What Is Agentic AI? Observe, Think, Plan, Act & Learn Explained | Day 12

Welcome to Day 12 of the Mastering Agentic AI series. In this session, we understand Agentic AI — the next level after AI Agents. An AI Agent works toward a goal, but Agentic AI is broader. It can observe the situation, think through possible reasons, plan steps, take action, evaluate results, and improve using feedback. This session explains Agentic AI with simple examples from coding, learning, business, RWS progress tracking, and real software development. Topics Covered ✅ What is Agentic AI? ✅ AI Agent vs Agentic AI ✅ Chatbot → Assistant → Agent → Agentic AI ✅ Observe → Think → Plan → Act → Learn ✅ Agentic AI vs Automation ✅ Agentic AI in MERN Development ✅ Agentic AI in Python Development ✅ Real-world Agentic AI examples ✅ Human approval and safety ✅ How to design an Agentic AI system Key Takeaway AI Agent works on a goal. Agentic AI behaves like an intelligent system that can move complex work forward. Presented by Parwez Alam RWS Trainee Powered by JASIQ Labs | RealWorkStudio (RWS) #AgenticAI #AIAgents #ArtificialIntelligence #GenerativeAI #ChatGPT #AIEngineering #AIAutomation #LLM #PromptEngineering #JASIQLabs #RealWorkStudio #MasteringAgenticAI