Get Recognized for Your Azure Skills

Keep up with fast-paced technology changes: select from Microsoft certified role-based training options for Data Scientists, Data Engineers, and AI Engineers.

Azure AI Engineer

Build intelligence into your solutions. Master cognitive services, machine learning, and knowledge mining skills necessary to today’s business with Azure AI Engineering certification training.

Azure AI Engineers use Cognitive Services, Machine Learning, and Knowledge Mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, bots, and agents. Stay on top of these important areas with our training – gain the necessary knowledge for designing Azure AI solutions by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.

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Azure Data Scientist

​As an Azure Data Scientist, you can apply Azure’s machine learning techniques to train, evaluate, and deploy models that solve business problems. Attend Designing and Implementing a Data Science Solution on Azure training where you will gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure’s premier data science service, Azure Machine Learning service, to automate the data science pipeline.

Azure Data Engineer

Azure Data Engineers design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services. It’s a role that requires diverse skills. Technology changes fast, so the following available training options can help you stay ahead of the game:

DP-200T01: Implementing an Azure Data Solution

In this course, attendees will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.

Participants will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which include the optimization and disaster recovery of big data, batch processing, and streaming data solutions.

DP-201T01: Designing an Azure Data Solution

In this course, attendees will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, No-SQL or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data.

Participants will also explore how to design data security including data access, data policies, and standards. They will also design Azure data solutions which include the optimization, availability and disaster recovery of big data, batch processing, and streaming data solutions.

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Interested in the cloud, but aren’t quite sure what it can do for you?

Start with Azure Fundamentals to learn the benefits of cloud computing, features in Azure that will save you time and money, basic strategies for transitioning to the cloud, and more!