Machine learning operations (MLOps) engineers, showcase your skills with Exam AI-300 (beta).
Do your co-workers rely on you to deploy, operationalize, and maintain machine learning and generative AI solutions in production? Are you working at the intersection of data science, DevOps, and generative AI? If so, the Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate Certification is designed for you.
This Certification validates your ability to operationalize not only traditional machine learning but also generative AI solutions on Azure, reflecting how AI roles have evolved from model experimentation to enterprise-scale AI operations.
To earn this Certification, you need to pass Exam AI-300: Operationalizing Machine Learning and Generative AI solutions, currently in beta.
Key skills validated by this Certification
To earn the MLOps engineer Certification, you must demonstrate your ability to:
- Design and implement secure, scalable MLOps infrastructure.
- Automate resource provisioning and deployments by using GitHub Actions, Bicep, and Azure CLI.
- Orchestrate training, manage model registration and versioning, and monitor production models.
- Deploy and operationalize generative AI solutions by using Microsoft Foundry.
- Implement quality assurance, observability, and safety evaluations for generative AI systems.
- Optimize retrieval-augmented generation (RAG) pipelines and fine-tuned models for performance, accuracy, and cost efficiency.
This Certification replaces the Microsoft Certified: Azure Data Scientist Associate Certification (Exam DP-100), which is retiring on June 1, 2026, and reflects the evolution of AI in the enterprise. Exam DP-100 focused on validating your ability to design and implement data science solutions, including data exploration, model training, evaluation, and deployment. Exam AI-300 expands the scope significantly. It retains training and evaluation but places much stronger emphasis on validating your knowledge and experience in automation, infrastructure as code (IaC), continuous integration and continuous deployment (CI/CD), lifecycle governance, observability, drift detection, cost control, and the operationalization of generative AI systems.
For more details on the retirement of Exam DP-100, and the latest cloud and AI Certification updates, read our recent blog post, The AI job boom is here. Are you ready to showcase your skills?
|
Skill area |
Exam AI-300 (new) |
Exam DP-100 (old) |
|
MLOps infrastructure |
Full CI/CD, IaC (Bicep, Azure CLI), GitHub Actions |
Basic workspace and compute setup |
|
Model lifecycle management |
Core focus, including registration, versioning, rollout/rollback, monitoring |
Full lifecycle from training to deployment |
|
GenAIOps infrastructure |
End-to-end lifecycle, including security, automation, and model management with Foundry |
Basic generative AI setup and experimentation |
|
QA and observability |
Generative AI evaluation, tracing, safety metrics, drift detection, cost monitoring |
Model evaluation and responsible AI principles |
|
Generative AI performance optimization |
RAG optimization, embedding model selection and tuning, advanced fine-tuning, synthetic data management |
Basic prompt engineering and fine-tuning |
Ready to prove your skills?
Take advantage of the discounted beta exam offer. The first 300 people who take Exam AI-300 (beta) on or before April 2, 2026, can get 80% off market price.
To receive the discount, when you register for the exam and are prompted for payment, use code AI300Meridian. This is not a private access code. The seats are offered on a first-come, first-served basis. As noted, you must take the exam on or before April 2, 2026. Please note that this discount is not available in Turkey, Pakistan, India, or China.
Get ready to take Exam AI-300 (beta):
- Review the Exam AI-300 (beta) exam page for details. The Exam AI-300 study guide explores key topics covered in the exam.
- Want even more in-depth instructor-led training? We’re creating new instructor-led training that will be released in late March 2026. Connect with Microsoft Training Services Partners in your area for in-person offerings.
- Need other preparation ideas? Check out Just How Does One Prepare for Beta Exams?
- You can take certification exams online, from home or the office. Learn what to expect in Online proctored exams: What to expect and how to prepare.
The rescore process starts on the day an exam goes live, and final scores for beta exams are released approximately 10 days after that. For details on the timing of beta exam rescoring and results, check out Creating high-quality exams: The path from beta to live.
Ready to get started?
Remember, only the first 300 candidates can get 80% off Exam AI-300 (beta) with code AI300Meridian on or before April 2, 2026.
Stay tuned for general availability of this Certification in May 2026. Learn more about Microsoft Credentials.
Related announcements
We recently migrated our subject matter expert (SME) database to LinkedIn. To be notified of beta exam availability or opportunities to help with the development of exam, assessment, or learning content, sign up today for the Microsoft Worldwide Learning SME Group for Credentials.
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