Free short video course

Make the most of Cursor as an AI-powered coding environment

Learn from industry experts, whether you’re just starting out or looking to deepen your skills
Start learning
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Reach 2× improvement
in AI code suggestion quality
Drive 2x growth
in AI-assisted coding usage
Go beyond the basics
to stay ahead in the job market
Reach 2× improvement
in AI code suggestion quality
Drive 2x growth
in AI-assisted coding usage
Go beyond the basics
to stay ahead in the job market

Our experts

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Denis Volkhonskiy
SWE Agent Advocate at Nebius Academy
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Chris Dunlop
AI Developer & Entrepreneur

Learn agentic development end-to-end

Integrate various resources
to provide comprehensive context for agents
Execute and test apps
via agent’s CLI and browser
Develop agent guidelines
and project documentation
Run agents in parallel
to efficiently review and integrate code

Hear from our students

It turned Cursor from ad-hoc prompting into a reliable dev loop. Now I use @file and progressive context (500-line cap), one-feature-per-chat, and Markdown summaries. The debug cycle and structured prompting templates cut back-and-forth and speed up fixes.
I learned the names of prompt techniques I’ve already been using, and discovered many new approaches that I started applying at work last week. I also began to understand that different models can be better suited for different tasks. Additionally, I picked up a few IDE tricks in Cursor.
Great module. It turns AI from trial-and-error into a simple, reliable workflow. The biggest wins were Context Management, Debugging, and Prompting—cleaner prompts, faster loops, fewer dead ends. Markdown/Stage-Gate kept things tidy and easy to share. Overall: practical and immediately useful.
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Start Learning
For your team

Education that fits company needs

Corporate training in AI-assisted programming
Nebius Academy delivers practical training that adapts to specific goals and links learning to measurable business results
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Customizable learning paths
Programs built around each company’s tools, workflows, and priorities
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Live workshops with experts
Interactive sessions that help teams apply new skills directly to real projects
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Analytics
& KPIs
Data-driven tracking of progress, engagement, and business impact
B2B program modules overview
Module 1.
AI-Powered tools for developers
Module 2.
LLM prompting techniques for developers
Module 3.
Best Practices of AI-assisted Coding
Module 4.
Agentic Development with Cursor
Module 5.
Model-Context Protocol (MCP)
Module 6.
Working with sub-agents
Module 7. Building your own AI agent
Module 8.
Multi-agent system
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How teams apply what they learned

Playrix, a leading global mobile game developer with millions of players worldwide, aimed to accelerate AI coding adoption across its teams
Team results after learning with us
AI-generated code requests went up by 65.7%, while applied AI suggestions jumped by 232% – a clear sign the team moved from testing AI to trusting it in real workflows.
+232%
developers apply AI-generated code more often
8.4/10
recommendation score
88%
rated the course as very helpful for using AI coding agents
It turned Cursor from ad-hoc prompting into a reliable dev loop. I now use @file and progressive context (500-line cap), one-feature-per-chat, and Markdown summaries. The debug cycle (trace → explain → patch → test) and structured prompting templates cut back-and-forth and sped up fixes
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Let's enable AI coding in your team!

We’ll reach out to learn about your goals and prepare a solution that fits your needs
Agentic Development with Cursor
Best Practices of AI-assisted Coding
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