Cloud Architecture: Advanced Concepts

About This Course

This is Lee’s longest and most recent LinkedIn Learning course — ten chapters on what a cloud infrastructure actually needs once you’re past picking a provider and spinning up a VM.

It moves from the fundamental cloud types and structures through microservices, data management, and serverless computing, into cloud security and the operational reality of constructing and managing infrastructure at scale — then closes with three subjects most cloud courses skip entirely: where AI fits into cloud architecture, what changes at the edge, and cloud sustainability and green computing.

What You’ll Learn

• Choosing the right cloud types and structures for a workload — public, private, hybrid, multi-cloud — and defending the choice
• Structuring systems as microservices instead of one large deployable
• Managing data and data flows across a distributed cloud architecture
• Deciding when serverless computing is the right call, and when it isn’t
• Building cloud security in from the start, then constructing and managing an infrastructure that’s built to run, not just launch
• Where AI actually fits into cloud architecture, what’s different at the edge, and what cloud sustainability and green computing means for the decisions you make

Who This Is For

Architects and senior engineers who already have foundational cloud architecture experience and are ready to go deep on the full architecture — from the infrastructure layer through AI, the edge, and sustainability.