Global Certificate in Optimizing Conversational AI
-- ViewingNowThe Global Certificate in Optimizing Conversational AI is a comprehensive course designed to empower learners with the essential skills needed to thrive in the rapidly evolving world of AI. This course highlights the importance of Conversational AI in enhancing customer experiences and streamlining business operations.
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⢠Unit 1: Introduction to Conversational AI – fundamentals, benefits, and challenges of conversational AI, use cases, and applications.
⢠Unit 2: Natural Language Processing (NLP) – text preprocessing, tokenization, part-of-speech tagging, parsing, named entity recognition, sentiment analysis, and machine translation.
⢠Unit 3: Speech Recognition & Synthesis – speech-to-text and text-to-speech technologies, acoustic modeling, language modeling, and deep neural networks.
⢠Unit 4: Dialogue Management – dialogue state tracking, natural language generation, and response selection.
⢠Unit 5: Machine Learning for Conversational AI – supervised, unsupervised, and reinforcement learning techniques, transfer learning, and multi-task learning.
⢠Unit 6: Ethics and Bias in Conversational AI – ethical considerations, fairness, transparency, accountability, and avoiding biases.
⢠Unit 7: Testing and Evaluation – metrics for evaluating conversational AI systems, A/B testing, and user experience testing.
⢠Unit 8: Deployment and Scaling – cloud computing, containerization, microservices, and DevOps for conversational AI.
⢠Unit 9: Best Practices for Designing Conversational AI – conversational design, user experience design, and interaction design.
⢠Unit 10: Future Trends in Conversational AI – emerging technologies, opportunities, and challenges in conversational AI.
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