Learn to design and manage microservices architecture at scale using AWS and Kubernetes.

This course will teach you how to architect a microservice-based application and show how to organize the communication between different microservices as well as the different front-ends.

In this course, you'll learn about several key principles and patterns that will enable you to successfully deploy, monitor, and manage your microservice applications leading to more scalable and more resilient applications and infrastructure.

In this session, you'll explore the idea to use microservice patterns on the data and divide the model into several smaller ones using the DDD principles.

Security breaches can be very costly, from loss of revenue, reputational damage, and even bankruptcy. In this course, you will learn how to navigate the unique security challenges of a microservice architecture.

Learn Microservice with Python, Docker, & Flask for real-life applications!

This course provides a general overview of microservices: the benefits, the risks, the tradeoffs, and how to decide whether or not they're the right choice for your situation.

Microservices are quickly being adopted by companies worldwide. This course teaches you the basics of microservice architectures from a 10,000-foot high view.

Microsoft 365 is the most popular cloud offering in the world. In this course, you will learn how to perform different Microsoft 365 administration tasks from initial setup to daily management.

This course will teach you how to create, configure, manage, and monitor a Microsoft 365 tenant, as well as discover several ways to manage access to M365, or specific workloads in M365, by using user accounts, groups, M365 roles, and licenses.

This course teaches you how to implement and manage Active Directory synchronization with Entra ID, implement and manage different authentication methods, and secure access to M365 by understanding identity protection and policies.

This course will teach you how to manage sensitive info types, implement retention and sensitivity labels and policies, and implement DLPs for workloads, endpoints, as well as responding to alerts, events, and understanding DLP reports.