Course Overview
Target audiences
- The Operationalize Cloud Analytics Solutions with Microsoft Azure training is ideal for data engineers, architects and developers who are looking to develop, build and deploy cloud analytics solutions, such as streaming and batch processing solutions, machine learning (ML) models and serverless architectures, by using Microsoft Azure services.
- The course is designed for individuals who already have a basic understanding of cloud analytics and Azure services, as well as those who are looking to learn the best practices for working in the cloud.
- The course also caters to professionals who already have working experience with Azure and would like to extend their skills by learning how to best utilize the various services available on the platform.
Schedule Dates
Curriculum
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Module 1: Operationalize end-to-end cloud analytics solutions
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Module 2: Appendix B: PowerShell for Technology Professionals (Optional)
Yes, at the end of the course, you will receive a certificate of completion that you can share on your professional network or add to your resume. To obtain the certificate, you must complete all the required modules and pass the final assessment with a passing score. The certificate of completion demonstrates your proficiency and knowledge in operationalizing cloud analytics solutions with Microsoft Azure, which can be valuable for employers or clients who are looking for individuals with these skills.
Yes, there are several advanced courses you may consider:
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure Solutions Architect Expert
Developing Solutions for Microsoft Azure (AZ-204)
Implementing and Administering Microsoft Azure Cosmos DB (DP-040)
These advanced courses and certifications can help you expand your knowledge and skills in cloud analytics solutions and make you more competitive in the job market.
Cloud service providers like Microsoft Azure often provide extensive online documentation and tools. These documents can include product documentation, tutorials, code samples, and other resources to help learners understand how to use Azure for analytics.
Videos and webinars: In addition to written materials, videos, and webinars can be a valuable resource for learners to see demonstrations of how to use Azure for analytics. Hands-on labs and exercises: Hands-on exercises and labs can provide learners with the opportunity to practice using Azure for analytics in a simulated environment.