IL - Cloud Workshop: Machine Learning
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.
- Duration: 1 Day
- Level: 300
Who this course is designed for
- 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.
- The capabilities and implementation solutions of Azure Machine Learning and Azure Databricks
- Working knowledge of Azure
Module 1: Whiteboard Design Session - Machine Learning
Review the customer case study
Design a proof of concept solution
Present the solution
Module 2: Hands-on lab - Machine Learning
Creating a forecast model using automated machine learning
Understanding the automated ML generated forecast model using model explainability
Creating a deep learning model (RNN) for time series data and registering the model
Using a forecast model for scoring of streaming telemetry
Creating a deep learning text classification model
This course can be delivered dedicated to your team either virtually or onsite. A dedicated delivery allows deeper discussion with your team and our instructor on projects and workloads that are specific to your environment.
This course can be customized by adding or removing topics, going deeper on specific topics, or by customizing the delivery schedule to make it easier for your team to attend the training.Contact a Cloud Training Specialist