Cloud-Based Agentic AI Design Patterns

How should agents be deployed in the cloud? How should agents with multiple LLMs be designed? What are the best ways to optimize state data sharing, workload balancing, and solution performance? And, how can agentic solutions be designed to be resilient when having to interact with external services and tools that can be unreliable? These, and many other topics, are covered by LinkedIn Top Voice and best-selling author Thomas Erl, in this course featuring a diverse collection of design patterns geared toward agentic AI solutions in clouds, as well as on-premises environments. In addition to a range of design-centric techniques, this course also outlines agent management and observability practices, including agent activity tracing, policy enforcement, and LLM cost optimizations.