Course Outline

Introduction to Chatbot Development

  • Overview of chatbots and their applications
  • Introduction to Google AutoML for chatbot development
  • Understanding the components of a chatbot

Getting Started with Google Cloud Platform and AutoML

  • Setting up a Google Cloud Platform account
  • Navigating the Google Cloud Console
  • Accessing Google AutoML and understanding its features

Data Preparation for Chatbot Training

  • Collecting and preprocessing training data
  • Labeling data for chatbot intents and entities
  • Exploring data visualization tools in Google Cloud Platform

Training Custom Chatbot Models with AutoML

  • Creating a new AutoML project for chatbot development
  • Uploading and importing training data into AutoML
  • Configuring training settings and parameters

Evaluating and Iterating Chatbot Models

  • Interpreting evaluation metrics for chatbot performance
  • Iterating on model improvements based on evaluation results
  • Fine-tuning chatbot models for better accuracy and performance

Deployment and Integration of Chatbots

  • Deploying chatbots to different platforms and channels
  • Integrating chatbots with websites, messaging apps, and other interfaces
  • Testing chatbot interactions and user experiences in real-world scenarios

Monitoring and Optimizing Chatbot Performance

  • Setting up monitoring and logging for deployed chatbots
  • Analyzing usage data and user feedback to improve chatbot performance
  • Implementing continuous optimization strategies for long-term success

Summary and Next Steps

Requirements

  • Basic understanding of AI concepts
  • Familiarity with Google Cloud Platform (recommended but not required)

Audience

  • Non-developers
  • Business professionals
  • Tech enthusiasts
 14 Hours

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