
edXModern cloud architecture encompasses public, private, and hybrid models—each with distinct trade-offs and technologies. This course surveys the cloud landscape, then dives deep into containerization (Docker, Kubernetes, OpenShift) and cloud-native practices that enable scalable, resilient applications.
Learn to evaluate IBM Cloud services spanning AI, blockchain, and IoT. Master CI/CD pipelines and DevOps principles that automate deployment and maintain quality at scale. By course end, you'll understand how to architect applications that leverage cloud services across multiple environments and deployment models.
Describe the cloud services and evaluate public, private and hybrid cloud options including multicloud, microservices, serverless, cloud native, DevOps and application modernization options. ,Identify and describe emerging and current IBM Cloud services and technologies such as containers, databases, artificial Intelligence and IBM Watson, Blockchain, Internet of Things, and others. ,Access IBM Cloud using graphical interfaces, command line tools, and APIs and explore IBM Cloud services for database, integration, analytics, artificial intelligence, and DevOps services. Then, deploy an application on IBM Cloud using a Starter Kit. ,Explain Cloud Native core principles and practices,and employ CI/CD pipelines to build scalable applications in multicloud architectures. ,Build cloud native applications using containerization tools and technologies including Docker, Kubernetes, Red Hat OpenShift, and Istio and deploy and scale your applications in public, private or hybrid clouds.
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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.
