The rapid evolution of AI at the edge, particularly in embedded systems, small language models (SLMs), and multi-agent architectures, is poised to revolutionize industries like IoT and robotics. Yet, integrating these disparate elements into scalable, real-world solutions for resource-constrained environments remains a significant challenge. This book, authored by Vikram Singh Sankhala, bridges this gap by providing a comprehensive, hands-on guide focused on practical, protocol-driven AI integration. It introduces architectures combining embedded AI, SLMs, and agentic systems with cloud LLMs, emphasizing the use of key protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for seamless communication and interoperability.