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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

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