Learn how agentic AI transforms work from task completion to intelligent orchestration. Design, deploy, and manage AI agents that execute business processes – autonomously.

Once you understand what AI can do, the next frontier is teaching it to act independently – making decisions, completing multi-step workflows, and coordinating across systems without constant human intervention.

This course shows you how to design, implement, and manage AI agents that don’t just assist with work but actively execute business processes on your behalf. You’ll learn how to define agent goals, set guardrails, orchestrate multi-agent workflows, and integrate agentic systems into your existing operations.

You’ll also explore how to identify which processes are ready for agentic automation, how to build trust through transparency and control mechanisms, and how to monitor agent performance over time. From simple task automation to complex decision-making workflows, you’ll gain practical skills for deploying AI that works alongside – and sometimes ahead of – your team.

By the end, you’ll be able to design agentic AI solutions that not only save time but fundamentally reshape how work gets done in your organization.

Skills You’ll Learn

• Identifying high-value use cases for agentic AI in business processes
• Designing agent workflows with clear objectives, constraints, and decision trees
• Setting guardrails, approval gates, and human-in-the-loop controls
• Orchestrating multi-agent systems for complex, multi-step processes
• Prompting agents for autonomous task execution and decision-making
• Monitoring agent performance, accuracy, and decision quality
• Building trust through transparency logs and explainable AI outputs
• Troubleshooting agent failures and refining workflows based on outcomes
• Scaling from pilot agents to production-ready automation
• Managing stakeholder change when introducing autonomous AI

Tools You’ll Use

• ChatGPT with Code Interpreter and Custom GPTs
• Claude.ai with computer use capabilities
• Microsoft Copilot Studio
• Zapier for workflow automation
• API integrations (e.g., Slack, Google Workspace, CRM platforms)

Included Handouts

• Agentic AI readiness assessment
• Agent design canvas (goals, inputs, outputs, constraints)
• Multi-agent workflow mapper
• Guardrail and safety checklist
• Agent monitoring dashboard template
• Stakeholder communication kit for autonomous AI
• Use case library: agentic AI applications across functions
• Prompt templates for common agent tasks
• ROI calculator for agent deployment

You’ll Walk Away Able To:

• Identify and prioritize processes suitable for agentic automation
• Design AI agents that execute tasks autonomously and reliably
• Build multi-agent workflows that coordinate complex processes
• Set appropriate boundaries and safety controls for autonomous AI
• Monitor, evaluate, and continuously improve agent performance
• Communicate the value and risks of agentic AI to leadership
• Move from assisted AI to autonomous AI with confidence
• Scale agentic solutions across departments and use cases