JetBrains Courses

AI-Assisted Programming

1 rating

Master AI-assisted programming with practical techniques for prompting, coding with AI assistants, leveraging agents, and selecting the right development tools for real-world projects.

• Coursera
• 23 hours 1 minute
• Self-Paced
• Paid Course

Python from Scratch: Learn by Coding

11 ratings at Coursera

Master Python fundamentals through hands-on coding in professional JetBrains IDEs, building real projects while learning variables, functions, classes, and file handling.

• Coursera
• 14 hours 32 minutes
• Self-Paced
• Paid Course

Python: Mastering NumPy Essentials

1 rating

Unlock NumPy's power for data science and AI through hands-on practice with arrays, indexing, math operations, and real-world projects in a professional IDE environment.

• Coursera
• 7 hours 11 minutes
• Self-Paced
• Paid Course

Build a Game with an AI Coding Agent

1 rating

Discover how to build a complete 3D browser game from scratch using AI coding assistance, creating player mechanics, enemies, and scoring systems step-by-step.

• Coursera
• 2 hours 31 minutes
• Self-Paced
• Paid Course

Full-Stack JavaScript: Build a Real-Time Chat App

14 ratings at Coursera

Master full-stack JavaScript by building a real-time chat app with Node.js, React, and WebSockets, covering REST APIs, authentication, state management, and Docker deployment.

• Coursera
• 10 hours
• Self-Paced
• Paid Course

Kotlin for Java Developers

2126 ratings at Coursera

Enhance Java development with Kotlin's concise syntax, safety features, and seamless interoperability. Learn key concepts and leverage Kotlin's power for JVM, Android, and server-side projects.

• Coursera
• 1 day 1 hour 37 minutes
• Self-Paced
• Paid Course

If you don't have much experience in programming, this track is the best way to start your journey to the Java world by learning the basics.

• Independent
• 15 weeks
• Self-Paced
• Paid Course

Remote Development in PyCharm Professional Using Google Cloud Code

Enhance Python development productivity with PyCharm and Cloud Code. Learn to set up projects, write APIs, deploy to Google Kubernetes Engine, and optimize your workflow for cloud-based applications.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

IntelliJ IDEA: Data Modeling with Records - Examples for Busy Developers

Explore Java records through 5 practical examples, covering syntax, semantics, features, and limitations. Learn how to use records with pattern matching and sealed classes.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Making Sense of Large Java and Kotlin Classes - Understanding and Refactoring Complex Codebases

Learn techniques to analyze and understand large Java and Kotlin classes, including behavioral code analysis, data visualization, and dependency structure matrices. Gain insights for effective refactoring and codebase comprehension.

• YouTube
• 1 hour 38 minutes
• Self-Paced
• Free Video

Java-Friendly Machine Learning with JSR381 - Visual Recognition API

Explore Java-friendly machine learning with JSR381, an open-source API for visual recognition. Learn its goals, architecture, and practical applications in IntelliJ IDEA.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Building REST APIs with Spring Boot

Learn to build CRUD REST APIs in Java with Spring Boot, covering best practices, Spring Initializr, and IntelliJ IDEA. Gain hands-on experience in creating efficient and scalable web services.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

MongoDB with Docker in IntelliJ IDEA

Learn to set up and use MongoDB with Docker in IntelliJ IDEA. Covers container creation, data insertion, MongoDB shell access, and Docker Compose setup for efficient database management and application development.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Version Control with IntelliJ IDEA

Explore efficient version control in IntelliJ IDEA, covering common and advanced Git tasks to enhance productivity and streamline workflows.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

IntelliJ IDEA - Debugger Professional

Explore advanced debugging techniques in IntelliJ IDEA, including breakpoints, memory analysis, hotswap, async stack traces, and stream debugging for efficient code troubleshooting.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video