Full catalog
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Python Developer
Acquire key skills to build a strong foundation for a career in tech. Start from the basics, deepen your understanding, perfect your code, and expand into advanced projects.
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Introduction to Java
Understand the language behind millions of apps. Grasp core concepts, write basic programs, and make your first step toward breaking into tech.
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Python Fundamentals with Practical Projects
Learn Python fundamentals and build projects you can actually use: to automate tasks or start a career in tech.
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Kotlin Core
Kotlin, developed by JetBrains, is Google's preferred language for Android app development. Master the language under the guidance of its original creators.
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Frontend Developer
Master core web development concepts and the popular tool suite, JavaScript, HTML, and CSS to create your own websites and apps.
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Java Developer
Learn essential development skills, from basic syntax to advanced features. Build a solid foundation to master any framework you need. Learn to use AI to code faster.
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Java Backend Developer (Spring Boot)
Designed for the committed. Master Java with Spring Boot to build strong web apps and unlock high-demand job opportunities.
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Kotlin Developer
Learn Kotlin for backend, frontend, and Android app development to expand your reach across multiple platforms with a concise language developed by JetBrains.
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Introduction to JavaScript
Say hello to JavaScript, a popular multi-purpose language. Practice your skills and knowledge by building several self-contained projects and apps.
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Android Developer with Kotlin
Learn about UI design, data storage, dynamic screen building, and leverage the capabilities of Android Studio to start your career in mobile app industry.
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Go Developer
Prepare for a Golang developer job: build CLI apps, manage user interactions, and enhance debugging skills with core language features.
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Java Core
Learn core Java concepts and standard tools that allow you to solve algorithmic problems or design math models. Choose this course to work with non-trivial and complex projects!
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Introduction to Data Science
Acquire essential skills in statistics and machine learning. Focus on data preprocessing, analysis, visualization, hypothesis testing, and machine learning model building.
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Introduction to SQL
Join this course to acquire the essential skills in SQL, empowering marketers, product managers, analytics and developers to efficiently collect and analyze data.
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Introduction to Kotlin
Start your first exciting journey with Kotlin programming! Discover how to work with variables, control code flow, and grasp essential concepts of object-oriented programming.
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Introduction to HTML and CSS
Learn the essentials of frontend development, from browser functionality to building modern responsive websites.
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Java Desktop Application Developer
Expand your knowledge of Java and create a real application with a Swing framework. This course is #1 if you strive to become a master of desktop app development.
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Java Full Stack Developer
Acquire skills you need to create real-life web applications and design beautiful user interfaces. Combine backend and frontend using Java and JavaScript languages.
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Python Core
This course is dedicated to core Python skills that will give you a solid base and allow you to pursue any further direction, be it Backend Development or Data Science. Python is one of the much-in-demand languages in today's environment. Known for its straightforward syntax, Python is easy to learn and use, gaining this language popularity and making its community grow daily.
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Introduction to Django
Discover the possibilities of web development with Django and Python. Learn the essentials, develop complex programs, and pave your way to becoming a skilled web developer.
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Coding Machine Learning Algorithms
ML libraries make model building easier, but a deep understanding is crucial for reliable results. In this course, you'll implement the main ML algorithms in Python to better understand how they work. This course is not about using pre-coded ML algorithms — instead, you'll code them yourself.
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Introduction to Command Line and Unix Shell
Explore the potential of the Unix shell for building and running programs. Boost your productivity and control your computer with programmable commands.
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Kotlin Backend Developer (Spring Boot)
Dive into Kotlin backend and build web applications with Spring Boot. Develop server-side apps, keep the data persistent, and test the app's functionality using modern tools.
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Computer Algorithms and Data Structures
Practical, real-life algorithm training for excelling in job interviews. Master algorithmic thinking, data manipulation, and enhance problem-solving skills.
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Introduction to C++
Start your journey into the world of C++ today and lay the groundwork for future growth and exploration.
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Databases with SQL and Python
Explore the world of SQL and its role in retrieving, storing, and processing data, empowering you to make informed decisions and drive impactful insights.
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Introduction to Spring Boot with Java
Get ready to improve your web development skills with Spring Boot! This course offers an immersive introduction to the popular framework and includes the necessary materials on Java.
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Python Backend Developer with Flask
Build complex server-side applications with Flask to gain job-ready skills for a Python backend developer career.
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Introduction to Git
Want to know how Git can revolutionize your workflow? Learn the basics of distributed work with code repositories and the necessary steps to version and publish your code.
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Introduction to Natural Language Processing
Take your Python skills to the next level! Learn how to process, filter, and analyze texts, extract key terms, generate your own content, and perform simple text summarization.
