In this module, you’ll examine architecture and network design approaches used in hybrid and multicloud environments. You’ll explore availability and redundancy patterns, workload portability using containers, and global routing and failover strategies. Use the hands-on lab opportunities to learn how hybrid cloud architects compare trade-offs and select patterns that support resilience and portability across providers.

In this module, you’ll explore how data placement, replication, recovery objectives, and automation governance affect hybrid and multicloud architectures. You’ll examine latency and sovereignty considerations, replication and recovery models, and policy controls in Infrastructure as Code (IaC) and deployment pipelines. You will also engage in an interactive, AI-powered dialogue that explores automation risk trade-offs. Through scenario-based hands-on experiences, you’ll analyze how governance and automation practices support consistency and risk control.

In this module, you’ll complete an AI-graded, portfolio-ready final project that brings together the design concepts covered throughout the course. You’ll review a realistic hybrid and multicloud scenario, evaluate architectural choices, and document your design decisions. Take advantage of the course glossary, which provides clear definitions of key terms, architectural patterns, and cloud concepts to support your analysis and ensure you’re using industry-standard language correctly. The module concludes with a final assessment that tests your understanding of the concepts learned, followed by a course wrap-up that reinforces key architectural principles and prepares you to apply them in real-world environments. You’ll also explore recommended next steps to continue growing your cloud and architecture skills.