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Course Outline

Foundations of Chatbot Development

  • Insights into chatbot utility and real-world applications
  • Overview of Google AutoML’s role in building chatbots
  • Deconstructing the essential elements of a chatbot

Initial Setup with Google Cloud Platform and AutoML

  • Provisioning a Google Cloud Platform account
  • Mastering navigation within the Google Cloud Console
  • Exploring Google AutoML and its core functionalities

Readying Data for Chatbot Training

  • Gathering and pre-processing training datasets
  • Assigning labels to chatbot intents and entities
  • Leveraging data visualization tools within Google Cloud Platform

Training Custom Chatbot Models via AutoML

  • Initiating a new AutoML project for chatbot creation
  • Importing and uploading training data into AutoML
  • Adjusting training configurations and parameters

Assessing and Refining Chatbot Models

  • Analyzing performance metrics for chatbots
  • Refining models based on evaluation outcomes
  • Optimizing chatbot models for enhanced precision and efficiency

Chatbot Deployment and System Integration

  • Rolling out chatbots to various platforms and communication channels
  • Integrating chatbots with web applications, messaging services, and other interfaces
  • Conducting real-world scenario testing for user experience and interaction

Performance Monitoring and Optimization

  • Establishing monitoring and logging frameworks for deployed chatbots
  • Evaluating usage patterns and user feedback to enhance performance
  • Applying continuous improvement strategies for long-term viability

Conclusions and Future Directions

Requirements

  • Fundamental knowledge of AI concepts
  • Aquaintance with Google Cloud Platform (suggested but not mandatory)

Target Audience

  • Individuals without a development background
  • Business decision-makers and professionals
  • Technology enthusiasts
 14 Hours

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