Course Outline

Introduction to Agentic AI for Government Automation

  • What is agentic AI and why it matters for automation in government operations
  • Overview of tools and frameworks for building intelligent agents suitable for government use
  • Enterprise use cases: customer service, logistics, and marketing within the public sector

Identifying Automation Opportunities for Government

  • Mapping current workflows and pain points in government processes
  • Evaluating feasibility and return on investment (ROI) for AI-driven automation in government operations
  • Defining success metrics and integration requirements for government systems

Designing Agentic Workflows for Government

  • Designing task-specific and orchestration-level agents tailored for government tasks
  • Prompt design and logic structuring for automation agents in government workflows
  • Integrating decision-making and exception handling to meet public sector needs

Integrating Agents with Government Systems

  • Connecting AI agents to CRMs, ERPs, and communication tools used in government agencies
  • Using orchestration tools such as Zapier, Make, or Power Automate for government workflows
  • Implementing API-based integrations with Python for government applications

Applied Use Cases for Government

  • Customer service automation and sentiment analysis in government services
  • Supply chain demand forecasting and vendor coordination within government agencies
  • Marketing campaign optimization using AI-driven insights for government programs

Governance, Security, and Monitoring for Government

  • Managing access control and data sensitivity in government systems
  • Setting up monitoring dashboards and alerts for government operations
  • Evaluating and auditing automated decisions to ensure compliance with public sector standards

Hands-on Project: Building an Integrated AI Workflow for Government

  • Identifying a target process for automation within government operations
  • Designing and implementing the AI agent to meet government requirements
  • Testing, evaluation, and optimization of the AI workflow in a government context

Summary and Next Steps for Government

Requirements

  • A foundational understanding of business workflows and process automation for government
  • Familiarity with Python or API-based integrations in a public sector context
  • Experience using productivity or automation tools for enhancing governmental processes

Audience

  • Product managers within government agencies seeking to identify and leverage automation opportunities
  • Automation engineers in the public sector implementing AI-driven workflows for government
  • Business analysts working in government who design data-informed business processes
 21 Hours

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