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Course Outline
Introduction
- Overview of Conversational AI systems.
- The evolution and key components of modern conversational technologies.
Designing Advanced Conversational Flows
- Creating 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.
- Applying named entity recognition (NER) and sentiment analysis.
Multilingual and Cross-Language Processing
- Strategies for enabling multi-language support within a single project.
- Embedding and testing NER and sentiment analysis capabilities in conversational bots.
Backend Integration and Data Handling
- Linking bots to enterprise-grade data sources and APIs.
- Utilizing databases and cloud services for efficient data storage and retrieval.
Security and Compliance Considerations
- Safeguarding data privacy, encryption, and secure user interactions.
- Establishing API connections and enforcing data security protocols.
Designing User-Centric Interfaces
- Elevating user experience through voice and visual interaction design.
Adaptive Learning for Conversational AI
- Setting up user feedback loops and learning mechanisms to refine interactions.
- Developing adaptive learning features and measuring their performance.
Managing Conversational AI Projects
- Agile project management methodologies tailored for AI initiatives.
- Establishing KPIs and success metrics for conversational projects.
Testing and Optimization Strategies
- Implementing continuous testing frameworks for conversational AI.
- Post-deployment monitoring, analytics, and model refinement.
- Executing performance tests and optimization cycles.
Summary and Next Steps
Requirements
- A solid grasp of conversational AI fundamentals and NLP models.
- Proficiency in programming languages, particularly Python.
- Foundational knowledge of API integration and cloud service architectures.
Target Audience
- AI Project Managers.
- Conversational AI Developers.
- Senior Software Engineers.
35 Hours
