DP-100 Azure Data Science Solution:1-Hour Briefing

Qualitia Energy

This briefing is designed for data scientists with existing knowledge of Python and machine learning frameworks, who want to build and operate machine learning solutions in the cloud.
DP-100 Designing and Implementing a Data Science Solution on Azure Before attending this briefing, students must have: Fundamental knowledge of Microsoft Azure Experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib. Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or Tensorflow. AGENDA Module 1: Introduction to Azure Machine Learning Module 2: No-Code Machine Learning with Designer Module 3: Running Experiments and Training Models Module 4: Working with Data Module 5: Compute Contexts Module 6: Orchestrating Operations with Pipelines Module 7: Deploying and Consuming Models Module 8: Training Optimal Models Module 9: Interpreting Models Module 10: Monitoring Models NOTE: Please contact us for group discounts and flexible scheduling for all of our workshops to meet your requirements.
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