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
Open Training Courses require 5+ participants.
Creating Custom Chatbots with Google AutoML Training Course - Booking
Creating Custom Chatbots with Google AutoML Training Course - Enquiry
Creating Custom Chatbots with Google AutoML - Consultancy Enquiry
Consultancy Enquiry
Upcoming Courses
Related Courses
Prompt Engineering for ChatGPT
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at beginner-level to advanced-level developers and researchers who wish to craft effective prompts to elicit desired responses from ChatGPT.
By the end of this training, participants will be able to:
- Understand the principles of prompt engineering for AI models like ChatGPT.
- Design prompts that effectively guide AI to produce desired outcomes.
- Apply ethical considerations in crafting prompts.
- Anticipate and adapt to the evolving landscape of AI interactions.
Prompt Engineering and Few-Shot Fine-Tuning
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at intermediate-level professionals who wish to leverage the power of prompt engineering and few-shot learning to optimize LLM performance for real-world applications.
By the end of this training, participants will be able to:
- Understand the principles of prompt engineering and few-shot learning.
- Design effective prompts for various NLP tasks.
- Leverage few-shot techniques to adapt LLMs with minimal data.
- Optimize LLM performance for practical applications.
Prompt Engineering for AI Text and Image Generation
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at AI practitioners and enthusiasts who wish to harness the power of prompts to generate impressive and realistic text and images.
By the end of this training, participants will be able to:
- Have a solid understanding of prompt engineering concepts.
- Write accurate and effective prompts for ChatGPT, Stable Diffusion, DALL-E 2, Leonardo AI, and MidJourney.
- Generate hyper-realistic text and images using the latest tools and techniques in prompt engineering.
- Use AI-powered prompt engineering tools to automate prompt generation.
- Apply prompt engineering to various use cases.
- Incorporate prompt engineering into their own projects and workflows.
Prompt Engineering for Visual Production
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at intermediate-level visual content creators who wish to leverage AI for enhanced visual production.
By the end of this training, participants will be able to:
- Craft detailed prompts to generate complex images.
- Understand the nuances of language that influence visual AI output.
- Apply prompt engineering techniques to various forms of visual media.
- Evaluate and refine AI-generated images to meet production standards.
Leonardo AI: Creating AI Images and Talking Portraits
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at digital artists and AI enthusiasts who wish to use Leonardo AI to create complex visual content and realistic talking portraits.
By the end of this training, participants will be able to:
- Generate stunning images using Leonardo AI.
- Train datasets for your own models, and experiment with exising fine tuned models on Leonardo AI.
- Conduct image to image generation, and complex prompt generation.
- Use AI canvas to combine images and add background on Leonardo AI.
- Create talking portraits using D-ID.
Midjourney for Image Generation
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at digital artists and AI enthusiasts who wish to use Midjourney to generate images for various purposes, such as advertising, art, and design.
By the end of this training, participants will be able to:
- Understand the basics of Midjourney and how it works.
- Use Midjourney to generate images from natural language descriptions.
- Fine-tune Midjourney models to generate custom images.
- Implement Midjourney into their image creation workflow.
Midjourney: School of Effective Prompting
7 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at advanced-level professionals who wish to learn how to create effective and efficient prompts to fully harness the potential of AI graphics and to create perfect graphics on the first attempt.
By the end of this training, participants will be able to:
- Enhance Effective AI Graphics Prompting Skills: We will show you how to create effective prompts so that your projects become even more impressive (and on the first try).
- Create Professional Prompts: Learn the techniques for crafting thoughtful and consistent prompts like a pro.
- Effectively Use of Midjourney Commands and Parameters: Understand how to fully utilize Midjourney's capabilities (no command will be unfamiliar to you).
- High-Quality Photos and Graphics: Discover how to generate images of the highest possible quality.
- Control Over Generated Graphics: Learn how to precisely control the graphic creation process (ensuring you have full control over the AI tool).
- Realize Your Ideas: Find out how to turn your ideas into finished, professional works (we will work on your ideas).
ADDITIONALLY: As part of the training, you will have access to over 250 pages of ready-made tips and prompts to help you refine your skills.
DataRobot
7 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at data scientists and data analysts who wish to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.
By the end of this training, participants will be able to:
- Load datasets in DataRobot to analyze, assess, and quality check data.
- Build and train models to identify important variables and meet prediction targets.
- Interpret models to create valuable insights that are useful in making business decisions.
- Monitor and manage models to maintain an optimized prediction performance.
Artificial Intelligence (AI) with H2O
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at technical persons who wish to build machine learning models using algorithms such as GLM, Deep Learning and Random Forests.
By the end of this training, participants will be able to:
- Install and configure H2O.
- Create machine learning models using different popular algorithms.
- Evaluate models based on the type of data and business requirements.
H2O AutoML
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at data scientists who wish to use H2O AutoML to automoate the process of building and selecting the best machine learning algorithm and parameters.
By the end of this training, participants will be able to:
- Automate the machine learning workflow.
- Automatically train and tune many machine learning models within a specified time range.
- Train stacked ensembles to arrive at highly predictive ensemble models.
AutoML with Auto-sklearn
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at machine learning practitioners who wish to use Auto-sklearn to automate the process of selecting and optimizing a machine learning model.
By the end of this training, participants will be able to:
- Automate the process of training highly efficient machine learning models.
- Build highly accurate machine learning models while bypassing the more tedious tasks of selecting, training and testing different models.
- Use the power of machine learning to solve real-world business problems.
AutoML with Auto-Keras
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at data scientists as well as less technical persons who wish to use Auto-Keras to automate the process of selecting and optimizing a machine learning model.
By the end of this training, participants will be able to:
- Automate the process of training highly efficient machine learning models.
- Automatically search for the best parameters for deep learning models.
- Build highly accurate machine learning models.
- Use the power of machine learning to solve real-world business problems.
Advanced AI Concepts with Perplexity
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at advanced-level AI enthusiasts and developers who wish to leverage Perplexity AI for complex problem-solving and research.
By the end of this training, participants will be able to:
- Implement advanced AI techniques using Perplexity AI.
- Analyze complex datasets and extract valuable insights.
- Apply AI concepts to real-world problem-solving.
- Integrate Perplexity AI with existing AI workflows.
Advanced Customization of AI Chatbots
14 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at advanced-level developers, AI specialists, and tech professionals who wish to delve into advanced techniques for customizing AI chatbots for specific needs.
By the end of this training, participants will be able to:
- Develop advanced chatbot functionalities using custom code.
- Integrate chatbots with complex external APIs and services.
- Implement advanced natural language processing (NLP) techniques.
- Optimize chatbot performance and user interactions.
- Ensure security and privacy in chatbot applications.
- Deploy and scale chatbots for high-demand environments.
Advanced Kubiya AI for DevOps Automation
21 HoursThis instructor-led, live training in Latvia (online or onsite) is aimed at advanced-level DevOps engineers and automation specialists who wish to deepen their understanding of Kubiya AI and leverage its full capabilities for large-scale operations.
By the end of this training, participants will be able to:
- Automate complex workflows using Kubiya AI.
- Customize AI responses and actions.
- Scale DevOps operations with Kubiya AI.
- Troubleshoot and optimize Kubiya AI implementations.
- Understand and implement security and compliance measures.
- Integrate Kubiya AI with advanced CI/CD tools and additional cloud services.
- Set up performance monitoring and create custom reports.