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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
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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Testimonials (1)
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