Feb 28
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Agentic AI is changing how we design and build intelligent systems. Instead of responding to single prompts, AI agents can plan, reason, take actions, use tools, collaborate with other agents, and continuously improve toward a goal. In this session, we go beyond theory and explore how to design, architect, and implement real-world Agentic AI systems. You’ll learn: ✅ What Agentic AI really means (beyond chatbots) ✅ Core components: goals, memory, tools, reasoning loops, feedback ✅ Agent architecture patterns (single-agent vs multi-agent systems) ✅ Orchestration and decision-making flows ✅ Tool usage, APIs, and external integrations ✅ Guardrails, security, and responsible AI considerations ✅ Real-world use cases in cloud, DevOps, data engineering, and enterprise automation ✅ Best practices for scalability and optimization Whether you are a Solutions Architect, Developer, AI Engineer, or Tech Leader, this session will help you understand how to move from LLM-based applications to fully agent-driven systems. If you want to build production-ready Agentic AI solutions instead of just experimenting with prompts, this video is for you.