?Microsoft Applied Agentic AI: Systems Design & Impact - https://www.simplilearn.com/agentic-ai-course-training?utm_campaign=Nw0R2jP-A0g&utm_medium=DescriptionFF&utm_source=Youtube
?AI Accelerator Program - From Prompts to Agentic Workflows - https://www.simplilearn.com/ai-accelerator-program?utm_campaign=Nw0R2jP-A0g&utm_medium=DescriptionFF&utm_source=Youtube
?Microsoft Applied Generative AI and Agentic AI Specialization - https://www.simplilearn.com/microsoft-applied-ai-course?utm_campaign=Nw0R2jP-A0g&utm_medium=DescriptionFF&utm_source=Youtube
?Virginia Tech Applied Agentic AI: Systems Design & Impact - https://www.simplilearn.com/vt-applied-agentic-ai-course?utm_campaign=Nw0R2jP-A0g&utm_medium=DescriptionFF&utm_source=Youtube
?Michigan Engineering Generative AI Applications for Leaders - https://www.simplilearn.com/generative-ai-for-business-transformation?utm_campaign=Nw0R2jP-A0g&utm_medium=DescriptionFF&utm_source=Youtube
In this video, we cover the most important Agentic AI interview questions and answers to help you prepare for AI Engineer, Generative AI Engineer, and LLM Engineer roles. Learn key concepts like AI agents, agent architecture, LLMs, RAG, memory, tool calling, LangChain, LangGraph, and multi-agent systems.
This video will help you understand how AI agents work, how they make decisions, and how they are used to build intelligent AI applications.
Like the video, subscribe to our channel, and make sure to comment.
00:00 Introduction to Agentic AI
02:10 AI Agent vs LLM
04:20 Traditional LLM vs Agentic AI
06:30 Core Components of AI Agents
09:00 ReAct Agent Pattern
11:00 Plan and Execute Agents
13:00 Tool Use & Function Calling
15:00 Agent Memory
17:00 Types of Agent Memory
19:00 Agent Loop
20:30 Model Context Protocol (MCP)
22:00 Context Engineering
24:00 Context Compaction
25:30 Single vs Multi-Agent Systems
27:30 AI Subagents & Agent Skills
29:30 State Management
31:00 Agent Orchestration
33:00 AI Agent Evaluation
35:00 Error Handling & Recovery
36:30 Human-in-the-Loop (HITL)
38:00 Guardrails in Agentic AI
39:30 Agent Reflection
41:00 Token Optimization & Cost Management
42:30 Code Agents & Tool Agents
44:00 Multimodal Agents
45:00 LangChain & LangGraph
46:30 Advanced Agent Scenarios
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➡️ About Applied Agentic AI: Systems, Design & Impact
This Agentic AI program offers an end-to-end learning path across AI foundations, generative AI, LLM internals, and multi-agent systems. Learners build practical expertise in agent design, planning frameworks, and go-to-market strategy to drive AI product innovation.
Key Features
✅ Master agentic AI systems, planning frameworks, multi-agent ecosystems, and product strategy in a 10-week, practitioner-level program
✅ Stay ahead of emerging AI trends through Simplilearn's AI Impact Studio and build the skills to identify AI opportunities, automate workflows, and build intelligent AI solutions
✅ Develop expertise in agentic frameworks, multi-agent systems, RAG, MCP, planning systems, workflow automation, and more
✅ Work tools and frameworks like LangChain, AutoGen, CrewAI, n8n, Lovable, Miro, Figma, LangSmith, Jupyter
✅ Brush up on Python essentials and AI-ready workflows before diving into the core Agentic AI courses
✅ Join live, online interactive classes with peer-to-peer engagement on Slack, mentoring sessions, and dedicated cohort support
✅ Earn a joint program completion certificate from Microsoft and Simplilearn
✅ Secure Microsoft Learn badges on the Microsoft Learn portal for the Microsoft-branded courses
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered
✅Workflow Automation
✅ Agentic Frameworks
✅ MultiAgent Systems
✅ Intelligent Automation
✅ GTM for Agentic AI
✅ Ethics and Transparency
✅ LLM Function Calling
✅ Planning Systems
✅ Prompt Engineering
✅UX and UI with Agentic AI
✅ Copilots
✅MCP
✅ RAG
? Enroll Now:https://www.simplilearn.com/agentic-ai-course-training?utm_campaign=Nw0R2jP-A0g&utm_medium=DescriptionFF&utm_source=Youtube