DP-100 Azure Data Science Solution:3-Day Workshop

Qualitia Energy

This course 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 course, 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. COURSE AGENDA DAY 1: Module 1: Introduction to Azure Machine Learning Module 2: No-Code Machine Learning with Designer Module 3: Running Experiments and Training Models Hands-on Exercises DAY 2 Module 4: Working with Data Module 5: Compute Contexts Module 6: Orchestrating Operations with Pipelines Module 7: Deploying and Consuming Models Hands-on Exercises DAY 3 Module 8: Training Optimal Models Module 9: Interpreting Models Module 10: Monitoring Models Hands-on Exercises
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