Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- Conversational AI systems overview
- Evolution and components of modern conversational systems
Designing Advanced Conversational Flows
- Creating dynamic, context-aware dialogues
- Handling complex user intents and entities
- Building and testing adaptive conversation scenarios
Advanced NLP Techniques
- Pre-training and fine-tuning large language models
- Implementing named entity recognition (NER) and sentiment analysis
Backend Integration and Data Handling
- Connecting bots to enterprise-level data sources and APIs
- Using databases and cloud services for data storage and retrieval
Adaptive Learning for Conversational AI
- Implementing user feedback loops and learning mechanisms to improve interactions
- Building adaptive learning features and evaluating their performance
Summary and Next Steps
Requirements
- Fundamental understanding of conversational AI and NLP models
- Experience with programming languages such as Python
- Basic knowledge of API integration and cloud services
Audience
- AI project managers
- Conversational AI developers
- Senior software engineers
14 Hours
