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Course Outline
Introduction to Chatbot Development
- Overview of chatbots and their real-world applications
- Introduction to Google AutoML for chatbot creation
- 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 exploring its features
Data Preparation for Chatbot Training
- Collecting and preprocessing training data
- Labeling data for chatbot intents and entities
- Using 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 Chatbot Models
- Interpreting evaluation metrics for chatbot performance
- Refining models based on evaluation results
- Fine-tuning chatbot models for improved accuracy and performance
Deployment and Integration of Chatbots
- Deploying chatbots to various 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
- Establishing monitoring and logging for deployed chatbots
- Analyzing usage data and user feedback to enhance chatbot performance
- Implementing continuous optimization strategies for long-term success
Summary and Next Steps
Requirements
- Fundamental understanding of AI concepts
- Knowledge of the Google Cloud Platform (advisable but not mandatory)
Target Audience
- Non-developers
- Business professionals
- Technology enthusiasts
14 Hours
Testimonials (2)
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
