Agentic AI Foundations: Exam AGZ-110 Study Guide

Artificial intelligence is shifting from passive chat interfaces to autonomous agents that can plan, use tools, and execute complex workflows. This text-based course provides a clear, conceptual pathway to understanding agentic AI systems and prepares you for the AGZ-110 foundation exam. By reading through these structured lessons, you will transition from understanding basic AI concepts to grasping how multi-agent systems, retrieval-augmented generation (RAG), and autonomous planning work in modern business automation. What you'll learn: 1. Understand the core terminology, architectures, and design patterns of agentic AI. 2. Explore how autonomous agents use planning, memory, and tool integration to solve complex tasks. 3. Analyze the foundational concepts of retrieval-augmented generation (RAG) and vector databases within agent workflows. 4. Learn the basics of multi-agent collaboration and orchestration frameworks. 5. Prepare for the key objective domains covered in the AGZ-110 certification exam. 6. Evaluate ethical considerations, safety guardrails, and security in agentic deployments. The course begins with foundational definitions of agency and autonomy before guiding you through agent architectures, decision-making loops, and practical business use cases. You will wrap up with dedicated exam-preparation insights and written practice scenarios to test your knowledge. This course is designed for business professionals, IT leaders, and aspiring AI practitioners who are new to agentic systems and require no prior programming experience. Start reading today to master the fundamentals of autonomous AI and take your first step toward certification.