Building Apps Using Amazon's Alexa and Lex
Building Apps Using Amazon's Alexa and Lex, available at $49.99, has an average rating of 4.55, with 75 lectures, based on 323 reviews, and has 3580 subscribers.
You will learn about Build smooth voice-activated apps for Echo and other Alexa-aware devices Design and build sound interaction models for your Alexa skills Implement robust fulfilment models using AWS Lambdas This course is ideal for individuals who are Echo or FireTV developers looking to build Alexa Skills or Website and mobile app developers looking to add voice apps It is particularly useful for Echo or FireTV developers looking to build Alexa Skills or Website and mobile app developers looking to add voice apps.
Enroll now: Building Apps Using Amazon's Alexa and Lex
Summary
Title: Building Apps Using Amazon's Alexa and Lex
Price: $49.99
Average Rating: 4.55
Number of Lectures: 75
Number of Published Lectures: 75
Number of Curriculum Items: 75
Number of Published Curriculum Objects: 75
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- Build smooth voice-activated apps for Echo and other Alexa-aware devices
- Design and build sound interaction models for your Alexa skills
- Implement robust fulfilment models using AWS Lambdas
Who Should Attend
- Echo or FireTV developers looking to build Alexa Skills
- Website and mobile app developers looking to add voice apps
Target Audiences
- Echo or FireTV developers looking to build Alexa Skills
- Website and mobile app developers looking to add voice apps
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
Course Curriculum
Chapter 1: Introduction
Lecture 1: You, This Course and Us
Lecture 2: Source Code and PDFs
Chapter 2: Alexa Basics: Eco-system and Skill Concepts
Lecture 1: Introducing Alexa
Lecture 2: Evolution Of Human Computer Interaction And Voice Interfaces
Lecture 3: Prereqs And Course Overview
Lecture 4: Alexa, Echo And AWS
Lecture 5: Skill Concepts: Invocations, Utterances and Intents
Lecture 6: Tools and Platforms: AWS, Amazon Developer Console and Echosim.io
Lecture 7: Types Of Skills
Chapter 3: Build a Basic Alexa Skill
Lecture 1: Overview Of The Stock Market Tracker
Lecture 2: Utterance-Intent Mapping
Lecture 3: Financial Data From AlphaVantage
Lecture 4: Setup And Configure An Alexa Skill
Lecture 5: AWS Lambdas
Lecture 6: Link the Alexa Skill with the Lambda Function
Lecture 7: Set up and Test Lambda Code
Lecture 8: Code And Test the Launch Request
Lecture 9: Code And Test the Intent Request
Lecture 10: Handle Help And Stop Intents
Lecture 11: Test Using Echosim.io
Chapter 4: Multi-turn Dialogs for Rich Conversation
Lecture 1: Slots As Request Configuration Parameters
Lecture 2: Slots, Prompts And Utterances
Lecture 3: Financial Data From Intrinio
Lecture 4: What Exactly are Slots?
Lecture 5: Configure the Dialog Model
Lecture 6: Handle Start, End and Launch Requests
Lecture 7: Handle the GetStockInfo Intent
Lecture 8: Handle Help, Stop and Cancel Intents
Lecture 9: Testing With Echosim.io
Chapter 5: Persist State Across Sessions
Lecture 1: Remember Data Across Sessions
Lecture 2: Create A Dynamo DB Table
Lecture 3: Configure Full Access To Dynamo DB from Lambda
Lecture 4: Handle Start, End and Launch Requests
Lecture 5: Handle Add, Remove And List Stock Intents
Lecture 6: Test Using Echosim.io
Chapter 6: Build a Flash Briefing Skill
Lecture 1: Understanding Flash Briefing Skills
Lecture 2: Set Up A Twitter RSS Feed
Lecture 3: Set Up A Flash Briefing Skill
Chapter 7: Introducing Lex
Lecture 1: Course Outline
Lecture 2: Signing in to AWS
Lecture 3: Sample Bots
Lecture 4: Custom Bots and IAM
Lecture 5: Complete Creating Your First Bot
Chapter 8: Interaction Models in Amazon Lex
Lecture 1: Module Outline
Lecture 2: Creating Intents
Lecture 3: Slot Types
Lecture 4: Slots
Lecture 5: Slot Properties
Lecture 6: Sample Utterances
Lecture 7: Confirmations
Lecture 8: Configuring the Bot
Lecture 9: Test: Ordering Coke
Lecture 10: Test: Ordering Pizza (Fail)
Lecture 11: Test: Ordering Pizza (Success)
Lecture 12: Cleaning up Resources
Chapter 9: Fulfilment Models in Amazon Lex
Lecture 1: Module Outline
Lecture 2: Weather Bot
Lecture 3: Built In Slot Types
Lecture 4: Setting Up a Weather Bot
Lecture 5: Lambda Intro
Lecture 6: Lambda Blueprint
Lecture 7: The Big Picture: Code
Lecture 8: Lambda Handler
Lecture 9: Constructing a Response
Lecture 10: Configuring an AWS Lambda
Lecture 11: Lex Lambda Configuration
Lecture 12: Open Weather API
Lecture 13: Invoking the Open Weather API
Lecture 14: Importing External Libraries to an AWS Lambda
Lecture 15: Versions, Aliases And Publishing
Chapter 10: Third-party Apps: Chatbots in Slack
Lecture 1: Module Outline
Lecture 2: Creating A Slack Application
Lecture 3: Activating Lex Integration
Lecture 4: Configuring A Stack App
Lecture 5: Testing the Slack Bot
Instructors
-
Loony Corn
An ex-Google, Stanford and Flipkart team
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 11 votes
- 3 stars: 50 votes
- 4 stars: 122 votes
- 5 stars: 138 votes
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