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Course Outline
Foundations of Conversational AI Agents
- Definition and operational principles of chatbots
- Historical development and technological progression
- Strategic use cases and operational applications
Initial Configuration of Dialogflow
- Provisioning of Dialogflow credentials
- Interface architecture and navigation overview
- Development of an initial conversational agent
Architectural Design of Conversational Interfaces
- Interpretation of user intents and data entities
- Construction of dialogue logic and flow
- Tailoring of system responses and outputs
Advanced Functional Enhancements
- Integration with third-party application programming interfaces
- Incorporation of rich media elements, such as imagery and interactive controls
- Implementation of session context and sequential intents
Introduction to Microsoft Azure Bot Service
- Account setup and authorization for Azure Bot Service
- Review of the Azure Bot Service user interface
- Creation of conversational agents with reduced coding requirements
Deployment and Lifecycle Management
- Distribution across multiple channels, including web, mobile, and social networks
- Surveillance of user interactions and system responses
- Optimization of performance metrics driven by user feedback
Analytical Case Studies and Operational Applications
- Examination of successful implementation models
- Derivation of best practices from field deployments
- Analysis of emerging trends in conversational technology
Conclusions and Implementation Roadmap
Requirements
- Fundamental computer proficiency
- Professional interest in artificial intelligence and conversational agents
Target Audience
- Novices and entry-level users
- Public sector and business professionals
- Technology enthusiasts and developers
14 Hours
Testimonials (2)
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt