Course Overview

This AI course helps engineering teams boost productivity and improve code quality using tools like GitHub Copilot, Cursor, and the Model Context Protocol (MCP). It is tailored to your tech stack, whether that is Java, .NET, COBOL or another language.

You will learn not only how to use AI coding tools, but also how to extend them by adding new capabilities. This includes giving your assistant access to internal documentation, connecting it to APIs, and integrating it with company systems.

Just as companies that embraced the internet early on gained significant productivity advantages, adopting AI tools in coding can provide similar benefits. Many companies are already using these tools to improve the productivity of their engineering teams at minimal cost.

In summary, this course teaches why to use AI and how to use AI, and helps you enhance the productivity of your engineering team, improve code quality, and drive your company's success with a single course.

Why take this course?

• Understand what AI can do for your development process.
• Add new tools and resources to your AI assistant with MCP.
• Improve productivity without hiring more engineers.
• Learn directly from experts with practical experience.
• Get training adapted to your technologies.

What your team will learn

• Best practices for using AI coding assistants.
• How MCP works and why it matters.
• How to add tools such as documentation search, API connectors and database access.
• How to build custom MCP servers and connect them to clients like Copilot or Cursor.

Course Structure

Webinar (2 hours):

• Learn the theory behind your chosen AI tool (Cursor, Copilot, Complete, etc.).
• Understand best practices and productivity insights to demystify the tools so engineers feel more comfortable with them.

Workshop (3.5 hours):

• Live demos and hands-on exercises tailored to your team. We use your team's programming languages and technologies so they have a clear idea of how they can use these tools in their day-to-day activities.
• Build confidence and connection with the tool.

Hackathon (8 hours):

• Develop a full project using the AI tool. We provide them with projects corresponding to the company’s stack and objectives so they work on them during the day.
• They can see with a real project how much more productive they become by using the selected AI tools.

AI Coach Support

Our AI coach will be available to answer questions and ensure your team feels confident using these tools, overcoming any initial resistance.

Do you want to train a big team or department?

We can support your organization with Train-the-Training sessions and materials. Please contact us to discuss further.