Building Apps Using Amazon’s Alexa and Lex – Loonycorn

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Building Apps Using Amazon’s Alexa and Lex – Loonycorn

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Alexa, Siri, Cortana and Google Now – voice-activated personal assistants are one of the hottest trends in technology these days. They are a great way to convey complex information to your customers in a free-flowing, conversational way.

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Building Apps Using Amazon's Alexa and Lex

Alexa Skills and Lex Chatbots

2893e57e29198ec71cb26aae40b25606639e4901 - esyGB Wiki

Alexa, Siri, Cortana and Google Now – voice-activated personal assistants are one of the hottest trends in technology these days. They are a great way to convey complex information to your customers in a free-flowing, conversational way. Alexa is a great way to build them – an AWS service for building conversational interfaces for Echo, FireTV and a host of Alexa-aware devices.

  • Alexa and Lex are state-of-the-art, with support for new devices being added all the time
  • Powered by a deep learning based engine that parses user voice and resolves the contents of user utterances to API calls and parameter values
  • No deep learning or natural language processing expertise is needed to build even complex voice and chat apps
  • Provides an intuitive way of specifying the conversational interface
  • Automatically and dynamically adjusts conversational responses
  • Easy to build, test and publish app

In the sections on Alexa we will cover:

  • The big picture – voice and text interfaces and current trends in human-computer interaction
  • How Alexa, Lex, Echo and the other bits of the Amazon ecosystem come together
  • Interaction models: Utterances, intents, slots, prompts and their resolution into API calls
  • Fulfilment models: Using AWS Lambdas to fulfil user intents, and how AWS lambdas provide smooth, no-ops, auto-scaling code endpoints

In the sections on Lex we will cover:

  • Interaction models: Utterances, intents, slots, prompts and their resolution into API calls
  • Fulfilment models: Using AWS Lambdas to fulfil user intents, and how AWS lambdas provide smooth, no-ops, auto-scaling code endpoints
  • Third-party integration: How a chatbot can be added to your Slack workspace

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Course Curriculum

Introduction

  • You, This Course and Us (2:40)
  • Source Code and PDFs

Alexa Basics: Eco-system and Skill Concepts

  • Skill Concepts: Invocations, Utterances and Intents (8:43)
  • Tools and Platforms: AWS, Amazon Developer Console and Echosim.io (8:17)
  • Types Of Skills (6:02)
  • Introducing Alexa (1:59)
  • Evolution Of Human Computer Interaction And Voice Interfaces (7:34)
  • Prereqs And Course Overview (2:53)
  • Alexa, Echo And AWS (5:57)

Build a Basic Alexa Skill

  • Overview Of The Stock Market Tracker (4:27)
  • Utterance-Intent Mapping (4:45)
  • Financial Data From AlphaVantage (3:20)
  • Setup And Configure An Alexa Skill (8:10)
  • AWS Lambdas (6:07)
  • Link the Alexa Skill with the Lambda Function (8:15)
  • Set up and Test Lambda Code (7:59)
  • Code And Test the Launch Request (5:07)
  • Code And Test the Intent Request (4:53)
  • Handle Help And Stop Intents (5:03)
  • Test Using Echosim.io (1:41)

Multi-turn Dialogs for Rich Conversation

  • Slots As Request Configuration Parameters (6:23)
  • Slots, Prompts And Utterances (8:09)
  • Financial Data From Intrinio (2:28)
  • What Exactly are Slots? (5:06)
  • Configure the Dialog Model (8:42)
  • Handle Start, End and Launch Requests (7:00)
  • Handle the GetStockInfo Intent (9:50)
  • Handle Help, Stop and Cancel Intents (1:18)
  • Testing With Echosim.io (1:53)

Persist State Across Sessions

  • Remember Data Across Sessions (5:47)
  • Create A Dynamo DB Table (2:06)
  • Configure Full Access To Dynamo DB from Lambda (7:34)
  • Handle Start, End and Launch Requests (1:50)
  • Handle Add, Remove And List Stock Intents (8:03)
  • Test Using Echosim.io (1:12)

Build a Flash Briefing Skill

  • Understanding Flash Briefing Skills (6:20)
  • Set Up A Twitter RSS Feed (3:07)
  • Set Up A Flash Briefing Skill (4:19)

Introducing Lex

  • Course Outline (8:01)
  • Signing in to AWS (6:10)
  • Sample Bots (4:39)
  • CustomBots_and_IAM (8:07)
  • Complete Creating Your First Bot (4:53)

Interaction Models in Amazon Lex

  • ModuleOutline (5:23)
  • CreatingIntents (5:02)
  • SlotTypes (8:04)
  • Slots (9:50)
  • Slot Properties (6:04)
  • Sample Utterances (7:03)
  • Confirmations (8:17)
  • ConfiguringTheBot (4:39)
  • Test:OrderCoke (6:21)
  • Test:Order Pizza (Fail) (6:31)
  • Test:OrderPizza (success) (7:40)
  • Cleaning Up Resources (6:22)

Fulfilment Models in Amazon Lex

  • Module Outline (5:49)
  • Weather Bot (4:39)
  • Built In Slot Types (7:17)
  • Setting Up Weather Bot (3:43)
  • Lambda Intro (7:08)
  • Lambda Blueprint (6:21)
  • Code Big Picture (3:42)
  • Lambda Handler (6:18)
  • Constructing Response (6:26)
  • Configuring an AWS Lambda (5:42)
  • Lex Lambda Configuration (4:25)
  • Open Weather API (6:09)
  • Invoking Open Weather API (9:20)
  • Importing External Libraries To AWS LAmbda (7:57)
  • Versions,Aliases And Publishing (9:24)

Third-party Apps: Chatbots in Slack

  • Module Outline (4:16)
  • Creating Slack Application (8:59)
  • Activating Lex ntegration (6:12)
  • Configuring Stack App (8:09)
  • Testing Slack Bot (3:21)

Get Building Apps Using Amazon's Alexa and Lex – Loonycorn, Only Price $11


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