10 hands-on Azure Data Scientist Associate labs covering Azure Machine Learning workspaces, data assets, compute, environments, AutoML, notebooks, MLflow, hyperparameter tuning, jobs, pipelines, model registration, online and batch deployment, prompt engineering, RAG, fine-tuning concepts, and course review.
data-science machine-learning azure courseware hyperparameter-tuning automl azure-machine-learning model-deployment wsq fine-tuning rag mlflow responsible-ai dp-100 prompt-engineering prompt-flow azure-ai-foundry azure-ml-pipelines online-endpoints batch-endpoints
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Updated
Jul 6, 2026