We are proud to announce the successful completion of a comprehensive series of IT training courses, which we conducted for the Social Insurance Institution (ZUS). This project was carried out as part of a won tender procedure, the subject of which was the purchase of specialized training in the area of web services.
Advanced IT Training for ZUS
The goal of our collaboration was to provide ZUS employees with specialized knowledge in the field of modern technologies, crucial for the development and maintenance of internal IT systems. This cooperation is proof of our deep trust and experience in delivering advanced training for the public sector.
We focused on specialized training in the area of Web Services, implementing three intensive training topics for a total of 20 ZUS specialists.
Creating Web Services in .NET 8
One of the key training courses delivered was creating web services in .NET 8. This training focused on building modern, efficient, and scalable web services. Participants explored topics related to Minimal API, route mapping, dependency injection, validation, and OpenAPI. We also discussed in detail the architecture of controllers in Web API, HTTP client operations, and creating custom middleware. The program also covered real-time technologies such as SignalR and gRPC (including Protocol Buffers), as well as key aspects of diagnostics (logs, OpenTelemetry), security (JWT Tokens), and the basics of Docker containerization.
Design Patterns in C# and Automated Testing
A key element of the series was also training for programmers, focusing on good practices and programming in C#. Participants learned the SOLID and GRASP principles and practical implementations of the most important design patterns, such as Strategy, Adapter, Builder, Decorator, Facade, Factory, Mediator, Observer, and Repository. The second part of the training was dedicated to automated testing, including the TDD (Test-Driven Development) approach, the Red-Green-Refactor cycle, and the practical use of test doubles (Mock, Stub, Fake, Spy) and testing patterns (Arrange, Act, Assert).
Machine Learning and AI with ML.NET
In response to the growing importance of artificial intelligence in IT systems, we conducted training on ML.NET. Participants learned how to configure and use ML.NET tools and libraries, including Model Builder and AutoML. The workshops covered the practical implementation of various machine learning algorithms (including binary and multi-class classification, regression, clustering, anomaly detection) and the process of training, evaluating, and saving models, as well as their integration with the Azure cloud.
Quality of IT Training
The training was led by our experienced trainer, possessing years of documented practice in delivering training in this thematic scope. We ensured the highest substantive level, combining theory with practical exercises, which allowed participants to immediately apply new knowledge in their daily work on web applications and dedicated systems.
We are pleased to have been able to support the Social Insurance Institution in enhancing the competencies of their IT teams and look forward to further fruitful cooperation.
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