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Duration 14 hours
Course Outline
Introduction
- Overview of Conversational AI ecosystems
- The evolution and core components of contemporary conversational systems
Designing Advanced Conversational Flows
- Crafting dynamic, context-sensitive dialogues
- Managing intricate user intents and entities
- Constructing and validating adaptive conversation scenarios
Advanced NLP Techniques
- Pre-training and fine-tuning large language models
- Deploying named entity recognition (NER) and sentiment analysis
Backend Integration and Data Handling
- Linking chatbots to enterprise data sources and APIs
- Utilizing databases and cloud platforms for efficient data storage and retrieval
Adaptive Learning for Conversational AI
- Establishing user feedback loops and learning mechanisms to enhance interactions
- Developing adaptive learning features and assessing their effectiveness
Summary and Next Steps
Requirements
- Core proficiency in conversational AI and NLP frameworks
- Practical experience with programming languages, particularly Python
- Foundational understanding of API connectivity and cloud-based services
Intended Participants
- AI Project Managers
- Conversational AI Developers
- Senior Software Engineers
