technical skills of web development. The program includes:
Designing interfaces taking into account usability and user scenarios.
Using Figma, creating design systems and interactive prototypes.
Layout: HTML, CSS (including Grid and Flexbox), adaptive and cross-browser layout.
Basics of JavaScript programming.
Working with frameworks: React, Vue.js, Tailwind CSS.
Creating single-page applications (SPA), animations, responsive interfaces.
Where UX/UI and frontend are used:
Website and application development: from landing pages to e-commerce and SaaS.
Mobile application design: prototyping and transfer to development.
Startups and agencies: fast MVPs, design without unnecessary iterations.
Marketing: creating attractive and converting landing pages.
Education, culture, medicine: convenient digital products.
Who you can work as:
Frontend developer
UX/UI designer
Product designer
Interface engineer
Web designer with layout skills
Why is it necessary:
Digital products become the face of business. The user deletes the application if it is inconvenient, and leaves the site if the design is annoying. Companies are ready to pay for a high-quality interface that leads to sales. A specialist who understands both code and design is especially valuable because he speaks the language of both developers and users. This direction is ideal for those who value aesthetics, logic and want to see the result of their work in the browser of millions of people.
Student Reviews
“Before the course, I worked in marketing and did not understand how to use data in real work. Thanks to Irina, I learned how to build funnels, run A/B tests and literally “see” problems in the product. Just a month after completing the course, I received an offer from a fintech startup.”
Artem V
“Learning from Alexander is a pleasure. Lots of practice, tons of feedback, and no boring theory. In 2 months, I made my first mini-game and realized that I wanted to do game development professionally. This was my path to a new profession!”
Svetlana M
“Daria is a super teacher. Presents the material clearly, answers all questions and gives really cool tasks. Thanks to the course, I put together a portfolio, learned how to deploy projects and now I’m already taking freelance orders. Huge thanks!”
Denis R
Join us! It will only take a minute
Learning is not only knowledge, but also communication with like-minded people. We maintain an atmosphere of cooperation, exchange experiences and inspire each other to new achievements. Regular hackathons, meetings with experts and joint projects make the learning process lively and dynamic.
Our team
Teachers
Irina C
Experience: Over 10 years in product analytics. Worked in large companies such as Yandex and Skyeng, participated in the launch of dozens of digital products.
Profile:
Expert in working with BigQuery, Tableau and Python, has extensive experience in A/B testing, building customer funnels and optimizing business indicators. Author of popular courses and speaker at international conferences on data-driven thinking.
What she says:
“Analytics is not just tables, but understanding people. I teach not only technology, but also thinking that helps to make strong products.”
Alexander Z
Game development on Unity and Unreal
Experience: 8 years in the video game industry. Worked in game studios in Europe and Asia, participated in the creation of mobile and PC games, from hyper-casual to RPG.
Profile:
Specialist in game design and C# programming. Excellent knowledge of Blueprints and Unreal Engine. Runs a YouTube channel on Unity training with over 100 thousand subscribers.
What she says:
“Creating a game is magic, where logic meets fantasy. I will help you turn an idea into a game you want to play.”
Daria K
Full Stack JavaScript Development
Experience: Over 7 years in web development. Worked in startups and outsourcing companies. Went from a layout designer to a team lead.
Profile:
Expert in React, Node.js, Express and MongoDB. In her methodology, she pays special attention to application architecture and code cleanliness. She teaches using the “code from day one” principle.
What she says:
“JavaScript is a language in which you can build everything. The main thing is the right structure, practice and mentor support.”
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