AWS Certified Developer - Associate showcases skills and knowledge in developing, optimizing, packaging, and deploying applications, using CI/CD workflows, and identifying and resolving application issues.

A nomination from Habr.ru for the technical writing contest “Technotext”.

This specialization introduces the Go programming language and provides an overview of its key features. After completing the three-course sequence, learners gain the knowledge and skills needed to build concise, efficient, and clean applications in Go.

This course focuses on designing and deploying scalable, fault-tolerant microservice systems. It covers key architectural patterns, decomposition strategies, and infrastructure tools such as Kubernetes, Docker, and CI/CD pipelines.

This series of courses offers a deep dive into modern C++ development, progressing from syntax fundamentals to advanced optimization techniques. It covers core concepts like STL containers, object-oriented programming, and unit testing.

This course provides a deep dive into functional programming concepts using Haskell, covering lazy semantics, algebraic data types, and pattern matching. It explores the language’s advanced type system, including parametric and ad-hoc polymorphism, type classes, and functors.

A comprehensive six-course program focused on the practical implementation of machine learning and deep learning models. It covers core algorithms (classification, regression, clustering) using scikit-learn, big-data processing with Apache Spark, and building neural networks (CNNs, RNNs, autoencoders) with Keras, PyTorch, and TensorFlow.

This advanced course is designed for experienced developers to deepen their knowledge of the Python ecosystem. It covers complex topics such as design patterns, asynchronous programming, and metaprogramming, with a focus on writing high-performance and secure code.

The course represents a brief introduction to mathematical analysis. Over 4 modules, students are introduced to the basic concepts of mathematical analysis: sequences, limits, continuity, derivatives, and integrals.

An introductory course on algorithms covering fundamental techniques and their implementation.