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Azure Solutions Architect Expert Certification

By enrolling in this course you can qualify to become an Azure Solutions Architect expert, the Next step in your Cloud Architect career

Self-Paced

Learning Style

Microsoft

Provider

Intermediate

Difficulty

Varies

Course Duration

Certificate

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By enrolling in this course you can qualify to become an Azure Solutions Architect expert, the Next step in your Cloud Architect career

Course Information

About this Learning Path:

Microsoft Azure Architect Technologies (AZ-303)

This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include virtualization, automation, networking, storage, identity, security, data platform, and application infrastructure. This course outlines how decisions in each theses area affects an overall solution.

Microsoft Azure Architect Design (AZ-304)

This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include design considerations related to logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. This role requires decisions in multiple areas that affect an overall design solution.

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Outline

More Information

More Information
Brand Microsoft
Subjects Big Data
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Learning Type Learning Path
Difficulty Intermediate
Course Duration Varies
Language English

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Course Expert:

Author

Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

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