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Course Outline
Introduction to Conversational AI for Government
- History and evolution of voice assistants in public sector applications
- Key components: Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Dialogue Management, and Text-to-Speech (TTS)
- Overview of major platforms: Alexa for government, Google Assistant for government, and Rasa for government
Designing Voice Interfaces for Government
- Principles of conversational user experience (UX) tailored to public sector needs
- Intent modeling and entity extraction for government services
- Voice design tools and flowcharting for efficient service delivery
Developing with Dialogflow and Alexa for Government
- Dialogflow agents, intents, and webhook fulfillment for government applications
- Alexa Skills: intents, slots, voice models, and endpoint integration for public sector use
- Multi-turn conversations and session management in government environments
Building Voice Assistants with Rasa for Government
- Rasa architecture: NLU, Core, and Actions tailored for public sector projects
- Training data and domain configuration for government-specific scenarios
- Custom actions, forms, and contextual dialogues to enhance citizen engagement
Integrating Voice Assistants for Government
- APIs and webhook back-end services for seamless integration with government systems
- Connecting to CRMs, databases, and external applications used in public sector workflows
- Implementing voice assistants in web apps, IoT devices, and mobile platforms for government use
Testing, Deployment, and Optimization of Voice Assistants for Government
- Simulators and test cases for voice interactions to ensure reliability and accuracy in public sector applications
- Monitoring usage and debugging conversations to maintain high service standards
- Deploying to Google Assistant, Alexa devices, or private platforms tailored for government operations
Security, Compliance, and Scalability for Government Voice Assistants
- User authentication and authorization for secure access to government assistants
- Data privacy, GDPR compliance, and audit trails to ensure transparency and accountability in public sector use
- Version control and CI/CD pipelines for continuous improvement of voice applications in the public sector
Summary and Next Steps for Government Voice Assistants
Requirements
- A thorough understanding of RESTful APIs and JSON
- Practical experience with at least one programming language (e.g., Python or JavaScript)
- Knowledge of natural language processing concepts
Audience
- Software developers for government
- User experience designers working on voice-based interfaces
- Conversational AI teams building virtual assistants
21 Hours
