Artificial Intelligence & ML Certifications

Compare 20 AI and machine learning certifications across MLOps, generative AI, AI ethics, data science and prompt engineering, with real search demand and exam formats.

ProvidersAPMG International, Amazon Web Services, NVIDIA, Oracle, Databricks, Google Cloud, IAPP, Cisco, Microsoft, Cloudera
LevelsFoundation, Professional, Associate
Total20 certifications
Practice questions3,549
Avg. exam length99 min
Avg. passing score69%

Artificial Intelligence & ML certifications, compared

AI certification is the newest category in this catalogue and the one moving fastest, with twenty credentials across MLOps, generative AI, AI ethics, data science and prompt engineering. It is also the smallest in absolute search demand — which is exactly why the individual numbers on this page matter more than the totals.

Where the demand actually is

Unlike the other categories, the volume in AI does not sit in one giant foundation exam. It is spread across a handful of credentials with volumes in the low thousands, and the leader — the cloud provider's AI practitioner exam — is still under ten thousand searches a month. That is a category where the credentials are established but the demand has not arrived yet.

For anyone choosing today, this is genuinely good news: it means the field is not yet saturated and a credential here is unlikely to be worthless by the time you hold it. It also means you should pick on substance rather than on volume.

Five distinct career tracks

The subcategories on this page are not marketing labels; they map onto genuinely different jobs. MLOps is the infrastructure discipline: deploying, monitoring and retraining models in production. Generative AI is the application discipline: building with large language models and agent frameworks. AI ethics and governance is the risk discipline: what these systems are allowed to do and how you prove it. Data science is the modelling discipline. Prompt engineering is the craft discipline that sits closest to the work itself.

They have very different entry requirements. An MLOps certification assumes you can run infrastructure. A generative AI certification often assumes you can build applications. A governance certification assumes you understand risk frameworks, which means security or audit experience is a better base than coding.

The credential structure is still settling

Because this category moved from specialist to mainstream quickly, the exams are at different stages of maturity. Some have published stable blueprints with several years of question banks. Others were released in the last year and have limited practice material available outside the vendor. Both are worth doing; only one is worth doing with confidence about the format.

How to choose an AI certification

This category rewards choosing the track that matches your existing career rather than the one with the biggest title. Most people are one certification away from being credible in AI, and it is usually not the one that sounds most advanced.

  1. 1

    Extend what you already do

    If you are an infrastructure engineer, the MLOps track is a direct extension of your work. If you are a developer, the generative AI and agent tracks are. The fastest path to being credible in AI is almost never a lateral move.

  2. 2

    Check the exam is performance-based or not

    Vendor AI exams range from pure multiple choice to hands-on labs with a console you operate. The hands-on ones take longer to prepare for and are worth far more per hour of study.

  3. 3

    Budget for a moving target

    AI blueprints change faster than in any other category. Check the certification page for the current version and how recently it was updated before you commit to a study plan.

  4. 4

    Practise the reasoning, not the syntax

    AI exams increasingly test whether you understand what a model will and will not do reliably. Scenario practice beats memorising documentation for this category.

The most searched certifications in Artificial Intelligence & ML

Estimated monthly searches for the keyword each certification competes for, ordered by demand. Total across this category: approximately 73,000 searches a month. Demand is not the same as difficulty, but it is a good proxy for how many people are considering each exam.

CertificationProviderLevelSearches / moFormat
AWS Certified AI Practitioneraws certified ai practitioner certificationAmazon Web ServicesFoundation8,00065 q · 90 min · 70%Practice
Microsoft Certified: AI Business Professionalmicrosoft certified: ai business professional certificationMicrosoftAssociate5,50050 q · 45 min · 70%Practice
Microsoft Certified: Azure AI Apps and Agents Developer Associatemicrosoft certified: azure ai apps and agents developer associate certificationMicrosoftAssociate5,50050 q · 120 min · 70%Practice
Microsoft Certified: Intelligent Applications Builder Associatemicrosoft certified: intelligent applications builder associate certificationMicrosoftAssociate5,50050 q · 120 min · 70%Practice
AWS Certified Machine Learning Engineer – Associateaws certified machine learning engineer – associate certificationAmazon Web ServicesAssociate5,00065 q · 130 min · 72%Practice
Google Professional Machine Learning Engineergoogle professional machine learning engineer certificationGoogle CloudProfessional4,00060 q · 120 minPractice
NVIDIA Certified Associate - AI Infrastructurenvidia certified associate - ai infrastructure certificationNVIDIAAssociate3,50050 q · 90 min · 70%Practice
Databricks Certified Machine Learning Associatedatabricks certified machine learning associate certificationDatabricksAssociate3,50048 q · 90 min · 70%Practice
Implementing and Operating Cisco Collaboration Core Technologies (CLCOR)implementing and operating cisco collaboration core technologies (clcor) certificationCiscoProfessional3,500100 q · 120 min · 80%Practice
NVIDIA Certified Professional - AI Operationsnvidia certified professional - ai operations certificationNVIDIAProfessional3,00060 q · 120 min · 70%Practice
AI Governance Professionalai governance professional certificationIAPPProfessional3,000100 q · 165 min · 75%Practice
NVIDIA Certified Professional - Agentic AInvidia certified professional - agentic ai certificationNVIDIAProfessional3,00060 q · 120 min · 70%Practice

