The pathway to AI, Data Science, and Cloud Computing.
The pathway to AI, Data Science, and Cloud Computing.
Available Certifications
This exam is designed for candidates looking to demonstrate foundational knowledge on the considerations and benefits of adopting cloud services in general and the Software as a Service (SaaS) cloud model. This exam will also cover knowledge of available options and benefits gained by implementing Microsoft 365 cloud service offerings.
This exam can be taken as a precursor to cloud computing and technologies exams such as Office 365, Microsoft Intune, Azure Information Protection (AIP), and Windows 10.
This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. It is intended for candidates with both technical and non-technical backgrounds.
Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.
This exam is intended for candidates beginning to work with data in the cloud.
Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services, and should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.
Candidates for this exam are users who aspire to improve productivity by automating business processes, analyzing data to produce business insights, and acting more effectively by creating simple app experiences.
Available Certifications
This exam is designed for candidates looking to demonstrate foundational knowledge on the considerations and benefits of adopting cloud services in general and the Software as a Service (SaaS) cloud model. This exam will also cover knowledge of available options and benefits gained by implementing Microsoft 365 cloud service offerings.
This exam can be taken as a precursor to cloud computing and technologies exams such as Office 365, Microsoft Intune, Azure Information Protection (AIP), and Windows 10.
This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. It is intended for candidates with both technical and non-technical backgrounds.
Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.
This exam is intended for candidates beginning to work with data in the cloud.
Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services, and should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.
Candidates for this exam are users who aspire to improve productivity by automating business processes, analyzing data to produce business insights, and acting more effectively by creating simple app experiences.
We empower individuals to take charge of their skills and put the decision-making powers directly in their hands, as they discover their capabilities through exploratory learning by working on real-world scenarios.
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