Advanced ML Model Development Instructor

I’m putting together an intensive learning path for a small team working on computer-vision–driven robotics projects, and I need an instructor who can guide us through advanced machine-learning model development from first principles to real-world deployment. The emphasis is squarely on building, training, and refining models rather than on the mechanical side of the robot, so deep theoretical insight coupled with practical coding experience is essential.

You’ll be teaching experienced engineers who already code in Python; what we lack is the depth that comes from years spent architecting and tuning neural networks, support vector machines, and decision-tree–based systems. We want to understand why and when to use each technique, how to optimize them for high-dimensional visual data, and how to benchmark them properly before pushing to production. Frameworks such as PyTorch, TensorFlow, scikit-learn, and, where relevant, OpenCV and ROS should be second nature to you.

I plan to run a series of live, interactive sessions (remote is fine) backed up with concise slide decks, annotated notebooks, and small but meaningful assignments that culminate in a capstone model we can integrate into our vision module. If you have an existing curriculum that fits, great—otherwise I’m happy to co-design one that meets these clear milestones:

• A tailored syllabus that aligns each week’s topic with our current project goals
• Hands-on code demonstrations covering neural networks, SVMs, and decision trees, complete with hyper-parameter-tuning workflows
• A capstone exercise producing a ready-to-ship model evaluated on our in-house dataset, with clear performance metrics

Please include a brief outline of how you’d structure the learning journey and links to any previous teaching material or open-source repositories that show your mastery of these algorithms. I’m ready to get started as soon as we find the right fit.