Postgraduate Certificate in Chatbot Implementation for Customer Engagement
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- Chatbot Design and Architecture
- Natural Language Processing (NLP) for Chatbots
- Dialog Management and Conversation Design
- Chatbot Integration with CRM and other Systems
- Implementing Chatbots using Dialogflow/Amazon Lex/Microsoft Bot Framework
- Measuring Chatbot Performance and Analytics
- Customer Engagement Strategies with Chatbots
- Ethical Considerations in Chatbot Development
- Advanced Chatbot Features: AI and Machine Learning
- Chatbot Deployment and Maintenance
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Career Role Description Chatbot Developer (AI, NLP) Develops and implements conversational AI solutions for customer engagement.
Designs, builds, and tests chatbot functionality, integrating with existing CRM systems.
High demand for expertise in NLP and machine learning.
Chatbot Integration Specialist (API, CRM) Focuses on seamless integration of chatbot platforms with various CRM and business systems.
Manages APIs, ensures data consistency, and optimizes chatbot performance.
Strong API integration and data management skills are crucial.
Conversational AI Architect (Design, Strategy) Designs the overall conversational architecture of chatbot systems.
Defines user flows, creates conversational design specifications, and ensures a cohesive user experience.
Requires strong strategic thinking and user experience design skills.
Chatbot Analyst (Data, Metrics) Analyzes chatbot performance data to identify areas for improvement.
Tracks key metrics, provides insights to optimize conversational design, and ensures effectiveness of chatbot deployments.
Data analysis and reporting skills are essential.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
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