Agentic AI marks the shift from reactive models to autonomous, goal-driven systems. These AI agents can understand their environment, reason through problems, plan multi-step actions, and use tools or APIs to achieve high-level tasks. By learning the core parts of agentic architecture—like the Perceive-Reason-Act loop, memory systems, and multi-agent coordination—you will be able to build intelligent agents that automate complex, end-to-end business workflows.

What you will learn

• System integration and controlling architecture: Design and deploy coordinated Multi-Agent Systems for complex problem-solving.
• Application Deployment and Maintenance: Automate application release and monitor the success metrics of the autonomous Agentic Loop.
• Component Engineering and Optimization: Configure, maintain, and expand the agent’s core Tools, Reasoning, and Memory
• Security and Governance Practices: Implement Guardrails and best practices for safe, ethical, and scalable autonomous operation.

Agentic AI