Engineering Blog
(Beginner) Tutorials, Guides and FAQs on Prompt Engineering, Chatbots, Voice Bots, Dialogflow Essentials and Dialogflow CX.
Welcome to my conversational AI, prompt engineering blog. As a SWE and advocate for Google, I build a lot of cool stuff, and I'm the bridge between Google's engineering team and you; chatbot developers, UI/UX designers, conversational experts, linguists, and contact center engineers.
Dialogflow CX Build a Retail Virtual Agent...
In this tutorial, you will learn how to build a chatbot and voicebot from scratch using Dialogflow CX, a Conversational AI Platform (CAIP) for building conversational UIs. Dialogflow CX can implement virtual agents, like chatbots, voice bots, phone gateways and can support multiple channels in over 50 different languages.
In this Dialogflow CX tutorial series, you will learn how to build a retail virtual agent from scratch with Dialogflow CX as part of the Ultimate Chatbot Tutorials. This video series also acts as video documentation of all the features of Dialogflow CX.
This codelab video will guide you how to build a website chatbot for a retail. The fictional business we are building the chatbot for is called: G-Records. We will be building an e-commerce chatbot that can be integrated with your website or multiple platforms.
At the end of this video, you can use the chatbot, to order shirts or music or you can ask about your order status. Dialogflow CX is part of Google Cloud Contact Center AI Platform. (CCAI Platform)
What you’ll learn
You will learn the benefits of Dialogflow CX compared to Dialogflow ES by doing! It includes the following concepts:
- How to create a Dialogflow CX virtual agent within Google Cloud
- Learn how to build a chatbot from scratch
- Learn how to design conversational flows
- Learn how to create flows
- Learn how to create entities
- Learn how to create intents
- Learn how to create pages and transition pages with state handlers
- Learn how to transition pages with intent routes
- Learn how to transition pages with parameters & condition routes
- Learn how to return conditional responses with system functions
- Learn how to create fallback messages
- Learn how to use the simulator
- Learn how to create test cases & test coverage
The codelab shown in this video can be found here.
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Lee Boonstra
Lee Boonstra (they/them) has been a presence in the tech world since 2007, wearing many hats from software engineer to prompt engineer, web developer to technical trainer, and developer advocate.
With eight years of experience at Google under their belt, they now hold the role of SWE Tech Lead at the Google Cloud office of the CTO. Leading innovation projects, Lee aims to disrupt markets and foster collaboration globally. Their expertise in Conversational and Voice technology, alongside (Generative) AI, has led to recognition as a respected public keynote speaker and published author for O’Reilly and Apress. Lee eases tech headaches and celebrates those light bulb moments.
Lee wrote a book for O’Reilly: Hands-on Sencha Touch 2 and lately: the Definitive Guide to Conversational AI with Dialogflow and Google Cloud for Apress.
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