[ AI-Powered Development Training ]
AI-Powered Development
with Cursor
Upskill your engineering team with AI-powered development tools. Learn to use Cursor IDE, AI coding assistants, and modern AI development practices to ship faster and write better code.
Corporate training by Aurelius Ivan Wijaya · Available across Indonesia
2-5x
Dev speed
70%
Hands-on practice
AI
Code review
ID
Nationwide coverage
[ Curriculum ]
What your team will learn
Four modules covering AI-assisted development from basics to building AI-powered features in production.
01
Getting Started with Cursor & AI Coding
IDE setup, understanding AI context windows, writing your first AI-assisted code, and navigating the Cursor workflow.
02
Driving the Agent: Multi-File Edits and Codebase-Aware Builds
Directing AI coding agents across multi-file edits, codebase-aware builds, inline completions, and leveraging full codebase context for accurate results.
03
AI Code Review & Quality
AI-driven testing, automated refactoring, documentation generation, and using AI to identify bugs and improve code quality.
04
Building AI Features into Products
Integrating LLM APIs (OpenAI, Anthropic) into your applications, building AI-powered features, and shipping AI products.
[ Learning Outcomes ]
After this training,
your team will
[ Who Is This For ]
Built for developers who want to ship faster
Engineering Teams
Adopt AI coding tools across your engineering organization and establish best practices for AI-assisted development.
Tech Leads
Evaluate and implement AI development workflows for your team, measure productivity gains, and set coding standards with AI.
Startup CTOs
Ship faster with a smaller team by leveraging AI to multiply your engineering capacity and accelerate product development.
Individual Developers
Upskill with AI coding tools to become more productive, write better code, and stay ahead in the evolving development landscape.
[ FAQ ]
Development training
questions
What programming languages are covered in Cursor AI training?
Cursor AI training is language-agnostic and works with any programming language your team uses: JavaScript, TypeScript, Python, Go, Java, Rust, and more. The agentic development techniques and codebase-aware workflows apply universally across all languages and frameworks.
Do developers need prior AI experience for this training?
No prior AI or machine learning experience is required. The training is designed for software developers who want to leverage AI tools to code faster and better. Basic programming experience is the only prerequisite.
How does Cursor training compare to just using ChatGPT for coding?
Cursor is integrated directly into the IDE workflow, giving the AI full context of your codebase, file structure, and dependencies. Unlike copy-pasting from ChatGPT, Cursor provides inline suggestions, multi-file edits, and codebase-aware completions that are far more accurate and productive.
Can you train our team on our actual codebase?
Yes, exercises can be tailored to use your team's actual codebase and projects. This makes the training immediately applicable and helps your team understand how AI coding tools work with their specific tech stack and architecture.
What is the ideal team size for this workshop?
The ideal team size is 5-20 developers per session. This allows for hands-on practice with individual guidance. For larger teams, multiple sessions can be arranged to maintain quality of instruction.
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Learn moreReady to supercharge your engineering team?
Book a free consultation to discuss how AI-powered development with Cursor can accelerate your team's productivity.