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Course Outline

Overview of Chatbot Development

  • Review of chatbot technology and operational applications
  • Introduction to Google AutoML for building conversational agents
  • Analysis of essential chatbot components

Initiating Google Cloud Platform and AutoML Workflows

  • Provisioning a Google Cloud Platform account
  • Navigating the Google Cloud Console interface
  • Accessing Google AutoML services and reviewing capabilities

Data Preparation for Model Training

  • Collecting and preprocessing training datasets
  • Annotating data to define intents and entities
  • Leveraging data visualization tools within Google Cloud Platform

Training Custom Models with AutoML

  • Establishing a new AutoML project for conversational AI
  • Importing training datasets into the AutoML environment
  • Configuring training parameters and settings

Evaluating and Refining Model Performance

  • Interpreting metrics to assess chatbot efficacy
  • Refining models based on evaluation outcomes
  • Tuning models to enhance accuracy and operational performance

Deployment and System Integration

  • Distributing chatbots across various platforms and communication channels
  • Integrating chatbots with websites, messaging applications, and other user interfaces
  • Validating interactions and user experiences in production environments

Monitoring and Optimization Strategies

  • Implementing monitoring and logging protocols for deployed agents
  • Analyzing usage analytics and stakeholder feedback to drive improvements
  • Applying continuous optimization frameworks to ensure long-term success

Summary and Next Steps

Requirements

  • Fundamental comprehension of artificial intelligence principles
  • Knowledge of the Google Cloud Platform (recommended, though optional)

Target Audience

  • Personnel without software development expertise
  • Corporate and business specialists
  • Technology practitioners
 14 Hours

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