Microsoft Introduces New AI and Data Certifications: AI-300, DP-750, and DP-800

As artificial intelligence and cloud data technologies continue to transform modern businesses, the demand for professionals with advanced AI and data engineering skills is rapidly growing. To help validate these in-demand capabilities, Microsoft has introduced three new certification exams - AI-300, DP-750, and DP-800. These exams focus on key areas such as machine learning operations, cloud-based data engineering, and AI-powered database development within the Microsoft Azure ecosystem. The beta versions of these exams became available in March 2026, with the official release expected in May 2026, offering IT professionals an early opportunity to explore and prepare for these emerging certifications.

AI-300 Machine Learning Operations (MLOps) Engineer Associate

The AI-300 exam is required to earn the Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate certification. This credential is designed for professionals responsible for deploying and managing machine learning and generative AI models in production environments.

MLOps engineers ensure that AI systems operate efficiently, remain reliable, and can be continuously improved. They combine machine learning expertise with DevOps practices to automate the entire lifecycle of AI models.

Key Skills Measured in AI-300

Candidates preparing for the AI-300 exam should focus on the following skill areas:

●Design and implement an MLOps infrastructure

●Implement machine learning model lifecycle and operations

●Design and implement a GenAIOps infrastructure

●Implement generative AI quality assurance and observability

●Optimize generative AI systems and model performance

Professionals working with platforms such as Azure Machine Learning will find this certification particularly relevant, as it emphasizes operationalizing machine learning at scale.

DP-750 Azure Databricks Data Engineer Associate

The DP-750 exam supports the Microsoft Certified: Azure Databricks Data Engineer Associate certification. It focuses on designing and implementing scalable data pipelines using Azure Databricks.

Data engineers play a critical role in modern organizations by preparing and processing data that powers analytics, machine learning, and business intelligence applications. This certification validates the ability to create efficient data architectures that support real-time insights and AI-ready data platforms.

Key Skills Measured in DP-750

Candidates taking the DP-750 exam should be able to:

●Set up and configure an Azure Databricks environment

●Secure and govern Unity Catalog objects

●Prepare and process data

●Deploy and maintain data pipelines and workloads

With organizations increasingly adopting cloud-based data platforms, this certification helps professionals demonstrate their ability to manage large-scale data engineering workflows.

DP-800 SQL AI Developer Associate

The DP-800 exam is required to earn the Microsoft Certified: SQL AI Developer Associate certification. This credential targets developers who want to integrate artificial intelligence capabilities directly into database-driven applications.

Modern applications increasingly rely on intelligent features such as predictive analytics, automated insights, and AI-powered search. The DP-800 certification validates a developer's ability to build these capabilities while maintaining secure and efficient database systems.

Key Skills Measured in DP-800

The exam evaluates the following competencies:

●Design and develop database solutions

●Secure, optimize, and deploy database solutions

●Implement AI capabilities in database solutions

Developers working with Microsoft SQL Server and Azure SQL Database will benefit from this certification, as it emphasizes integrating AI into modern database environments.

Why These New Certifications Matter

The introduction of AI-300, DP-750, and DP-800 reflects the increasing importance of AI-driven data ecosystems. Organizations are building advanced solutions that combine machine learning, data engineering, and intelligent database applications.

These certifications help professionals demonstrate expertise in several critical areas:

●Operationalizing machine learning and generative AI

●Building scalable data pipelines

●Integrating AI capabilities into enterprise applications

●Managing secure and governed cloud data environments

By earning these certifications, professionals can position themselves for roles such as:

●MLOps Engineer

●Cloud Data Engineer

●AI Application Developer

●Data Platform Engineer

Preparing for the Beta Exams

Since the beta exams are available starting in March 2026, early adopters can take advantage of this opportunity to become among the first professionals to earn these credentials when the exams go live in May 2026.

Candidates preparing for these exams should focus on:

●Hands-on experience with Microsoft Azure AI and data services

●Understanding machine learning lifecycle management

●Building scalable data pipelines

●Implementing AI-driven features within database applications

With the launch of AI-300, DP-750, and DP-800, Microsoft continues to strengthen its certification portfolio in the fields of AI, data engineering, and intelligent application development. These new certifications provide professionals with a clear pathway to demonstrate expertise in managing the entire lifecycle of modern AI and data solutions.

As businesses increasingly rely on AI-powered systems and cloud data platforms, earning these certifications can help professionals stay ahead in one of the fastest-growing areas of the technology industry.