JUMPSTART YOUR

Azure Databricks Course

Current Status
Not Enrolled
Price
₹10,000.00
Get Started
or

Overview:

The Azure Databricks course spans over 10 weeks, covering concepts for big data analysis and machine learning. In this course, participants learn how to create and manage data clusters, develop pipelines, and use Databricks for data processing in a collaborative environment.
This Azure Databricks certification course includes fundamentals of Databricks, data import and export, cluster management, developing pipelines, SQL analytics, and advanced features like stream processing, machine learning and AI, and integrating with Azure storage. We have also included a security and compliance module for Azure Databricks.
With our hands-on projects, learners will gain an experience in creating and managing data in a collaborative environment. After the completion of the course, participants will be able to easily use Azure Databricks for big data process and machine learning.

What You'll Learn

Course Content

Expand All
Module 1: Getting Started with Databricks
Module 2: Developing with Databricks
Module 3: Advanced Databricks Features
Module 4: Security and Compliance

FAQs

1. What is Azure Databricks, and why should I learn it?

Azure Databricks is a cloud-based analytics platform that is made for big data and machine learning. It allows learners to process large datasets, build data pipelines, and use machine learning models at scale, making it an important tool for data analytics.

2. Who should take the Azure Databricks course?

Data engineers, data scientists, and analytics professionals can enrooll in the Azure databricks course online to master big data processing, collaborative data workflows, and advanced analytics on Azure.

3. What will I learn in the Azure Databricks course?

You’ll learn:
Setting up Azure Databricks and managing workspaces.
Building data pipelines with Apache Spark for scalable solutions.
Integrating Databricks with Azure services like Data Lake and Synapse Analytics.
Creating and deploying machine learning models on Databricks.
Optimizing performance with Delta Lake and Spark SQL.

4. How long does it take to complete the Azure Databricks course?

This Databricks course needs 2 to 3 weeks to be completed, with a commitment of 1 hour per day. Our course is flexible so you can easily fit azure databricks online training in your schedule.

5. Are there prerequisites for enrolling in this course?

A basic understanding of Python or SQL is a good-to-have for this Azure Databricks tutorial course. Moreover, knowledge of cloud computing concepts and big data tools like Apache Spark is helpful but not mandatory.

6. Will I work on real-world projects during the course?

Yes! There are some hands-on projects in this course like:
Designing and implementing data pipelines.
Building predictive analytics workflows.
Optimizing big data processing with Delta Lake.
Deploying machine learning models using Azure ML and Databricks.

7. What tools and platforms will I use in this course?

The tools and platforms you will use in this course are:
Azure Databricks for collaborative analytics and machine learning.
Apache Spark for distributed data processing.
Delta Lake for efficient storage and query performance.
Azure Data Lake, Blob Storage, and Synapse Analytics for data integration.

8. What career opportunities are available after completing this course?

After completion, you can pursue roles like Data Engineer, Big Data Specialist, AI Engineer, or Analytics Consultant. Azure Databricks expertise has a high demand in industries because it leverages cloud-based big data solutions.

9. Will I receive a certification after completing the course?

Yes, we will provide an Azure Databricks Machine Learning Certification that helps you demonstrate your proficiency in building and managing data workflows on Azure.

10. How does this course differ from other data engineering courses?

We have created this course specifically for Azure Databricks, and it focuses on integrating with other Azure services, collaborative workflows, and advanced analytics, making it uniquely suited for Azure professionals.

Scroll to Top