Creating Custom Chatbots with Google AutoML Training Course
Custom chatbots are AI-driven conversational agents designed to fulfill the specific needs of users or organizations. These bots are trained to comprehend inquiries, execute tasks, and deliver information within a designated domain or context. Google AutoML (Automated Machine Learning) is a collection of machine learning products and services provided by Google Cloud Platform, empowering users to construct custom machine learning models without requiring extensive knowledge of machine learning principles or coding skills. With its intuitive interface and robust capabilities, AutoML makes advanced technology accessible and attractive to individuals with diverse technical backgrounds.
This instructor-led, live training session (available online or in-person) is designed for participants with varying levels of expertise who want to utilize Google’s AutoML platform to create customized chatbots for a wide range of applications.
Upon completion of this training, participants will be capable of:
- Grasping the core principles of chatbot development.
- Successfully navigating the Google Cloud Platform and accessing AutoML tools.
- Preparing data necessary for training chatbot models.
- Training and assessing custom chatbot models using AutoML.
- Deploying and integrating chatbots across various platforms and communication channels.
- Monitoring and optimizing chatbot performance continuously.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation in a live laboratory environment.
Course Customization Options
- To request a tailored training session for this course, please contact us to make arrangements.
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
- Foundational understanding of AI concepts
- Familiarity with Google Cloud Platform (recommended, though not mandatory)
Target Audience
- Non-developers
- Business professionals
- Tech enthusiasts
Need help picking the right course?
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Creating Custom Chatbots with Google AutoML Training Course - Enquiry
Creating Custom Chatbots with Google AutoML - Consultancy Enquiry
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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