Databricks Certification for AI and Machine Learning: Which One to Take First

If you’re searching “Databricks certification” with AI or machine learning in mind, take the Databricks Certified Machine Learning Associate first. It costs $200, has 48 scored multiple-choice questions, runs 90 minutes and needs no degree or formal prerequisite. It’s the entry point on Databricks’ machine learning track, and the Machine Learning Professional sits one step above it.

Which Databricks Certification Fits an AI or ML Path?

Databricks offers several certifications, and the name you search for most often is just “Databricks certification.” That’s why people land on a pile of options and can’t tell which one matches their goal. For AI and machine learning work, the Machine Learning Associate is the one that lines up.

The associate exam is built around machine learning tasks on the Databricks platform. If your goal is building and deploying models, that’s the target. If your goal is something else, such as pipelines or analytics, a different Databricks track may suit you better, and you should read that track’s exam guide on Databricks’ site.

There’s one step above the associate. The Machine Learning Professional costs $200, has 59 scored questions, runs 120 minutes and recommends 1 or more years of experience. Treat it as a second goal, not a starting point.

What Is the Databricks Machine Learning Associate Exam?

It’s a proctored certification exam with 48 scored multiple-choice questions and a 90-minute time limit. You can take it online or at a test center. Databricks offers it in English, Japanese, Portuguese (BR) and Korean, and the machine learning code on the exam is in Python.

Databricks calls the experience guidance “recommended,” not required. Still, take it seriously. The exam asks about tasks, and tasks are easier to answer when you’ve done them.

What Does the Exam Cover?

Databricks splits the associate exam into four areas, each with a weight. Here’s how the weight is spread, so you know where your study hours should go.

The biggest block is the platform itself, at 38%. That’s the part a general machine learning course won’t teach you, because it’s about how Databricks does things. Model development is the second largest at 31%, and that’s where your Python and modeling skills carry over from any good course.

Deployment is the smallest at 12%. Don’t skip it, but don’t let it eat your time either.

How Do You Prepare for It?

Databricks recommends related training, so start on the exam page and read the exam guide for the associate. It lists the tasks the exam draws from. Turn that list into a checklist, and mark each task as “done it,” “read about it” or “never touched it.”

The “never touched it” column is your study plan. Because the largest share of the exam is the platform, you’ll learn more from working in the environment than from reading about it.

A rough order that works for most people:

1. Read the exam guide and build the checklist.
2. Work through the Databricks Machine Learning area first, since it carries the most weight.
3. Build a small end-to-end project: prepare data, train a model, track it and deploy it. That covers the workflow, development and deployment areas in one pass.
4. Review the areas where your checklist still says “never touched it.”
5. Book the exam when the checklist is mostly “done it.”

Python matters here. The exam’s machine learning code is in Python, so if you’re still shaky on the language, fix that before you book.

How Long Does It Last and How Do You Renew?

The credential is valid for 2 years. Databricks doesn’t have you collect continuing education credits. To recertify, you take the current version of the exam. That means the content you study today may look a bit different at renewal, so check the exam guide again before you re-sit it.

Put your renewal date on a calendar. A lapsed credential is easy to miss, and it’s an awkward thing to discover when an employer asks about it.

What Does the Professional Level Add?

The Machine Learning Professional is the second rung. It also costs $200, but it has 59 scored questions, runs 120 minutes and recommends 1 or more years of hands-on experience. Databricks sets it for people who’ve been doing this work for a while, not for someone just learning the platform.

That gap tells you how to plan. Earn the associate first. Use your first year of real work, or real projects, to build the experience the professional exam expects. Then decide whether the second credential is worth another exam fee for the jobs you’re after.

You don’t need the professional exam to be taken seriously for an entry-level role. Many people will stop at the associate and spend their time on projects and a degree instead.

A Four-Week Plan You Can Adjust

Everyone starts from a different place, so treat this as a frame, not a promise. Databricks recommends 6 or more months of hands-on experience, which means a short crash course won’t replace time on the platform.

Week one. Read the exam guide and build your checklist. Set up a Databricks workspace you can practice in. Read through the Databricks Machine Learning area and try each task once.

