MATLAB setup check (optional) Room: BigBlueButton/RZGö Before the main course begins, we ask you to verify that your MATLAB installation is up and running. If you are confident that MATLAB works on your machine, feel free to join the session at  9  AM.

Session 1 - The AI landscape with MATLAB (lecture + demo)

• Akhil Gopinath (MathWorks)

Room: BigBlueButton/RZGö Classical ML, deep learning (CNNs, transformers), and the generative model families (autoencoders, GANs, diffusion, LLMs). When to use which, and where MATLAB fits alongside PyTorch.

Session 2 - Low-code ML & deep learning with MATLAB apps (hands-on)

• Akhil Gopinath (MathWorks)

Room: BigBlueButton/RZGö Train models using Classification Learner, Deep Network Designer, and Experiment Manager. Import pretrained networks from PyTorch and ONNX in a few clicks.

Session 3 - Working with Generative AI in MATLAB (hands-on)

• Akhil Gopinath (MathWorks)

Room: BigBlueButton/RZGö Understanding MATLAB Copilot and how to leverage it to speed up MATLAB coding and code maintenance.

Session 4 - Connecting external AI services to MATLAB (hands-on)

• Akhil Gopinath (MathWorks)

Room: BigBlueButton/RZGö Connect OpenAI, Anthropic, Ollama, and Göttingen's own Chat AI from MATLAB. Generate MATLAB code & Apps from prompts.

Session 5 - Building custom Gen AI agents in MATLAB (hands-on)

• Akhil Gopinath (MathWorks)

Room: BigBlueButton/RZGö Build a domain-aware agent that calls MATLAB functions as tools.

Wrap-up & Q&A

• Akhil Gopinath (MathWorks)

Room: BigBlueButton/RZGö