What Skills Will You Gain
Advanced ML pipeline design on Databricks
Model deployment patterns and serving
ML monitoring, drift detection, and retraining
Governance and reproducibility for ML workflows
Databricks Certified Machine Learning Professional (ML Professional) Certification Training
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Practice Tests
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Practice Tests
$65.95
$22.99
0% Off
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Course Overview
The Databricks Certified Machine Learning Professional course covers productionizing, deploying, and monitoring ML solutions on Databricks. You'll work through structured video lessons and exam-style practice questions that mirror the real ML Professional exam, building the practical judgment needed to apply these skills on the job. By the end, you'll be ready to sit the ML Professional exam and earn the Databricks Certified Machine Learning Professional credential. This Databricks Certified Machine Learning Professional training pairs guided lessons with a full Databricks Certified Machine Learning Professional practice test, so you walk into the ML Professional exam fully prepared.
Whether you're brand new to this area or brushing up before the ML Professional exam, this course paces the material so nothing feels rushed.
Key Features
24x7 support from Databricks-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 Databricks services
Downloadable ML Professional cheat sheet for quick revision
Domains and Weightage
Official domain-by-domain weightings for the ML Professional exam were not included in the source data for this page, so the skill areas below are listed without percentage breakdowns. Verify current weightings on the vendor's official Databricks Certified Machine Learning Professional exam guide before publishing.
Advanced ML pipeline design on Databricks
Model deployment patterns and serving
ML monitoring, drift detection, and retraining
Governance and reproducibility for ML workflows
How to Prepare for the Exam
The Databricks Certified Machine Learning Professional course lays out a clear path to the ML Professional exam, so you're not guessing what to study next.
Start with the video lessons in this Databricks Certified Machine Learning Professional course to build a working understanding of the core concepts the ML Professional exam covers. Then move into the hands-on labs to apply what you've learned in a real environment instead of just reading about it.
Next, work through the ML Professional practice test set. Each Databricks Certified Machine Learning Professional practice test question comes with a detailed explanation, so a wrong pick becomes a lesson you actually retain.
When your ML Professional practice test scores stay consistently above the passing mark, you're ready to book the Databricks Certified Machine Learning Professional exam. For a fuller walkthrough, refer to a dedicated Databricks Certified Machine Learning Professional exam preparation guide alongside this course.
Certification Path
The ML Professional certification recommends holding the ML Associate certification first, though this may not be a strictly enforced prerequisite.
Once you pass, the Databricks Certified Machine Learning Professional certification stays valid for 2 Years. Before it expires, you can renew the ML Professional certification by retaking the current exam.
Many learners treat the Databricks Certified Machine Learning Professional certification as a step within a broader vendor certification track. Check Whizlabs' related course listings for a logical next-level credential once you've completed this ML Professional course.
Why Get ML Professional Certified?
This certification validates your ability to work with productionizing, deploying, and monitoring ML solutions on Databricks. It signals to employers that you can apply these skills in real Databricks projects, supporting stronger roles, responsibilities, and career growth.
Benefits that Databricks Certified Machine Learning Professional Certification offers
Career Advancement
Positions you for senior ml engineers and mlops engineers roles, and signals proven, job-ready expertise in productionizing, deploying, and monitoring ML solutions on Databricks.
Business Advantage
Helps your organization apply productionizing, deploying, and monitoring ML solutions on Databricks more effectively, reducing risk and improving efficiency in real deployments.
Skill Development
Deepens your hands-on understanding of productionizing, deploying, and monitoring ML solutions on Databricks, moving beyond theory into practical, job-ready skills.
Earning Potential
Professional-level certifications like this are consistently linked to stronger salaries and career growth in Databricks-related roles.
Exam Format and Information
Databricks Certified Machine Learning Professional (ML Professional) Certification Training
Prior Certification
ML Associate
Exam Validity
2 Years
Exam Fee
200 USD
Exam Duration
120 Minutes
No. of Questions
60 Questions
Passing Score
70%
Recommended Experience
Best for those with hands-on or working familiarity with productionizing, deploying, and monitoring ML solutions on.
Languages
English.
Exam Format
Multiple choice questions.
Who Can Take the ML Professional Exam?
There are no formal prerequisites for this exam. Hands-on experience with productionizing, deploying, and monitoring ML solutions on Databricks makes it more approachable. It's designed for senior ml engineers, mlops engineers, and anyone building these skills.
Senior ML engineers working with productionizing, deploying, and.
MLOps engineers preparing for professional-level certification.
IT professionals expanding into this specialization.
Consultants advising clients on Databricks best practices.
Students and career changers entering the field.
Anyone pursuing the ML Professional credential.
Learning Resources
Frequently Asked Questions
While Azure Databricks is Spark-based, it allows commonly used programming languages like Python, R, and SQL to be used.
Azure Databricks is primarily employed for processing, storing, cleaning, sharing, modeling, and monetizing datasets, offering solutions that range from Business Intelligence (BI) to machine learning. The Azure Databricks platform enables the construction of diverse applications catering to various data personas.
Taking Databricks Machine learning certification helps to perform advanced machine learning in production tasks.
No, you must have some skills and knowledge in Databricks fundamentals to clear this professional-level course.
Databricks is an ETL tool and it is used to accelerate the performance and functionality of ETL pipelines.
Yes, passing the Databricks Certified Machine Learning Professional certification is somehow difficult and you must have a solid understanding of machine learning related tasks.
Databricks workspaces will be hosted on Amazon AWS, Microsoft Azure, and Google Cloud Platform. And thus you can use Databricks on any of these hosting platforms to access data wherever you keep it, regardless of the cloud.
Databricks Certified Machine Learning Professional certification is valid for two years following the date on which each candidate passes the certification exam.