Building Intelligent Voice Assistants with AI Training Course

Introduction to Conversational AI

• The history and evolution of voice assistants.
• Core components: ASR, NLU, Dialogue Management, and TTS.
• An overview of major platforms: Alexa, Google Assistant, and Rasa.

Designing Voice Interfaces

• Fundamental principles of conversational UX.
• Intent modelling and entity extraction.
• Voice design tools and flowcharting techniques.

Development with Dialogflow and Alexa

• Dialogflow agents, intents, and webhook fulfilment.
• Alexa Skills: intents, slots, voice models, and endpoint integration.
• Managing multi-turn conversations and sessions.

Building Voice Assistants with Rasa

• Rasa architecture: NLU, Core, and Actions.
• Training data preparation and domain configuration.
• Custom actions, forms, and contextual dialogues.

Integrating Voice Assistants

•   API and webhook back-end services.
• Connecting to CRMs, databases, and external applications.
• Implementing voice assistants in web apps, IoT, and mobile environments.

Testing, Deployment, and Optimisation

• Using simulators and test cases for voice interactions.
• Monitoring usage patterns and debugging conversations.
• Deploying to Google Assistant, Alexa devices, or private platforms.

Security, Compliance, and Scalability

• User authentication and authorisation for assistants.
• Data privacy, GDPR compliance, and audit trails.
• Version control and CI/CD pipelines for voice applications.

Summary and Next Steps