Free Lesson

Build the Infrastructure Behind Reliable AI Agents

60 min

Nov 13, 2026 7:30 AM

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What you'll learn

Understand the production agent infrastructure stack

See how model gateways, agent runtimes, MCP, identity, state, memory, queues, caching, and observability fit together.

Design agents for reliable execution

Learn how persistence, asynchronous execution, retries, concurrency, and failure recovery change agent architecture.

Secure agent access to enterprise tools

Understand identity, authorization, MCP tool access, tenant isolation and how to control what an agent is allowed to do.

Build an Agentic Infrastructure career roadmap

Learn the systems, platform, cloud, reliability, and production AI skills required for Agentic Infrastructure roles.

Plan your career in Agentic AI infrastructure

Map framework, distributed-systems and production AI skills to careers in Agentic Infrastructure and AI Platforms.

Why this topic matters

As AI agents move from demos to production, reliability depends on much more than prompts and models. Teams need secure tool access, identity, memory, queues, caching, observability, and failure recovery. Understanding this infrastructure is essential to build agents that can run safely, scale reliably, control cost, and recover gracefully when real-world systems fail.