Obrigado por enviar sua consulta! Um dos membros da nossa equipe entrará em contato com você em breve.
Obrigado por enviar sua reserva! Um dos membros da nossa equipe entrará em contato com você em breve.
Programa do Curso
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
Requisitos
- 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 Horas
