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 Duration 14 hours

Course Outline

Introduction to Chatbot Development

  • Overview of chatbot architecture and applications for government services
  • Introduction to Google AutoML for developing automated conversational agents
  • Analysis of core components essential to chatbot functionality

Initializing Google Cloud Platform and AutoML Environments

  • Provisioning a secure Google Cloud Platform account
  • Managing access and navigation within the Google Cloud Console
  • Reviewing Google AutoML capabilities and feature sets

Data Curation for Chatbot Model Training

  • Acquisition and preprocessing of training datasets
  • Classification of data to define chatbot intents and entities
  • Leveraging data visualization tools within Google Cloud Platform

Training Custom Chatbot Models via AutoML

  • Establishing a new AutoML project for chatbot construction
  • Ingestion and importation of training data into the AutoML environment
  • Configuration of training parameters and operational settings

Model Assessment and Iterative Refinement

  • Interpretation of performance metrics for chatbot efficacy
  • Iterative enhancement of models based on assessment outcomes
  • Calibration of chatbot models to improve accuracy and response quality

Deployment and System Integration of Chatbots

  • Deployment of chatbots across designated digital platforms and channels
  • Integration of chatbots with public-facing websites, messaging applications, and service interfaces
  • Validation of chatbot interactions and user experience in operational scenarios

Performance Monitoring and Operational Optimization

  • Implementation of monitoring protocols and logging for deployed chatbots
  • Analysis of usage patterns and user feedback to enhance performance for government stakeholders
  • Execution of continuous optimization strategies to ensure sustained service delivery

Summary and Strategic Next Steps

Requirements

  • Foundational understanding of artificial intelligence concepts
  • Proficiency with Google Cloud Platform (preferred but not mandatory)

Target Audience

  • Non-technical staff
  • Business and program managers
  • Technology specialists

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