AI Agents Explained!

What happens when AI can actually do things, not just answer questions? In Learning Journey – Series 4, we break down AI Agents in simple terms and explain how they combine LLMs, context, tools, actions, and feedback loops to work toward a goal. Using conceptual examples like flight booking and Kubernetes troubleshooting, we'll understand how an AI agent can interact with tools, evaluate results, decide what to do next, and involve humans when approval is required. In this video: Working of AI Agents How AI agents use tools and APIs Agent decision-making loop Human approval & autonomy Conceptual DevOps/Kubernetes example AI Agent = Model + Context + Tools + Actions + Feedback Loop #AIAgents #GenerativeAI #AI #DevOps #AIAutomation #Kubernetes #LearningJourney