AI-Assisted Programming

Übersicht

The course is co-created by JetBrains Academy and Nebius. At JetBrains Academy, we know what it takes to teach programming effectively.

Meanwhile, Nebius possesses deep domain knowledge in applied AI – helping developers, data scientists, and enterprises implement AI in real-world scenarios. This course is designed to help developers go beyond the hype and actually learn how to collaborate with AI tools in meaningful, productive ways.

Whether you’re a developer curious about AI or a team lead looking to boost productivity, our experts can offer you practical answers to real-world challenges. AI-assisted programming isn’t just about asking a chatbot to generate code.

It’s about knowing enough to collaborate effectively with AI, improve the quality of AI-generated code, and build and deploy apps from scratch using AI-powered dev tools. This course takes a use-case-first approach to address exactly that.

In it, you’ll explore topics like:

Prompting techniques:

Learn to interact with LLMs and adjust settings for better results in development and everyday tasks. Coding with an AI assistant:

How to guide the assistant, where to trust it, and how to validate its output.

Agents for software development:

Discover how AI agents work and how you can leverage them. AI development tools:

Explore AI tools from chatbots to in-IDE assistants and learn to pick the right ones for your tasks.

The course star lineup includes Alexander Avdiushenko (the Head of AI/ML Programs at JetBrains), Andrey Zakonov (AI Product Lead at JetBrains), Roman Gaev (AI Product Manager at Nebius), and famous external instructors, like Daniel Knott (the Head of Software Engineering and Software Testing Content Creator), and Graham Neubig (Chief Scientist of All Hands AI, Associate Professor of Computer Science at Carnegie Mellon University).

Lehrplan

• Coding with AI Assistant
• AI Development Tools Overview
• Prompting Techniques
• AI Agents as a Development Team
• Agents for Software Development
• AI-Supported YouTube Learning Platform

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Unterrichtet von

Stanislav Fedotov and Aleksandr Avdiushenko

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Fachgebiete

Computer Science