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Course Outline

Introduction to Chatbot Development

  • Overview of chatbots and their applications.
  • Introduction to Google AutoML for chatbot development.
  • Understanding the key 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 within the 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 on Chatbot Models

  • Interpreting evaluation metrics for chatbot performance.
  • Refining model improvements based on evaluation results.
  • Fine-tuning chatbot models to enhance 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 artificial intelligence concepts.
  • Familiarity with the Google Cloud Platform (recommended but not mandatory).

Audience

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

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