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Aron Mesterbasic
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.
Your course package is designed to provide maximum learning and convenience. This is included in the price of your course:
Your expert instructor will get you ready for the following exam and certification, which is included in your course package and covered by the Certification guarantee.
You´ll have the perfect starting point for your training with these prerequisites:
- Before attending this course, you must have a basic understanding of ERP and CRM concepts.
Using our engaging learning methodology including a variety of tools, we’ll cover the entire curriculum.
Course outline
Module 1: Introduction to Azure Databricks
In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.
Lessons
Getting Started with Azure Databricks
Working with Data in Azure Databricks
Lab : Getting Started with Azure Databricks
Lab : Working with Data in Azure Databricks
After completing this module, you will be able to:
Provision an Azure Databricks workspace and cluster
Use Azure Databricks to work with data
Module 2: Training and Evaluating Machine Learning Models
In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.
Lessons
Preparing Data for Machine Learning
Training a Machine Learning Model
Lab : Training a Machine Learning Model
Lab : Preparing Data for Machine Learning
After completing this module, you will be able to use Azure Databricks to:
Prepare data for modeling
Train and validate a machine learning model
Module 3: Managing Experiments and Models
In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.
Lessons
Using MLflow to Track Experiments
Managing Models
Lab : Using MLflow to Track Experiments
Lab : Managing Models
After completing this module, you will be able to:
Use MLflow to track experiments
Manage models
Module 4: Integrating Azure Databricks and Azure Machine Learning
In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning
Lessons
Tracking Experiments with Azure Machine Learning
Deploying Models
Lab : Deploying Models in Azure Machine Learning
Lab : Running Experiments in Azure Machine Learning
After completing this module, you will be able to:
Run Azure Machine Learning experiments on Azure Databricks compute
Deploy models trained on Azure Databricks to Azure Machine Learning
The Virtual Classroom is an online room, where you will join your instructor and fellow classmates in real time. Everything happens live and you can interact freely, discuss, ask questions, and watch your instructor present on a whiteboard, discuss the courseware and slides, work with labs, and review.
Yes, you can sit exams from all the major Vendors like Microsoft, Cisco etc from the comfort of your home or office.
With Readynez you do any course form the comfort of your home or office. Readynez provides support and best practices for your at-home classroom and you can enjoy learning with minimal impact on your day-to-day life. Plus you'll save the cost and the environmental burden of travelling.
Well, learning is limitless, when you are motivated, but you need the right path to achieve what you want. Readynez consultants have many years of experience customizing learner paths and we can design one for you too. We are always available with help and guidance, and you can reach us on the chat or write us at info@readynez.com.