Context Engineering Lets You Move Faster Than Your Professors Ever Could.
It's not enough to just be good at coding, you now need to be good at using LLM's. But where to start? This course gives you a structured approach taking you from the basics to running your own robotics experiments as fast as possible.
Using industry standard tools
If you use the tools that industry uses, you'll have an easier time working with them in your post-doc
These online workbooks focuses on using Robotics Operating System 2 (ROS 2) together with VS Code's GitHub Co-Pilot integration. Tools that you're industry partners or bosses will understand.
There are lots of AI tools to choose from. This workbook describes the specific set of tools we will use in these lessons, getting you ready for the journey ahead.
In this workbook we will use AI coding tools to help us rapidly develop a robotics simulator. Our first big project to build with AI.
Most researchers need to setup a robotics simulator to help prove out their ideas. In this workbook we will look at how to setup robotics simulators with ROS 2.
A key part of Context Engineering is giving the AI an understanding of your specific needs. In this workbook we explore best practices for helping your AI to help you.
Once you have a simulation, the first thing you should do is test an expected outcome. This workbook walks through how you should think about and implement this idea.
Once you've had a few experiments, there will be something that didn't quite go to plan. Now it's time to double down on that.