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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 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