What Skills Will You Gain
Designing Databricks-based data pipelines
Implementing Delta Lake for reliable data storage
Orchestrating and scheduling data workflows
Monitoring and optimizing Databricks pipelines

$39.95
$19.99
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$39.95
$19.99
0% Off
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The Implement Data Engineering Solutions with Azure Databricks (DP-3014) course covers designing and implementing data engineering pipelines using Azure Databricks. This is an official vendor training course rather than a proctored certification exam, so the focus is on hands-on, guided practice you can apply immediately. By the end, you'll be comfortable applying these skills in real Microsoft projects.
The Implement Data Engineering Solutions with Azure Databricks (DP-3014) course is built by Whizlabs to walk through these concepts step by step, so the skills you build here transfer directly to real projects.
Designing Databricks-based data pipelines
Implementing Delta Lake for reliable data storage
Orchestrating and scheduling data workflows
Monitoring and optimizing Databricks pipelines
24x7 support from Microsoft-certified experts
This course is valid for 2 years from the date of purchase
Practice tests with unique, exam-style questions
Detailed explanations for every practice question
Hands-on labs using real Microsoft services
Content aligned to current tools and best practices
This is a skill-building course rather than a proctored exam, so there are no official domains or weightings to report. Instead, here are the core skill areas the Implement Data Engineering Solutions with Azure Databricks (DP-3014) course is built around.
Designing Databricks-based data pipelines
Implementing Delta Lake for reliable data storage
Orchestrating and scheduling data workflows
Monitoring and optimizing Databricks pipelines
The Implement Data Engineering Solutions with Azure Databricks (DP-3014) course lays out a clear, self-paced path, so you're not guessing what to work through next.
Start with the video lessons in this Implement Data Engineering Solutions with Azure Databricks (DP-3014) course to build a working model of the core concepts. Then move into the hands-on labs, where you apply what you've learned in a real environment instead of only reading about it.
Since this is a skill-building course rather than a certification exam, there's no practice test score threshold to hit. "Finishing" simply means working through the videos and labs end to end until you're comfortable applying these skills on your own projects.
The Implement Data Engineering Solutions with Azure Databricks (DP-3014) course has no formal prerequisites, so there's no prior certification required to start. It's built as an accessible entry point for anyone building these skills, whether or not you've worked with this technology before.
Because this is a skills course rather than a vendor certification, there's no exam validity period to track. You keep access to the Implement Data Engineering Solutions with Azure Databricks (DP-3014) course and its updates for as long as your course access remains active, per current Whizlabs course terms.
Many learners pair the Implement Data Engineering Solutions with Azure Databricks (DP-3014) course with a related certification-track course to build both practical skill and a formal credential.
This course builds practical, job-ready skills in designing and implementing data engineering pipelines using Azure Databricks. It's a fast way to pick up in-demand capability without needing a formal exam, so you can apply what you learn right away.
Positions you for data engineers and azure databricks developers roles, and signals proven, job-ready expertise in designing and implementing data engineering pipelines using Azure Databricks.
Helps your organization apply designing and implementing data engineering pipelines using Azure Databricks more effectively, reducing risk and improving efficiency in real deployments.
Deepens your hands-on understanding of designing and implementing data engineering pipelines using Azure Databricks, moving beyond theory into practical, job-ready skills.
Associate-level skills like this are consistently linked to stronger salaries and career growth in Microsoft-related roles.
Exam Format and Information
Prior Certification
Not Required
Course Validity
Not Applicable*
Course Fee
Not Applicable*
Course Duration
1 Day
No Proctored Exam
Not Applicable
Assessment
Not Applicable
Best for those with hands-on or working familiarity with designing and implementing data engineering pipelines using.
English.
Hands-on labs and guided exercises (no proctored exam).
There are no formal prerequisites for this course. Hands-on experience with designing and implementing data engineering pipelines using Azure Databricks makes it more approachable. It's designed for data engineers, azure databricks developers, and anyone building these skills.

Data engineers working with designing and implementing data engineering.

Azure Databricks developers building associate-level skills.

IT professionals expanding into this specialization.

Consultants advising clients on Microsoft best practices.

Students and career changers entering the field.

Anyone pursuing the DP-3014 skill set.
The DP-3014 Azure Databricks course teaches you how to build, train, and deploy machine learning models using Azure Databricks. It focuses on real-world ML workflows, including data processing, experiment tracking, and production deployment.
Yes, basic Python knowledge is recommended. Familiarity with ML frameworks like Scikit-Learn or PyTorch will help you learn faster.
You can apply for roles like Machine Learning Engineer, AI Engineer, and Azure Data Engineer, especially in companies using cloud-based ML platforms.
Yes. The DP-3014 certification validates your ability to build scalable ML solutions using Azure Databricks, which is a high-demand skill for AI and data engineering roles.
This course focuses on hands-on labs and real-world scenarios, helping you build production-ready ML systems instead of just learning theory.