Cursusaanbod

Introduction to Conversational AI

  • History and evolution of voice assistants
  • Key components: ASR, NLU, Dialogue Management, TTS
  • Overview of major platforms: Alexa, Google Assistant, Rasa

Designing Voice Interfaces

  • Principles of conversational UX
  • Intent modeling and entity extraction
  • Voice design tools and flowcharting

Developing with Dialogflow and Alexa

  • Dialogflow agents, intents, and webhook fulfillment
  • Alexa Skills: intents, slots, voice models, and endpoint integration
  • Multi-turn conversations and session management

Building Voice Assistants with Rasa

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

Integrating Voice Assistants

  • APIs and webhook back-end services
  • Connecting to CRMs, databases, and external apps
  • Voice assistants in web apps, IoT, and mobile

Testing, Deployment, and Optimization

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

Security, Compliance, and Scalability

  • User authentication and authorization for assistants
  • Data privacy, GDPR, and audit trails
  • Version control and CI/CD pipelines for voice apps

Summary and Next Steps

Vereisten

  • An understanding of RESTful APIs and JSON
  • Experience with at least one programming language (e.g., Python or JavaScript)
  • Familiarity with natural language processing concepts

Audience

  • Software developers
  • UX designers working on voice-based interfaces
  • Conversational AI teams building virtual assistants
 21 Uren

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