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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
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)