Description

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.

Course Outline

• Module 1: Introduction to Azure Databricks
  Module 2: Training and Evaluating Machine Learning Models
  Module 3: Managing Experiments and Models
  Module 4: Integrating Azure Databricks and Azure Machine Learning

To know more about the course outline, click here.

Why Choose CloudThat?

CloudThat is the first company in India to offer Cloud Training & Consulting services for mid-market & enterprise clients from across the globe. Since, our inception in 2012, we have  been empowering tech professionals with best-in-class training and consulting services. From personalized mentoring  sessions to self-paced learning modules, we work towards providing a growth-oriented learning experience to help develop technology knowledge and skills.

We have been providing certification training on emerging technologies such as Microsoft Azure, Amazon Web Services, Artificial Intelligence, Machine Learning, Google Cloud, IoT, OpenStack, OpenShift, DevOps, MongoDB, Big Data and more. We have global presence with offices in Bengaluru, Mumbai, UK, and the USA.  

• We are a Microsoft Gold Partner and the winner of Microsoft Learning Partner Year Finalist award, 2020. 
• CloudThat CEO is the MCT Regional Lead for India. 
• Till date CloudThat has trained more than 350K+ professionals in VILT & ILT modes. 
• We are a dynamic team of Microsoft certified trainers and professionals. 
• We have attended to the training and consulting needs of more than 100 clients. 
• We offer 200+ cloud certifications in emerging technologies. 
• Our training modules are equipped with 50%-60% hands-on labs sessions. 

Why Microsoft Azure is the Best Certification?

The job market and opportunities for Microsoft Azure certified professionals have multiplied over the last few years. With increase in demand in Cloud computing domain, Azure certification remains the most popular and widely chosen certification course. Here is why:

• According to reports, around 1,000 new customers daily sign up to Azure which means every year over 365,000 new companies adopt Azure.
• Azure is the fastest-growing enterprise Cloud platform leveraged by leading IT companies across the globe.
• Over 57% Fortune 500 companies use Microsoft Azure.
• Thanks to Azure, Microsoft’s commercial Cloud revenue increased at an annual run rate of $6.3 billion.
• In the US, even the government and their partners leverage Microsoft Azure Government to transform their critical workloads to the secure and compliant Cloud environment.
• 21% of respondents said they received a job offer or promotion upon sharing their Microsoft digital badge with a future employer.
• 41% of respondents said they received positive feedback from their professional network after sharing digital badges.

Benefits of IT Professional Certification

• 85% of enterprises committed to integrate Cloud architecture in their organizations.
• Gives you more professional credibility in any job-related interactions.
• By 2021, more than 38% of IT positions will be Cloud related.
• 19% found a new job.
• 65% experienced their first benefit of certification within 3-4 months.
• 67% acknowledged positive impact on confidence, professional image, and reputation.
• Is more effective at reducing skills gaps.
• Helps keep your skills up to date, making you more valuable to your employer.

Wish to get certified in Microsoft Azure ? Enroll Right Away!

Course Fee: $495

Objectives

• 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

Who Should Attend

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.

Prerequisites

• Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts. Before attending this course, complete the following learning path on Microsoft Learn:1613
  • Create machine learning models

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

Hands-on Lab : Getting Started with Azure Databricks

Hands-on Lab : Working with Data in Azure Databricks

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

Hands-on Lab : Training a Machine Learning Model

Hands-on Lab : Preparing Data for Machine Learning

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

Hands-on Lab : Using MLflow to Track Experiments

Hands-on Lab : Managing 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

Hands-on Lab : Deploying Models in Azure Machine Learning

Hands-on Lab : Running Experiments in Azure Machine Learning

Course Fee

$495