Apr 4
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In this video, we provide a complete agentic ai interview preparation guide by breaking down the top 15 agentic ai interview questions and answers. We cover the entire spectrum of agentic ai system design, from core reasoning frameworks to production-grade reliability. 🚀 Free Course Platform: https://www.analyticsvidhya.com/courses/?utm_source=yt_av&utm_medium=video What we cover in this video: 🔹 Chapter 1: Fundamentals – Agentic vs. Traditional AI, Andrew Ng’s 4 Design Patterns, and the ReAct framework. 🔹 Chapter 2: Architecture Patterns – Implementing reflection, tool use/function calling, memory layers, and comparing frameworks like LangGraph, AutoGen, and CrewAI. 🔹 Chapter 3: Production Concerns – Evals (testing non-determinism), tracing/spans, functional hallucinations, and security governance. Whether you are preparing for an agentic ai engineer interview or an agentic ai system design interview, this video will help you move beyond "just prompting" to building reliable digital workers. Timestamps: 0:00 - Introduction: The shift to Agentic AI in 2026 1:34 - Q1: Agentic AI vs. Traditional AI (Reactive vs. Goal-Oriented) 2:43 - Q2: Andrew Ng's 4 Agentic Design Patterns 4:13 - Q3: What is the ReAct Framework? (Reason + Act) 5:28 - Q4: System Prompts vs. User Prompts (Security & Guiderails) 6:55 - Chapter 2: Architectural Patterns (Building the System) 6:59 - Q5: How Reflection is Technically Implemented 8:11 - Q6: Tool Use & Function Calling Mechanics 9:30 - Q7: Engineering Agentic Memory (Short-term vs. Long-term) 10:50 - Q8: Multi-Agent Orchestration and Routing 12:03 - Q9: Comparing LangChain, LangGraph, AutoGen, and CrewAI 13:37 - Chapter 3: Production Concerns (Reliability & Safety) 13:48 - Q10: What are Evals in Agentic AI? 14:57 - Q11: Tracing, Spans, and Observability 15:53 - Q12: Text Hallucinations vs. Functional Hallucinations 16:53 - Q13: Handling Non-Deterministic Behavior 17:53 - Q14: Risks of Infinite Loops and Agent Sprawl 18:56 - Q15: Security & Deployment Challenges (Least Privilege) 19:50 - Summary: Mastering Agentic AI Engineering #AgenticAI #AIInterview #AgenticAIEngineer #GenerativeAI #SystemDesign #LangGraph #CrewAI #MachineLearning #AIAgents #TechInterviewPrep #GenAI