Microsoft Azure Solutions Architect

Course Overview

This Microsoft Azure Solutions Architect course provides an overview of the fundamental concepts of cloud architecture and how experts think about the subject. Participants will learn how to design for a cloud-optimized architecture, how monitoring for cloud efficiency can help an organisation gain visibility into cloud costs, and how to leverage infrastructure autoscale automation. The course will also discuss the fundamental level of security, the fundamental borders of our digital environment, and the fundamental segmentation of our resources. Finally, the course will discuss the ongoing battle to maintain our security long after we've put our design into action.

[Applications]
The application of this course can be seen in the design of cloud-optimized architectures, monitoring for cloud efficiency, leveraging infrastructure autoscale automation, and understanding the fundamentals of security, digital environment, and resource segmentation. Additionally, the course can help organisations gain visibility into cloud costs and maintain security long after the design has been implemented.

[Career Paths]
[Title]Cloud Security Engineer
[Description]Learn how to design and implement secure cloud solutions, including identity and access management, data security, and network security. Understand the fundamentals of cloud security, including encryption, authentication, authorization, and auditing. Develop the skills to identify and mitigate security risks in cloud environments. Explore the latest trends in cloud security, such as container security, serverless security, and cloud security automation.

[Title]Cloud DevOps Engineer
[Description]Learn how to design and implement DevOps solutions for cloud-based applications. Understand the fundamentals of DevOps, including continuous integration, continuous delivery, and automation. Develop the skills to build and maintain cloud-based applications using DevOps tools and techniques. Explore the latest trends in DevOps, such as Infrastructure as Code, containerization, and serverless computing.

[Education Paths]
[1] Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, computer architecture, and operating systems. Students will also learn about the latest technologies and trends in the field, such as cloud computing, artificial intelligence, and machine learning.

[2] Master of Science in Cloud Computing: This degree path focuses on the development and implementation of cloud computing solutions. Students will learn about cloud architecture, cloud security, cloud storage, and cloud computing services. They will also gain an understanding of the various cloud platforms, such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

[3] Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. Students will learn about data mining, machine learning, and predictive analytics. They will also gain an understanding of the various data science tools, such as Python, R, and SQL.

[4] Master of Science in Cybersecurity: This degree path focuses on the protection of computer networks and systems from malicious attacks. Students will learn about network security, cryptography, and digital forensics. They will also gain an understanding of the various cybersecurity tools, such as firewalls, intrusion detection systems, and antivirus software.