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Learning path

Learning AI as a Robotics Engineer

A guided path for robotics engineers who want to use AI in daily work. Learn to set up your AI, connect it to your tools, and practice prompts for control code, sensors, simulation, and testing.

Intermediate
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Your path

First steps

  1. Step 1Answer the setup questionsYour job, tasks and AI, so everything fits.
  2. Step 2Connect your AI: get an expert co-worker for your jobAdd one link to the ChatGPT, Claude or Grok you already use. From then on your own AI knows your work as a robotics engineer, and helps like an expert sitting next to you.
    • Your daily brief, inside your AI. Just type "Good morning" for the AI news and tools that matter for robotics engineers, picked from everything that came out yesterday.
    • New ideas every day, each with the prompt to do it, plus a short lesson in the right order for your level.
    • Nothing to install, nothing to learn. Connect once and keep working the way you do now. It stays up to date by itself.
    Connect my AI in 2 minutes
  3. Step 3Give your AI the skills of a top robotics engineerYour AI becomes a specialist in your job: it picks the right skill by itself, the moment you need it.
    See the skills for robotics engineers
  1. Take the prompt courses

    A short framework course to learn how to ask, then 9 lessons with ready-to-use prompts for robotics engineers.

    Start with this framework: how to talk to AI

    Prompt framework course

    Break It Down: Least-to-Most, Plan-and-Solve and Tree of Thoughts

    15 minIntermediate

    This framework helps you decompose robot arm motion planning into subproblems, compare alternative grasp routes, and document each step.

    Then your prompt course for robotics engineers
    Prompt course

    AI for Robotics Engineers (Prompt Course)

    1 hourIntermediate
    1. 1Learn Robotics Fundamentals3 prompts
    2. 2Draft Control System Code3 prompts
    3. 3Plan Motion and Paths2 prompts
    4. 4Integrate Sensors and Actuators2 prompts
    5. 5Simulate Before You Build3 prompts
    6. 6Troubleshoot Robot Behavior3 prompts
    7. 7Test Prototypes Systematically2 prompts
    8. 8Optimize Cycle Time2 prompts
    9. 9Document and Communicate2 prompts
  2. Watch the video courses or add them to your Favorites for later

    82 video courses our AI picked for robotics engineers, most useful first. Save the ones you want to watch later with the heart.

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    Show all 82 video courses
  3. Get certified, or add certifications to your Favorites

    Every course ends in an exam and a certificate you can add to LinkedIn. Save the certifications you are aiming for with the heart.

    Favorites are saved to your account: sign in or create your account first.

    More certifications for robotics engineers
    Show all 24 certifications

About this learning path

6 topics

A practical AI path for robotics engineers

Robotics work moves fast. You design, build, test, and document, often on tight timelines. This path shows you how to use AI as a steady helper for the thinking parts of that work.

You will start with setup questions, connect your AI to the tools you already use, and then work through prompts built for robotics tasks. Short video courses picked for your job come next, along with the certifications that go with them.

  1. Why AI matters for robotics now

    Robots are getting more capable, and the systems around them are getting more complex. AI can help you read datasheets faster, draft control logic, plan motion, and make sense of logs without losing your engineering judgment.

    Teams that use AI well spend less time on repetitive drafting and more time on the physical build, the safety checks, and the hard problems that need a human eye.

  2. What the path includes

    You begin with setup questions to get your AI ready. Then you connect your AI to the tools you use, and learn skills for the job inside your AI. The prompt course comes next, with lessons on control code, motion, sensors, simulation, troubleshooting, testing, and documentation.

    After that, you get video courses picked for robotics engineers, plus the certifications of those courses so you can show what you have learned.

  3. How it saves you time

    You will use prompts to turn requirements into starter code, work through kinematics, and set up simulation worlds. When a robot behaves oddly, you can turn logs and photos into ranked hypotheses instead of staring at a screen.

    Test plans, pass or fail findings, and stakeholder summaries come together faster, so you can spend the time you win back on the robot itself.

  4. How it protects your career

    AI does not replace your judgment. It helps you check your thinking, catch mistakes earlier, and keep your documentation clear. That makes you more valuable on the team, not less.

    You stay in charge of safety, hardware choices, and final decisions. The path shows you where to trust the AI and where to slow down and verify by hand.

  5. How to start

    Begin with the setup questions. Then connect your AI and try one prompt from the course on a small task you already have, like drafting a ROS node or summarizing a sensor datasheet.

    Move at your own pace. Each lesson builds on the last, so you can practice a little each day and see the difference in your own work.

  6. Frequently asked questions

    Do I need to know how to code to use this path?
    You should be comfortable reading code and working with robotics tools, but you do not need to be a software expert. The prompts help you draft and check code, not write it for you from scratch. You stay in control of the final version.

    How much time does the path take?
    Most people move through the setup and prompt course over a few weeks, fitting it around their regular work. The video courses and certifications can be done at your own pace. You can start with just ten minutes a day.

    Will this replace my engineering judgment?
    No. The path is built around your judgment. AI helps you explore options, draft documents, and spot patterns in logs, but you decide what is safe and correct. You still test on hardware and sign off on the final design.

    What if my robot uses a specific framework or language?
    The prompts are written to adapt to your setup. You can tell the AI which framework, language, or sensor you use, and it will shape the answer around that. The lessons show you how to give that context clearly.