Explore Paul Iusztin’s Agentic AI Engineering (2026), a practical learning resource focused on building production-ready AI agents. Learn about agent workflows, tool calling, context engineering, multi-agent systems, evaluation, observability, and deployment. Explore how technologies such as LangGraph, LangChain, and Google Cloud Platform can support real-world AI applications. Designed for developers and AI practitioners with programming experience who want to move beyond basic LLM demonstrations and understand the engineering behind reliable AI systems.