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