Training based on practice, not promises

The modern IT industry is developing faster than even the most modern diplomas can be updated. Therefore, the key issue for a specialist and a company today is not just to study, but to study effectively: according to a structured program, with a focus on working technologies, under the guidance of practitioners. This is the format that underlies our courses. We do not sell “magic buttons”, but systematically form the skills necessary for developing modern digital products: from process automation to creating fault-tolerant architectures.

Plantool.uno offers top-notch education-focused IT training for individuals seeking to excel in the technology industry.

Professional IT Training at Plantool.uno
Experienced Teachers

Who are the courses for?

We work with three types of participants: beginners, junior/middle level specialists, and corporate teams. Each group has different goals, and the program structure adapts to these needs.

Beginners without a technical background

– The main goal is to form the right foundation. Not just “know the syntax,” but understand how code is written and read, how application components interact, how to debug and structure a solution.
– We do not skip over difficult moments, but on the contrary, we slow down where it is critical. For example, we analyze in detail how to work with memory, data types, and exceptions.
– The “from simple to real” approach allows you to put together informal mini-projects already in the middle of the course, which motivates and gives confidence.
– Particular attention is paid to the development culture: from variable naming to Git practices and teamwork.
– Graduates of this level gain the skill of reading other people’s code, understanding typical tasks, and are ready for further development.

Junior/Middle developers

– For specialists already working with code, we focus on architecture, optimization, and refactoring.
– We provide tools to increase productivity: working with ORM, implementing CI/CD, setting up tests and logging.
– Emphasis on working with API, REST, GraphQL, interacting with databases, authorization, roles, security.
– Students master design patterns and learn to apply them in real cases, not in isolation.
– The result is improved skills and readiness to take on more responsibility in a team.

Teams within companies

– We train corporate groups taking into account technical stacks and business tasks.
– Courses can include custom cases, integrations with real company services, working with their internal architecture.
– Joint code review, discussion of current project issues, consultations on architecture migration are supported.
– A unified approach to quality, readability, and test coverage is formed.
– The result is synchronization within the team and an increase in the level of all participants.

Main areas of training

The courses are structured into three technological blocks. Each includes a theoretical base, intensive practice, and a mandatory final project with code review.
Python: scripts, automation, web services
– The training starts with the basics: variables, data types, conditions, cycles, functions. We explain why, not just how.
– OOP, working with files, exceptions, regular expressions, modules are studied.
– Libraries are worked out separately: requests, pandas, openpyxl, Flask, FastAPI.
– Cases of task automation are included: report processing, parsing, integration with API.
– The final project is a microservice with REST API, authorization, database, and documentation.
Full-Stack JavaScript: from interface to API
– ​​Starts with ES6+, basic structures, promises, async/await, events.
– The frontend is React (hooks, state, props, lifecycle, forms), working with requests and routing.
– The backend is built on Node.js and Express: REST API, middleware, JWT, MongoDB or PostgreSQL.
– The entire cycle is covered: project → build → deploy (Heroku, Vercel, Docker).
– Particular attention is paid to the architecture of components, error control and API protection.
Java + Spring: architecture, performance, fault tolerance
– Spring Boot, Spring Data, Spring Security, building REST/gRPC services are studied.
– Microservices, containerization, interaction via message brokers (Kafka) are analyzed.
– Patterns are worked out: repository, factory, strategy, dependency injection.
– Logging, metrics, monitoring systems are implemented (Prometheus, Grafana).
– Final assignments include load tests, profiling, scaling.

Our IT Courses

Gain a comprehensive understanding of the IT industry through our wide range of courses.

Experienced Teachers

Practical Cases

Individual Learning Paths

Long-Term Support and Access to a Professional Community

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Sign up for one of our courses and start your journey towards success.

Explore Our Courses

Find the perfect IT training course for you

Experienced Teachers

500+

Practical Cases

1000+

Individual Learning Paths

2000+

Long-Term Support

1000+

Advantages of studying with us

Advantages of studying with us
Teachers from the industry
– All modules are taught by developers, architects, DevOps engineers working in product and service companies.
– They show real techniques, relevant approaches and introduce current industry requirements.
– For each topic there is “what works in theory” and “how to solve it in production”.
– Personal participation in checking work and consultations is not a formality, but part of the process.
– You get not only knowledge, but also contact with a practicing professional.
Only practical cases
– No lectures for the sake of lectures. Each topic is accompanied by an assignment that solves a specific problem.
– The modules simulate teamwork: joint tasks, code review, discussion of architectural solutions.
– Projects are checked by teachers, you receive feedback and recommendations.
– At the end, there is an interview on the project, as in a real position.
– Each graduate gets a Git repository with valid, cleanly formatted code.
Individual approach
– Before the start, there is an introductory session where we help you choose the right level.
– You can move at your own pace: recordings are available, mentors respond outside of the schedule.
– The ability to create an “individual track” for your tasks — from department automation to preparing for the transition to another technology.
– Personal mentoring is available for complex projects.
– You will not be left alone with questions — help will be available at every stage.
Access and support after graduation
– Access to recordings, materials, links, and codes remains forever.
– Graduates are part of a closed IT community: meetups, analysis of new products, vacancies are posted there.
– There is an opportunity to reconnect to new recruitments or submit additional projects.
– We recommend the best to partner companies — we have employment channels.
– We stay with you not for the duration of the course, but for the entire period of professional growth.

Testimonials

Hear from our satisfied clients and see how our courses have helped them succeed.

After taking our Python development course, I felt confident enough to take on new projects and increase my earning potential.

Through the Full-Stack JavaScript course, I learned valuable skills that helped me optimize and improve my Java applications.

Thanks to the architecture and optimization of Java applications course, I was able to land my dream job at a top IT company.

Teachers / Experts

Dr. Eva Schneider

Eva has led projects on designing distributed systems and building a reliable architecture for large applications. She specializes in building inter-service interactions and applying design patterns to improve fault tolerance. In the course, Eva pays special attention to architectural decisions and methods of documenting code.

Lucas Ender

Lucas has worked on creating high-load web applications and integrating them with cloud services. He has mastered the entire development cycle: from database design to optimizing client rendering. As part of the course, Lucas shares techniques for effective code organization and CI/CD practices.

Julia Vogel

Julia implements solutions for processing big data and machine learning in production environments. She adapts scientific models to real business tasks, automates data collection and visualization. In the course, Julia conducts practical master classes on creating ETL pipelines and training models in Python.

Lucia Bianchi

Lucia has organized CI/CD processes, application containerization and security in corporate environments. She implements infrastructure as code and automates deployment via Kubernetes and Terraform. In the course, Lucia explains in detail the principles of building stable pipelines and monitoring services.

Ready to Take the Next Step?

Sign up for one of our courses and start your journey towards success.