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DP-090 Implementing a Machine Learning Solution with Microsoft Azure Databricks

Learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

Free

1 day
All levels
0 lessons
0 quizzes
0 students

Course Info

Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you’ll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

What Will I Learn From This Course?

Provision an Azure Databricks workspace and cluster

Use Azure Databricks to train a machine learning model

Use MLflow to track experiments and manage machine learning models

Integrate Azure Databricks with Azure Machine Learning

Methodology

Lectures, visual presentations, hands-on demo files and exercises, Q&A.

Pre-requisites

Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts.

Target Audience

This course is designed for data scientists with experience of Pythion who need to learn how to apply their data science and machine learning skills on Azure Databricks.

Course Outline for This Programme

  1. Provision an Azure Databricks workspace and cluster
  2. Use Azure Databricks to work with data
  3. Working with Data in Azure Databricks
  1. Preparing Data for Machine Learning
  2. Training a Machine Learning Model
  1. Using MLflow to Track Experiments
  2. Managing Models
  1. Tracking Experiments with Azure Machine Learning
  2. Deploying Models
Curriculum is empty
Renganathan

Renganathan Palanisamy has extensive experience in both academic and corporate training arena which enables him to incorporate best practices of both training approach to ensure training delivery is effective and relevant. This is further strengthened by his involvement in various technology related collaboration with renowned players in the industry such as Microsoft, IBM and Oracle. During his service as a Programme Leader in KDU College Sdn Bhd, he was responsible for coordination, collaboration and delivery of courses offered by Sun Microsystems in partnership with Guidance View and as Authorized Sun Education Centre, Oracle under its Workforce Development Programme and Microsoft through its MSDN Academic Alliance Programme.

He started off his early days of involvement in IT industry professing strong inclination towards Java technology and the object oriented design and development practices. He was able to share his in-depth knowledge of the technology via several academic courses and workshops he conducted for students and academic staff alike. Later he ventured into database design and development with Oracle and eventually expanded to include Microsoft SQL Server as well as IBM DB2 and IBM Informix.

Currently his main focus is on delivering Data Management and Business Intelligence tracks which is strongly complemented by his exposure to non-Microsoft related technologies. He has strong understanding of .NET technologies and tools. His knowledge is seeked as evident in his presence at premier events such as Microsoft TechEd and his involvement in SQL PASS local group (SPAN). His technical skills coupled with know-how of training delivery techniques have earned him recognition amongst his peers and attendees of his training sessions. His specialty includes the ability to relate concepts derived from various technologies and ability to ensure smooth transition for trainees migrating to different technology. Resourcefulness is his trademark and this helps enhance the training experience of the attendees.

He is a dynamic and versatile individual. He is willing to take up new challenges to learn and has the ability to apply new skills in a short span of time. Other strengths include good time management, analytical skills, ability to present ideas in innovative ways and most importantly, a sense of responsibility.

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