Creating Custom Chatbots with Google AutoML Training Course
Tailored chatbots are AI-driven conversational agents designed to address the specific needs or requirements of users or businesses. These chatbots can be trained to comprehend and respond to queries, execute tasks, and deliver information within a defined domain or context. Google AutoML (Auto Machine Learning) is a suite of machine learning products and services provided by Google Cloud Platform, empowering users to create custom machine learning models without requiring extensive knowledge of machine learning or coding. AutoML provides an intuitive interface and robust capabilities, making it accessible and appealing to individuals with diverse levels of technical expertise.
This instructor-led, live training (available online or onsite) is designed for participants with varying levels of expertise who wish to utilize Google's AutoML platform to construct customized chatbots for a range of applications.
Upon completion of this training, participants will be able to:
- Grasp the fundamentals of chatbot development.
- Navigate the Google Cloud Platform and access AutoML.
- Prepare data for training chatbot models.
- Train and evaluate custom chatbot models using AutoML.
- Deploy and integrate chatbots into various platforms and channels.
- Monitor and optimize chatbot performance over time.
Course Format
- Interactive lecture and discussion.
- Extensive exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to arrange.
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
Open Training Courses require 5+ participants.
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Testimonials (1)
Trainer was very knowledgeable and easy to speak to
Gareth Gird - Teleflex Medical Europe Ltd
Course - Copilot for Finance and Accounting Professionals
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