In this whiteboard design session, you will work with a group to design and implement a solution that combines Azure Databricks with Azure Machine Learning service to build, train and deploy the machine learning and deep learning models. You will learn how to use automated machine learning, model lifecycle management from training to deployment, in batch and real-time inferencing scenarios, and construct deep learning models for Natural Language Processing (NLP) in text classification and forecasting against time-series data. Finally, you’ll learn to compare data with PyTorch and Keras for deep learning.
There are no prerequisites for this course.
This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the ‘About this Course’ and ‘At Course Completion’ areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.
After completing this course, students will understand:
Whiteboard Design Session – Machine Learning
Hands-on lab – Machine Learning
Microsoft Power Platform App Maker
Designing & Implementing Azure AI Solution
Microsoft Azure Administrator
Developing Solutions For Microsoft Azure
Microsoft Azure Architect Design Exam
Implementing Azure Data Solution
Administering Relational Databases On Microsoft Azure