AI agents are no longer theoretical—they're operational. This course explores Agentic AI: systems that can think, plan, and act independently to complete real-world tasks.

From tool integration and orchestration layers to emerging standards like MCP and A2A, this course helps professionals understand what agentic systems are, how they work, and how to deploy them responsibly across business functions.

✅ What’s covered:

• What makes Agentic AI possible—and how it differs from traditional AI

• The ReAct framework: how agents reason, act, and iterate autonomously

• Tool use, function calling, and how agents communicate with APIs and systems

• Designing single vs. multi-agent architectures and managing autonomy

• Real-world business applications: from customer support to personalized marketing

• Future standards: Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication

• Key challenges in governance, bias, hallucination, and agent drift

• A practical roadmap for strategic adoption and continuous learning

📌 Outcomes:

Learners will gain the knowledge to:

• Understand the architecture behind modern AI agents

• Design and deploy agentic systems suited to their organization’s needs

• Identify high-impact use cases across operations, marketing, and support

• Govern and monitor agent behavior to ensure safety, compliance, and alignment

• Stay ahead in a rapidly evolving AI landscape

This course is ideal for anyone building or overseeing AI systems—and essential for teams evaluating the next frontier in automation.