Bootcamps » BUILDING A SMART ASSISTANT WITH AMAZON AI SERVICES

Description

How can you build a hardware smart assistant by taking advantage of the many services from AWS? In this full-day, advanced-level bootcamp, learn how to build a voice-activated smart assistant on a Raspberry Pi. Take a deep dive on each of the services the application will be built with: Amazon Lex for a chatbot with automatic speech recognition/natural language understanding, Amazon Polly for lifelike speech, and Amazon Rekognition for image analysis. Developers who have an interest in building applications with Amazon AI services will get hands-on experience with this bootcamp.

Note: Attendees take home the Raspberry Pi solution for continued experimentation.

Objectives

This bootcamp teaches you how to:

  • Work with Amazon AI Services: Amazon Lex, Amazon Polly, and Amazon Rekognition.
  • Work with Amazon Cognito, Amazon API Gateway, and AWS Lambda to create a secure serverless API backend.
  • Deploy a smart assistant built with these services to your Raspberry Pi.

Intended Audience

This bootcamp is intended for developers who are interested in building applications with Amazon AI services.

Prerequisites

We recommend that attendees of this bootcamp have the following prerequisites:

  • Course taken: AWS Technical Essentials (or equivalent knowledge)
  • Understanding of serverless AWS based applications
  • Familiarity with Node.js

Delivery Method

This bootcamp is delivered through a mix of:

  • Instructor-Led Training (ILT)
  • Hands-On Labs

Note: A laptop is required in order to complete technical lab exercises; tablets are not appropriate.

Duration

One day

Outline

This bootcamp covers the following concepts:

  • Instructor-led introduction to the following services: Amazon Lex, Amazon Polly, Amazon Rekognition
  • Instructor-led discussion about the relevant security of each service
  • Raspberry PI assembly and test
  • Introduction-level labs for each service: Amazon Lex, Amazon Polly, Amazon Rekognition
  • A final lab that delivers the application to attendees' devices with a walkthrough of exactly what is being built