Building Intelligent Voice Assistants with AI Training Course

Introduction to Conversational AI

• The evolution and history of voice assistant technology
• Core components: ASR, NLU, Dialogue Management, and TTS
• A look at leading platforms: Alexa, Google Assistant, and Rasa

Designing Voice Interfaces

• Fundamental principles of conversational user experience
• Modelling intents and extracting entities
• Utilising voice design tools and visual flowcharting

Developing with Dialogflow and Alexa

• Configuring Dialogflow agents, intents, and webhook fulfilment
• Building Alexa Skills: managing intents, slots, voice models, and endpoint links
• Handling multi-turn conversations and session state management

Building Voice Assistants with Rasa

• Understanding Rasa architecture: NLU, Core, and Actions
• Preparing training data and configuring domains
• Implementing custom actions, forms, and context-aware dialogues

Integrating Voice Assistants

• Connecting to APIs and webhook back-end services
• Linking CRMs, databases, and external applications
• Deploying voice assistants across web apps, IoT devices, and mobile platforms

Testing, Deployment, and Optimisation

• Using simulators and defining test cases for voice interactions
• Tracking usage metrics and debugging conversation flows
• Releasing to Google Assistant, Alexa devices, or proprietary platforms

Security, Compliance, and Scalability

• Implementing user authentication and authorisation protocols
• Addressing data privacy, GDPR compliance, and audit logging
• Managing version control and CI/CD pipelines for voice applications

Conclusion and Future Directions