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Duration 35 hours
Course Outline
Introduction
- Overview of Conversational AI systems
- Evolution and core components of modern conversational architectures
Designing Advanced Conversational Flows
- Developing dynamic, context-aware dialogue structures
- Managing complex user intents and entity recognition
- Constructing and validating adaptive conversation scenarios
Advanced NLP Techniques
- Pre-training and fine-tuning of large language models
- Application of named entity recognition (NER) and sentiment analysis
Multilingual and Cross-Language Processing
- Strategies for multilingual support within a unified project
- Integration and validation of NER and sentiment analysis in conversational interfaces
Backend Integration and Data Handling
- Connection of conversational agents to enterprise data sources and APIs
- Utilization of databases and cloud services for data persistence and retrieval
Security and Compliance Considerations
- Assurance of data privacy, encryption, and secure user interactions
- Development of secure API connections and implementation of data security protocols
Designing User-Centric Interfaces
- Enhancement of user experience through voice and visual interaction modalities
Adaptive Learning for Conversational AI
- Implementation of user feedback loops and learning mechanisms to refine interactions
- Construction of adaptive learning features and performance evaluation
Managing Conversational AI Projects
- Agile project management methodologies applicable to AI initiatives
- Definition of Key Performance Indicators (KPIs) and success metrics for conversational deployments
Testing and Optimization Strategies
- Continuous testing frameworks for Conversational AI systems
- Post-deployment monitoring, analytics, and model refinement
- Execution of performance testing and optimization routines
Summary and Next Steps
Requirements
- Fundamental understanding of Conversational AI and NLP models
- Proficiency in programming languages such as Python
- Basic knowledge of API integration and cloud service architectures
Audience
- AI project managers
- Conversational AI developers
- Senior software engineers
