AI Agents & Agentic AI — 500 Practice Questions

About this course

Are you looking to strengthen your knowledge of AI Agents and Agentic AI? This course is designed as a comprehensive practice-test resource for learners who want to understand how modern AI agent systems work and test their knowledge through 500 carefully structured practice questions.

The course covers the most important concepts related to AI Agents and Agentic AI, including large language model (LLM) agents, agent architecture, tool use, function calling, reasoning, planning, memory, context management, Retrieval-Augmented Generation (RAG), multi-agent systems, agent workflows, orchestration, evaluation, safety, guardrails, and real-world AI agent applications.

Rather than simply memorizing answers, learners can use the detailed explanations provided with the questions to understand the underlying concepts, why an answer is correct, and how the concept applies to practical AI systems.

The 500 practice questions are organized across multiple sets and include a range of difficulty levels, from foundational concepts to more advanced and challenging scenarios. This makes the course useful for beginners, students, developers, AI enthusiasts, data professionals, and software professionals who want to assess and strengthen their understanding of Agentic AI.By completing the practice questions, you can identify knowledge gaps, reinforce important concepts, improve your confidence, and prepare yourself for further learning, technical discussions, interviews, and real-world AI agent projects.

Start practicing and build a stronger foundation in AI Agents and Agentic AI.

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.