Advanced Conversational AI - 2 days Training Course
Conversational AI encompasses technologies that empower computers to mimic and participate in human-like dialogues. These systems leverage sophisticated natural language processing (NLP), machine learning, and artificial intelligence algorithms to comprehend, interpret, and reply to user inputs in a conversational manner.
This instructor-led, live training (available online or onsite) is tailored for advanced-level Conversational AI developers seeking to acquire practical expertise in the high-level skills required to develop, manage, and optimize complex conversational AI projects.
Upon completing this training, participants will be capable of:
- Designing and developing advanced conversational AI solutions.
- Implementing adaptive learning mechanisms for conversation models.
- Integrating AI models with various enterprise-level systems.
- Effectively optimizing and managing AI projects.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to make arrangements.
Course Outline
Introduction
- Overview of conversational AI systems.
- 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
- Foundational 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.
Need help picking the right course?
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Advanced Conversational AI - 2 days Training Course - Enquiry
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