Top Microsoft Certification Courses
Microsoft Courses and Certification Prep courses from Microsoft
This course in an introduction to Microsoft Azure services. Students will gain familiarity with core Azure topics and practice implementation of infrastructure components
Introduction to Microsoft Azure Cloud Services
This course can help you prepare for AZ-900: Microsoft Azure Fundamentals exam. This is the first course in a four-course program that prepares you to take the AZ-900 certification exam. This course teaches you the core concepts and skills that are assessed in the cloud concepts and core Microsoft Azure services exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product.
Microsoft Azure Developer Associate (AZ-204) Professional Certificate
This Professional Certificate is intended for developers participating in all phases of cloud development from requirements, definition, and design; to development, deployment, and maintenance; to performance tuning and monitoring. This program teaches developers how to create end-to-end solutions in Microsoft Azure
Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate
This Professional Certificate is intended for data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure.
Microsoft 365 Fundamentals Specialization
This Specialization is intended to help all novice computer users get up to speed with Microsoft 365 quickly. It covers different features of the interface, shows you how to perform basic tasks, and introduces you to the most important tools in Word, PowerPoint, and Excel
Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization
This Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization consists of four courses that will act as a bedrock of fundamental knowledge to prepare you for the AZ-900 certification exam and for a career in the cloud. The content of this program is tightly aligned to the AZ-900 exam objective domains.
Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate
Launch Your Career in Data Science. Apply data science and machine learning to implement and run machine learning workloads on Azure.
Microsoft Azure Data Fundamentals DP-900 Exam Prep Specialization
Launch Your Career in Data Science. Learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.
Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization
Launch Your Career in Artificial Intelligence. User services on Microsoft Azure to create AI solutions
Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate
Microsoft Power Platform Fundamentals
Microsoft’s Power Platform is not just for programmers and specialist technologists. If you, or the company that you work for, aspire to improve productivity by automating business processes, analyzing data to produce business insights, and acting more effectively by creating simple app experiences or even chatbots, this is the right course to kick-start your career and learn amazing skills.
Work Smarter with Microsoft Excel
This course is intended for learners with some experience using Microsoft Windows, who are seeking to build skills with Microsoft Excel. To be successful in this course you should have an understanding of the basics of using a Windows-based computer. Experience with printing and using a web browser are an asset, but not required.
Work Smarter with Microsoft Word
This course is intended for learners with some experience using Microsoft Windows, who are seeking to build skills with Microsoft Word. To be successful in this course you should have an understanding of the basics of using a Windows-based computer. Experience with printing and using a web browser are an asset, but not required.
Work Smarter with Microsoft PowerPoint
This course is intended for learners with some experience using Microsoft Windows, who are seeking to build presentation skills with Microsoft PowerPoint. To be successful in this course you should have an understanding of the basics of using a Windows-based computer. Experience with printing and using a web browser are an asset, but not required.
Knowing how to use Microsoft Office products is essential in any professional setting. Whether you want to expand your expertise to apply for a new role, start your own business, or simply develop a new personal skill this course is for you.
Create Machine Learning Models in Microsoft Azure
Microsoft Azure Machine Learning for Data Scientists
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code.
Microsoft Azure for Data Engineering
Launch Your Career in Data Engineering. Master designing and implementing data solutions that use Microsoft Azure data services
This Professional Certificate is intended for data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure.
Data Storage in Microsoft Azure
This course is designed to prepare you for roles that include planning and creating a suitable working environment for data science workloads on Azure. You will learn how to run data experiments and train predictive models. In addition, you will manage, optimize, and deploy machine learning models into production.
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