Week two. Go deeper on model development, which is 31% of the exam. Train a few models in Python, compare them and record what you tried.

Week three. Work on ML workflows and deployment. Build the small end-to-end project, and push the finished model through to a deployed state.

Week four. Close the gaps. Return to every “never touched it” item on your checklist. Time yourself on practice questions so 90 minutes for 48 scored questions feels comfortable.

If you already work with machine learning every day, you may need less. If you’re new to Python, plan on more.

What Is the Exam Day Like?

You choose between taking the exam online or at a test center. Both are proctored, which means someone is watching, either through your webcam or in the room. If you take it online, check your computer, camera and room ahead of time so a technical problem doesn’t eat into your 90 minutes.

The exam is multiple choice. With 48 scored questions in 90 minutes, you have a little under two minutes for each one. That’s workable if you know the material, and tight if you’re reading code for the first time.

Read each question for the task it describes. Many are about what to do in a given situation on the platform, which is why hands-on practice beats memorizing terms.

Should You Pair It With Other Credentials?

Maybe, but don’t stack credentials for their own sake. A Databricks credential plus a relevant degree is a strong, readable combination. A pile of unrelated certificates is not.

If your plan is broader AI work, see how this exam compares with vendor options in our guide to AI certifications. If you’d like a structured academic credential instead of a vendor exam, our page on artificial intelligence certificate programs explains the university route.

Where Does This Fit Next to an AI Degree?

A certification and a degree don’t compete. The degree gives you the mathematics, programming and modeling background. The Databricks credential shows you can apply that background on one specific platform. Neither one replaces the other.

If you’re still choosing a degree, our lists point to the right fits:

• Online machine learning degrees is the closest match, since the exam is entirely about machine learning tasks.
• Online AI engineering degrees fits if you want to build and ship AI systems, which is where the deployment and workflow areas come in.
• Online applied AI degrees suits you if you’d rather use these tools on business or domain problems than research new methods.

Some people study for the exam while they’re in a program, so the coursework and the platform practice reinforce each other. Others earn the degree first and add the credential when a job calls for it. Both paths work.

For the bigger picture across vendors, read our overview of AI certifications.

What Jobs Can It Help With?

A Databricks credential helps most when the job runs on that platform. It’s a signal that you’ve already worked with it, which can shorten the “can you use our tools” conversation.

• Machine learning engineer roles are the most direct match, since the exam is about training, tracking and deploying models.
• Data engineer roles often sit close to the same platform, and the data side of a machine learning workflow overlaps with that work.
• AI engineer roles build on machine learning skills too, though the title can mean different things at different companies.

No certification promises a job. Open three postings for the role you want and see whether Databricks shows up. If it does, the exam is worth your time. If it doesn’t, put that time into a project you can show.

Is It Worth Taking Without a Degree?

It can be, if you already have hands-on experience and want a way to prove it. The exam has no degree requirement, and the fee is $200, which is small compared with a degree.

But be realistic. Many AI and machine learning job postings ask for a degree, and a certification doesn’t change that. The credential adds a specific skill to your profile. It doesn’t fill the place of a degree for employers who require one.

If you’re early in your career and don’t have a degree, the better question is what order to do things in. Our guide on how to become an AI engineer walks through the paths, and the online AI degrees for career changers list is a good place to look if you’re switching fields.

Mistakes to Avoid

A few things trip people up with this exam and others like it.

Booking before you’ve used the platform. The platform area is the biggest slice of the exam. Reading about it isn’t the same as working in it.

Ignoring the exam guide. It tells you which tasks are fair game. Skipping it means guessing what to study.

Forgetting the renewal. Two years goes by fast, and renewal means taking the exam again.

Treating it as a degree substitute. It’s a complement. Plan for both if the jobs you want ask for both.

How We Checked These Facts

The fees, question counts, time limits, delivery options, exam areas, recommended experience and validity period come from Databricks’ own certification pages for the Machine Learning Associate and Machine Learning Professional. Databricks can change exam details, so confirm on the official exam page before you register.