Building Intelligent Chatbots on AWS

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Created by: Bear Cahill

Produced in 2019

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Course Description

Voice control and interaction is becoming more common- "and more expected from our apps. Amazon Lex provides speech recognition and natural language understanding, allowing developers to build their own custom logic around it. This course introduces a specific use case for Lex: intelligent chatbots that can respond to and redirect customer inquiries. Discover how to use the Lex API and CLI, build and test your bot, and configure the prompts and responses that will make your bot seem trustworthy and useful. Instructor Bear Cahill also explains how to publish your bot to the Amazon cloud and leverage lambdas- "serverless functions- "for user data validation and intent fulfillment. By the end of the course, you'll know how to build smart, sophisticated chatbots and use Lex to do all the heavy lifting.

Advanced Level

Time: 1h 12m

Instructor Details

Bear Cahill

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Bear Cahill is a freelance mobile application developer who has worked on over 100 iOS and Android apps.

In 2008, Bear founded Brainwash Inc., a mobile app development company in Dallas, Texas. Brainwash has developed apps using a variety of technologies, including Core Data, MapKit, StoreKit, Core Location, and other frameworks for email, address book access, audio recording and playback, iPod access, SMS functionality, and more. The company also provides server-side development (Linux-based Ruby on Rails and MySQL). Clients include Escort/Cobra Radar, ATV Escape, Mobiata, AppCubby, AppNoose, Trey Weir Media, IRCO, Ramquest, Semaphore Mobile, and more.

Bear is also a published author and experienced iOS instructor. Manning Publications Co. published his book iOS in Practice in 2012. He has taught courses for Accelerate and LinkedIn Learning, and has spoken about iOS development at conferences and to outlets such as the Dallas Morning News and CBS MoneyWatch.