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Course Outline
Introduction to AI/ML in Workflow Automation for Government
- Overview of AI-driven automation for government operations
- Understanding AI/ML models for workflow optimization in the public sector
- Introduction to Make’s API and automation capabilities for government use
Connecting AI/ML APIs to Make for Government
- Utilizing AI/ML services (OpenAI, Google Cloud AI, Hugging Face) in government projects
- Making API calls to AI models for automation in public sector workflows
- Managing API authentication and security for government applications
Sentiment Analysis and Text Processing for Government
- Extracting insights from citizen feedback through sentiment analysis
- Employing NLP models for text classification in government communications
- Automating response generation based on sentiment to enhance public service
Predictive Modeling and Decision Automation for Government
- Leveraging ML models for predictive analytics in government operations
- Automating decision-making processes based on AI predictions for improved governance
- Integrating forecasting models into governmental workflows to enhance efficiency
Automating Image and Video Processing for Government
- Utilizing AI for image recognition and classification in government applications
- Implementing object detection for automation in public sector projects
- Automating content moderation and tagging to ensure compliance and security
Optimizing AI-Driven Automation Workflows for Government
- Managing errors and improving reliability of AI-driven workflows in government operations
- Scaling AI integrations within Make for efficient public sector use
- Monitoring and maintaining AI-driven workflows to ensure ongoing performance
Testing and Debugging AI Integrations for Government
- Using Postman for API testing in government applications
- Debugging AI/ML model responses to ensure accuracy in public sector workflows
- Ensuring consistency and reliability in automation processes for government operations
Summary and Next Steps for Government
- Key takeaways from the course for enhancing government operations
- 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 for government processes
- Understanding of APIs and webhooks in a public sector context
- Basic knowledge of AI/ML concepts and models applicable to government operations
Audience
- AI/ML engineers for government projects
- Data scientists in public sector roles
- Technology innovators supporting governmental initiatives
14 Hours
Testimonials (1)
There were many practical exercises supervised and assisted by the trainer
