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 Duration 14 hours

Course Outline

Foundations of Chatbot Development

  • An overview of chatbots and their practical uses
  • Introduction to Google AutoML in the context of chatbot development
  • Identifying the essential components of a chatbot

Initial Setup with Google Cloud Platform and AutoML

  • Configuring a Google Cloud Platform account
  • Navigating the Google Cloud Console interface
  • Accessing Google AutoML and exploring its features

Data Preparation for Chatbot Training

  • Gathering and preprocessing training data
  • Tagging data for chatbot intents and entities
  • Utilizing data visualization tools within Google Cloud Platform

Training Custom Chatbot Models with AutoML

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

Assessing and Refining Chatbot Models

  • Interpreting performance metrics for chatbots
  • Iterating on model enhancements based on evaluation outcomes
  • Fine-tuning chatbot models to improve accuracy and overall performance

Deployment and Integration of Chatbots

  • Releasing chatbots across different platforms and channels
  • Connecting chatbots to websites, messaging applications, and other user interfaces
  • Testing chatbot interactions and user experiences in realistic scenarios

Monitoring and Optimizing Chatbot Performance

  • Establishing monitoring and logging systems for deployed chatbots
  • Analyzing usage patterns and user feedback to enhance performance
  • Applying continuous optimization strategies for long-term success

Conclusion and Future Steps

Requirements

  • A fundamental grasp of AI principles
  • Basic knowledge of the Google Cloud Platform (suggested but not mandatory)

Target Audience

  • Non-technical users
  • Business professionals
  • Technology enthusiasts

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