Creating Custom Chatbots with Google AutoML Training Course
Customized chatbots are AI-powered conversational agents that are tailored to meet specific needs or requirements of users or businesses. These chatbots can be trained to understand and respond to queries, perform tasks, and provide information within a particular domain or context. Google AutoML (Auto Machine Learning) is a suite of machine learning products and services offered by Google Cloud Platform that enables users to build custom machine learning models without the need for extensive expertise in machine learning or coding. AutoML offers a user-friendly interface and powerful capabilities, making it accessible and appealing to users with varying levels of technical expertise.
This instructor-led, live training (online or onsite) is aimed at participants with varying levels of expertise who wish to leverage Google's AutoML platform to build customized chatbots for various applications.
By the end of this training, participants will be able to:
- Understand 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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a 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
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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)
Adam - GE Aerospace Poland Sp. z o.o.
Course - Prompt Engineering for ChatGPT
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