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Spring Security for Java Backend Developers
Master Spring Security 6 and learn how to safeguard web applications with authentication, authorization, and role-based access control mechanisms.
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Advanced Java
Unlock the secrets of Java's low-level mechanisms. Gain practical insights into fault tolerance, high loading, and rare Java features to successfully tackle non-trivial tasks.
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SQL for Backend Developers
Choose this course to master the fundamentals of database theory, learn SQL statements to access data, and gain practical experience with MySQL.
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Introduction to Go
Start your Go programming journey, discover the simplicity and speed of this modern language as you learn fundamental concepts, syntax, and how to build basic applications.
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DevOps Engineer with AI: CI/CD Pipelines & Docker Skills
Hands-on DevOps training with AI integration, CI/CD pipelines, Docker, Git, and configuration management. Build job-ready automation skills.
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Pandas for Data Analysis
Become a data analysis expert with Pandas! Learn how to use Pandas for data manipulation, analysis, and insight extraction.
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Introduction to Android with Kotlin
Take your first step towards a career in mobile development. Acquire the fundamental skills needed to create, design and deploy simple mobile apps.
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JavaScript Core
Gain proficiency in one of the most demanding areas of software engineering and apply your frontend development skills to your future career. This course covers foundational knowledge of JavaScript, expanding beyond the basics.
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Jetpack Compose for Android Developers
Select this course and explore the basics of Jetpack Compose — a modern UI tool developed by Google for creating native Android UI with Material Design in Kotlin.
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Game Development with Unity
Ready to become a game developer? With this course, you'll practice Unity skills and create indie games to build your portfolio and start your career. For this course, you'll require basic C# skills.
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Python OOP
Master object-oriented programming and refresh your knowledge of classes, magic methods, and abstract classes along the way.
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Coding with Junie, AI Agent by JetBrains
Mastering Junie in JetBrains IDEs: Learn how to use Junie, the AI coding assistant for JetBrains IDEs, to make coding faster and easier.
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SQL for Data Analysis
This beginner-friendly course equips you with the skills to work with data, covering SQL fundamentals and advanced techniques. You'll become proficient in writing complex queries for effective data analysis without needing extensive programming knowledge.
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Introduction to Node.js
Gain essential skills in web server creation, file system manipulation, database integration, and asynchronous programming.
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Introduction to AI Engineering with Python
This hands-on course introduces you to the main ideas and tools used to build modern AI-powered applications. You'll learn how to work with foundation models, create retrieval-augmented generation systems, build simple AI agents, and deploy your own AI services safely and reliably.
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Introduction to Docker
Using Docker can significantly simplify the process of developing, testing, and deploying applications, as well as improve their scalability and reliability. In this short course, we will cover everything from the basics of Docker to more advanced topics like building and deploying multi-container applications with Docker Compose.
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Essential Skills for Backend Developers
Learn about low-level operating systems and networks, as well as high-level design principles and models, regardless of your programming language of choice.
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Data Analyst
Gain data analysis skills, essential for solving complex problems in a Data Analyst role, focusing on data handling and decision-making. Learn how to handle, visualize, and interpret data effectively.
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Algorithmic Thinking for Java Developers
Uncover problem-solving mastery with this project-free Java course, which empowers developers, students, scientists, and problem solvers in any field.
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Introduction to Frontend
Start your web development journey with JavaScript, HTML, and CSS, creating your first web pages. The results are simple yet impressive.
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Introduction to Ktor
Step into the world of Kotlin and master backend development with our Ktor course. Learn the basics of Kotlin, web app fundamentals, and REST service development.
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Python with Algorithms for Tech Interviews
Enroll in this course to gain proficiency in storing, accessing, and manipulating data. By implementing algorithms, you can develop a more precise and efficient coding technique.
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Python Backend Developer with Django
Master Python backend using Django for your career goals. Build, deploy, and optimize scalable web apps with skills in API, database management, and security.
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Data Scientist
Start your data science career with hands-on projects, mastering advanced concepts in programming, math, and statistics. Perfect for committed, motivated learners.
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MLOps Engineer
Bring the DevOps principles of continuous integration, continuous delivery, and continuous monitoring to the machine learning lifecycle by integrating MLOps in your pipeline. Learn essential concepts for effectively deploying and managing machine learning models in production environment.
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Chatbots with Python
Gain hands-on experience in building AI-driven chatbots and dialogue systems, working with advanced models, and enhancing data representations for effective language understanding.
