🔥Agentic AI Interview Questions & Answers 2026 | Complete AI Engineer Interview Guide | Intellipaat

🔥Enroll For Agentic AI Course: https://intellipaat.com/agentic-ai-sy... 🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97 This video is a complete guide to Agentic AI vs Generative AI, helping you understand how modern AI agents work and how they are transforming automation. You’ll learn the core components of AI agent architecture, including memory, planning, tools, and execution, along with a deep dive into short-term vs long-term memory in AI systems. Whether you're a beginner or an experienced developer, this tutorial breaks down complex concepts like reactive vs deliberative agents in a simple and practical way. We also walk through a step-by-step approach to building autonomous AI agents, covering popular frameworks such as LangChain, CrewAI, AutoGen, and LlamaIndex. The video explains how Agentic RAG (Retrieval-Augmented Generation) pipelines help reduce hallucinations and improve accuracy in AI applications. You’ll also explore Human-in-the-Loop (HITL) strategies for AI governance and learn how to manage multi-agent systems and emergent behavior, which are critical for building reliable and scalable AI solutions. Finally, we cover real-world insights including a case study on AI incidents, along with best practices for AI safety guardrails, error handling, and rollback mechanisms. You’ll also discover practical tips for AI cost optimization and reducing API costs by up to 50%, making your AI systems more efficient and production-ready. This video is perfect for anyone interested in AI agents, generative AI, LLM applications, automation, and future AI technologies. Below are the topics covered in the video: 00:00 Introduction 01:10 What Is Agentic AI vs Generative AI? 02:00 The 5 Core Components of an AI Agent Architecture 03:32 Why Memory Is Critical (Short-term vs Long-term) 05:04 Reactive vs Deliberative AI Agents Explained 06:18 6-Step Approach to Building Autonomous Agents 08:10 Choosing Right Frameworks (LangChain, CrewAI, AutoGen, LlamaIndex) 09:28 How Agentic RAG Pipelines Eliminate Hallucinations 11:05 Human-in-the-Loop (HITL) for AI Governance 12:29 Managing Emergent Behaviour in Multi-Agent Systems 13:50 Case Study: Moltbook 2026 Incident & NVIDIA NemoClaw 14:28 Designing 5-Layer Guardrails for Agent Safety 16:34 Implementing Rollbacks & Error Handling 17:48 AI Cost Optimization: Reducing API Spend by 50% #agenticai #aiinterviewquestions #aiengineer #aijobs2026 #generativeai #llm #aiengineering #aiagents #aiinterviews #machinelearning #rag #langchain #crewai #autogenestraining ➡️ About the Course The Agentic AI Course for Non-Tech Professionals by Intellipaat is designed to help beginners and working professionals learn how to use AI agents to automate tasks and boost productivity without any coding knowledge. This 2-month online bootcamp includes live classes, hands-on projects, and practical use cases where learners build real-world Agentic AI workflows using tools like n8n, LangChain, and Zapier. The course covers everything from basic concepts to advanced applications such as workflow automation, data analysis, and multi-agent systems, along with certification and placement support to make learners industry-ready. 📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb ▶️ Intellipaat Achievers Channel:    / @intellipaatachievers   📚For more information, please write back to us at [email protected] or call us at IND: +91-7022374614 / US : 1-800-216-8930