Advanced Conversational AI - 2 days

• 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

Conversational AI refers to technologies that enable computers to simulate and engage in human-like conversations. These systems use advanced natural language processing (NLP), machine learning, and AI algorithms to understand, process, and respond to user inputs in a conversational manner.

This instructor-led, live training (online or onsite) is aimed at advanced-level Conversational AI developers who wish to gain practical experience with advanced skills necessary for developing, managing, and optimizing sophisticated conversational AI projects.

By the end of this training, participants will be able to:

• Design and develop advanced conversational AI solutions.
• Implement adaptive learning for conversation models.
• Integrate AI models with various enterprise-level systems.
• Optimize and manage AI projects effectively.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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