Agentic AI Architecture: Think Like an AI Architect

About this course

This course contains the use of artificial intelligence. Agentic AI Architecture is about designing AI systems that can reason, use tools, coordinate specialized agents, maintain context, interact with enterprise systems, and operate safely in production. This course teaches you how to think like an AI architect by breaking down the architecture of an enterprise Agentic AI system from simple chatbot foundations to multi-agent orchestration, MCP integration, security, memory, observability, evaluation, cost management, and production protection.

The course is designed around a practical architectural progression rather than isolated AI concepts. You will see how an Agentic AI solution evolves step by step as new enterprise requirements appear.

The central learning journey is:

Business Problem -> Simple AI Assistant -> Enterprise Integration -> Multi-Agent Architecture -> MCP Tools -> Security -> Memory -> Evaluation -> Observability -> Cost Control -> Production Architecture

This approach helps you understand not only what each component does, but also why an AI architect introduces it and what problem it solves.

Think Like an AI Architect

Building an Agentic AI system is not simply about connecting a large language model to an application.

A production architecture may need to answer questions such as:

• How should an AI agent connect to enterprise systems?
• When should one agent become multiple specialized agents?
• How should agents coordinate?
• How should tools be exposed to agents?
• How should users be authenticated?
• How should sensitive customer information be protected?
• Where should conversation state and memory live?
• How should AI decisions be traced and evaluated?
• How should LLM usage and cost be controlled?

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