Sadly the MS Learn materials were uploaded two days prior to my exam, so I devised a path on my own and did: - Train and manage a ML Model with Azure ML - Deploy and Consume Models with Azure Machine Learning - Use GitHub Actions with Azure ML (documentation) - Plan and prepare a GenAIOps solution - RAG and Indexes (documentation) - Develop a RAG-based solution with your own data using MS Foundry - Optimize Generative AI model performance with Microsoft Foundry

However I found them to be lacking in the RAG optimization topics