Course Outline

Introduction to AI/ML in Workflow Automation for Government

  • Overview of AI-driven automation for government workflows
  • Understanding AI/ML models tailored for government use
  • Introduction to Make’s API and automation capabilities for government applications

Connecting AI/ML APIs to Make for Government

  • Utilizing AI/ML services (OpenAI, Google Cloud AI, Hugging Face) for government projects
  • Making API calls to AI models for automated government processes
  • Handling API authentication and security in a government context

Sentiment Analysis and Text Processing for Government

  • Extracting insights from public feedback and communications
  • Using NLP models for text classification in government documents
  • Automating response generation based on sentiment analysis in government services

Predictive Modeling and Decision Automation for Government

  • Utilizing ML models for predictive analytics in government operations
  • Automating decision-making processes based on AI predictions in government workflows
  • Integrating forecasting models into government workflows for enhanced efficiency

Automating Image and Video Processing for Government

  • Using AI for image recognition and classification in government applications
  • Applying object detection in automation for government surveillance and security
  • Automating content moderation and tagging for government communications

Optimizing AI-Driven Automation Workflows for Government

  • Handling errors and improving reliability in government workflows
  • Scaling AI integrations in Make for government projects
  • Monitoring and maintaining AI-driven workflows to ensure compliance and efficiency

Testing and Debugging AI Integrations for Government

  • Using Postman for API testing in government applications
  • Debugging AI/ML model responses in a government context
  • Ensuring accuracy and consistency in automation for government services

Summary and Next Steps for Government

  • Key takeaways from the course for government professionals
  • Resources for further learning in AI/ML for government use
  • Q&A session and closing remarks for government participants

Requirements

  • Experience utilizing Make for workflow automation in a public sector environment
  • Understanding of APIs and webhooks for government applications
  • Fundamental knowledge of artificial intelligence and machine learning concepts and models for government use

Audience

  • AI/ML engineers for government projects
  • Data scientists in the public sector
  • Technology innovators focused on government solutions
 14 Hours

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