Generative AI5 certifications

MLOps6 certifications

NVIDIA Certified Professional - AI Operations

NVIDIA Certified Professional - AI Operations

NVIDIANVIDIA

Validate your expertise in managing, deploying, and optimizing large-scale AI infrastructure and high-performance computing clusters using NVIDIA technologies.

60 Questions
NCP-AIO
120 min
Min Score 70
AWS Certified Machine Learning Engineer – Associate

AWS Certified Machine Learning Engineer – Associate

Amazon Web ServicesAmazon Web Services

Validate your machine learning skills on AWS cloud. Achieve the AWS Certified Machine Learning Engineer – Associate certification to demonstrate your expertise in ML engineering, model deployment, and MLOps practices.

65 Questions
MLA-C01
130 min
Min Score 72
Databricks Certified Machine Learning Associate

Databricks Certified Machine Learning Associate

DatabricksDatabricks

Validate your skills in building and operationalizing machine learning solutions on Databricks. This associate-level certification covers ML workflows, model development, and deployment using the Databricks Lakehouse Platform.

48 Questions
databricks-certified-machine-learning-associate
90 min
Min Score 70
Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

Google CloudGoogle Cloud

Validate your expertise in designing, building, and productionizing machine learning models on Google Cloud, mastering MLOps, data engineering, and automated pipelines.

60 Questions
GCP-PMLE
120 min
Min Score 75
NVIDIA Certified Associate - AI Infrastructure

NVIDIA Certified Associate - AI Infrastructure

NVIDIANVIDIA

Validate your foundational expertise in deploying and managing the high-performance computing environments required for modern artificial intelligence workloads and large-scale data center operations.

50 Questions
NCA-AIIO
90 min
Min Score 70
Oracle Cloud Infrastructure 2026 for Sunbird Ed Specialty

Oracle Cloud Infrastructure 2026 for Sunbird Ed Specialty

OracleOracle

Validate your technical expertise in designing, implementing, and managing Sunbird ED—an open-source learning platform—on Oracle Cloud Infrastructure (OCI).

40 Questions
1Z0-1119-26
90 min
Min Score 65

AI Ethics4 certifications

Data Science3 certifications

Prompt Engineering2 certifications

Start from your level

The same certifications ordered the way people actually choose them. Foundation exams assume nothing; expert exams assume years of production work.

Frequently Asked Questions

Which AI certification should I start with?▼

The cloud provider practitioner certification is the usual starting point: no prerequisites, the broadest recognition, and the lowest search demand of the leader certifications, which means it is not yet saturated with candidates.

Do I need to know how to code for an AI certification?▼

It depends entirely on the track. Governance and ethics certifications need no programming. MLOps needs infrastructure skills. The generative AI tracks assume you can build applications and read API documentation.

Are AI certifications worth it given how fast the field changes?▼

The fundamentals — evaluation, retrieval, guardrails, monitoring — are stable even when the specific models and frameworks are not. What dates quickly is vendor-specific tooling, so favour credentials built on concepts over credentials built on a product.

How many practice questions does Certilum have for AI and machine learning?▼

Over 3,500 questions across the twenty certifications in this category, mapped to the official domains of each exam so you can see which area you are weakest in.

Which AI certification has the most demand?▼

The cloud provider AI practitioner certification leads with roughly 8,000 searches a month in our estimates, followed by the two Microsoft AI credentials at around 5,500 each. The machine learning engineering certifications follow at approximately 5,000 and 4,000.

Explore other certification categories