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Build a Chatbot with Amazon Lex for Facebook: Big Picture

Chatbots are now the preferred method of contact for users to answer questions and get online support. This course will teach you to use Amazon Lex to build a chatbot that meets your unique needs and deploy it to Facebook Messenger.

Beginner
27m
(47)

Created by Craig Golightly

Last Updated Dec 12, 2022

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  • Course

Build a Chatbot with Amazon Lex for Facebook: Big Picture

Chatbots are now the preferred method of contact for users to answer questions and get online support. This course will teach you to use Amazon Lex to build a chatbot that meets your unique needs and deploy it to Facebook Messenger.

Beginner
27m
(47)

Created by Craig Golightly

Last Updated Dec 12, 2022

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  • Cloud
  • Data
What you'll learn

Providing 24/7 support for users is a challenge for many businesses. Chatbots can help fill this gap. Many users now prefer interacting via chat instead of email or telephone, so getting a chatbot up and running can help you provide better support to your users. In this course, Build a Chatbot with Amazon Lex for Facebook: Big Picture, you'll learn how to go from zero to deployed, working chatbot in less time than it takes to eat lunch. First, you'll discover how to set up your chatbot in AWS Lex, which uses the same natural language engine that powers Amazon Alexa. Next, you'll explore Facebook for Developers to set up an integration point. Finally, you'll dive into deploying your chatbot and use it live on Facebook Messenger. By the end of this course, you'll have a working chatbot deployed to Facebook Messenger and have the knowledge and tools to update and expand your chatbot to fit your needs.

Build a Chatbot with Amazon Lex for Facebook: Big Picture
Beginner
27m
(47)
Table of contents

About the author
Craig Golightly - Pluralsight course - Build a Chatbot with Amazon Lex for Facebook: Big Picture
Craig Golightly
36 courses 4.5 author rating 1315 ratings

Craig is passionate about solving problems with the right tools. He has a bachelor's and master's degree in computer science with extensive experience in AWS, microservices, and artificial intelligence. Craig enjoys teaching and mentoring others so they can save time and accomplish their goals faster.

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