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.
Prerequisites
There are no prerequisites for this course.
Intended Audience
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.
Why The DataTech Labs ?
Self-Paced Online Video
A 360-degree learning approach that you can adapt to your learning style
A 360-degree learning
Engage and learn more with these live and highly-interactive classes alongside your peers
24/7 Teaching Assistance
24/7 Teaching Assistance
Keep engaged with integrated teaching
Online Practice Labs
Projects provide you with sample work to show prospective employers.
Applied Projects
Real-world projects relevant to what you’re learning throughout the program
Learner Social Forums
A support team focused on helping you succeed alongside a peer community
Skill Covered
After completing this course, students will understand:
The capabilities and implementation solutions of Azure Machine Learning and Azure Databricks.