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Course Outline

Foundations of Agentic AI in Business Automation

  • Defining agentic AI and its significance for automation.
  • An overview of tools and frameworks for creating intelligent agents.
  • Enterprise applications in customer service, logistics, and marketing.

Pinpointing Automation Opportunities

  • Mapping existing workflows and identifying pain points.
  • Assessing feasibility and ROI for AI-driven automation.
  • Establishing success metrics and integration requirements.

Architecting Agentic Workflows

  • Creating task-specific agents and designing orchestration-level logic.
  • Structuring prompts and logic for automation agents.
  • Incorporating decision-making mechanisms and exception handling.

Integrating Agents with Core Business Systems

  • Linking AI agents to CRMs, ERPs, and communication platforms.
  • Leveraging Zapier, Make, or Power Automate for orchestration.
  • Executing API-based integrations using Python.

Practical Application Scenarios

  • Automating customer service and analyzing sentiment.
  • Forecasting supply chain demand and coordinating with vendors.
  • Optimizing marketing campaigns with AI-driven insights.

Governance, Security, and Monitoring

  • Managing access control and data sensitivity.
  • Configuring monitoring dashboards and alert systems.
  • Auditing and evaluating automated decisions.

Capstone Project: Developing an Integrated AI Workflow

  • Selecting a target process for automation.
  • Designing and implementing the AI agent solution.
  • Conducting testing, evaluation, and optimization.

Conclusion and Future Directions

Requirements

  • A fundamental understanding of business workflows and process automation.
  • Proficiency with Python or API-based integrations.
  • Practical experience using productivity or automation tools.

Target Audience

  • Product managers looking to uncover automation potential.
  • Automation engineers focused on implementing AI-driven workflows.
  • Business analysts designing data-informed business processes.
 21 Hours

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