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AI Tools for Developers: Master Code Generation & Automation
Go beyond syntax with advanced AI tools for developers. Learn to leverage generative AI for complex code generation, automated debugging, and performance optimization. Start mastering the next generation of software development.
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AI Programming for Python Developers
Master Generative AI with Python across all stages of software development, from ideation to implementation. Stay competitive, be trendy, and secure your career as a developer in today's challenging job market.
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Introduction to MongoDB
Take a deep dive into MongoDB and gain essential skills for effective data management. Learn to retrieve, insert, and modify documents, design data models, and optimize queries.
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Introduction to Flask
Drive your Python coding skills further and deploy simple web apps with a Flask framework.
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Introduction to QA
Acquire the fundamental skills necessary to excel in the world of QA: Learn about QA principles, documentation, bug identification, and how to create and execute test cases.
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Python for Science
Dive into Python for Science, a unique course for biologists, mathematicians, and all enthusiasts eager to learn essential data skills through popular science projects.
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AI Agents: Theory and Practice
Learn how AI agents are built and how they work in practice. This course covers the core principles behind LLM-based agents — how they think, act, and observe — and guides you through creating your own using Python.
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NLP Engineer
Continue your exploration of NLP with a deeper dive into modern natural language processing techniques. This course goes beyond basic tasks like tokenization and POS-tagging, challenging you to delve into implementations of sentiment analysis, spell checking, and machine translation, among others.
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Advanced Kotlin Libraries and Techniques
Complete this course to master advanced Kotlin features, write professional code, and boost your career with industry-demanded skills for complex development tasks.
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Kubernetes for Developers
Learn container orchestration and cloud-native app management essential for software developers, system administrators, DevOps engineers, or aspiring learners. Please note that this course is in early access, so it's still in development and has limited content.
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Deep Learning
Learn about neural networks and find out how to implement some of those yourself for your future job as a data scientist.
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Machine Learning with Python
This hands-on course introduces the fundamentals of machine learning using Python and industry-standard libraries. Learn how to build, train, evaluate, and optimize machine learning models following a complete ML pipeline—from data preprocessing and feature engineering to model selection and tuning.
Hyperskill
Introduction to Full-Stack JavaScript Development
Learn to build full-stack web applications with JavaScript. Start with HTML, CSS, and JavaScript for interactive frontend pages, then use Node.js and Express.js for backend development. Work with React/Vue for dynamic interfaces, handle real-time communication, and apply basic security and deployment practices.
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Data Engineering and ETL
Learn how to collect, store, transform, and manage data using Python and SQL, working with both relational and NoSQL databases. Through hands-on practice with PostgreSQL, MongoDB, and Apache Airflow, you'll build reliable data pipelines and understand how data flows through real-world systems, preparing you for entry-level data engineering roles.
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Introduction to Cloud DevOps Engineering
Learn how to build, deploy, and manage cloud infrastructure while automating everyday tasks and deployments. Starting from Linux, networking, and version control, you'll progress to working with core AWS services, containers, Kubernetes, and CI/CD pipelines.
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Security Operations Engineer
Learn to secure and monitor IT systems, respond to incidents, and protect networks. Gain hands-on skills with Linux, networking, Bash scripting, authentication, cryptography, and security tools to manage security operations effectively.
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Introduction to Cloud Security
This course introduces the core principles and practices of securing cloud infrastructure and containerized applications. Learn how to protect cloud environments on AWS by applying security fundamentals, identity and access management, network and storage security, and cryptographic techniques.
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Introduction to Site Reliability Engineering (SRE)
Learn how operating systems, networks, containers, and cloud-native tools work together to keep services running smoothly. Develop the skills needed to automate operations, troubleshoot issues, and improve system performance and reliability.
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DevSecOps Engineer
This course introduces the DevSecOps approach, where security is integrated into every stage of the DevOps lifecycle. Learn how to identify common security risks, protect applications and infrastructure, and apply security best practices across development, deployment, and operations.
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Prompt Engineering
Build essential prompt engineering skills for working with large language models. Start with the fundamentals, refine how you design effective prompts, and progress to advanced reasoning and safety-aware techniques used in real-world AI applications.
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Building with Foundation Models
This course introduces the essential concepts and tools for building applications with foundation models. You'll learn how large language models work, how to interact with them through APIs, and how to design systems using prompting, retrieval, and agents to create practical AI-powered applications.
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Introduction to Generative AI
Build a clear understanding of generative AI and how it is used in practice. This course introduces the core concepts behind large language models, explores their capabilities and limitations, and explains how people interact with them responsibly. You'll gain the foundational knowledge needed to confidently use generative AI tools and decide which advanced AI skills to learn next.