AI agents are no longer just a trend, they are becoming a core part of modern software systems. But most courses stay at the surface, focus only on frameworks, or hide the engineering details behind black boxes. This course takes a different path.
In AI Engineer Path: AI Agents & Agentic AI – ReAct, RAG (C++), you will learn how to build agentic AI systems from the ground up in modern C++. Instead of relying on abstractions, you will understand how real agents work, how they reason, use tools, retrieve knowledge, manage memory, coordinate with other agents, handle safety and move toward production-ready system design. The course structure you shared covers exactly that progression from PRAO and tool use to ReAct, RAG, memory, multi-agent coordination, evaluation, safety, human-in-the-loop and observability.
You will not just watch theory. You will build your understanding through self-contained C++ sections designed to make every major concept concrete and practical. That means you will see how agent loops work, how tool calling is structured, how retrieval pipelines are assembled, how memory layers can be organized and how advanced systems are evaluated and monitored.
