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Building Apps Using Amazon’s Alexa and Lex – Loonycorn
Original price was: $20.00.$7.00Current price is: $7.00.
In StockAlexa, 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.
Description
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Building Apps Using Amazon's Alexa and Lex
Alexa Skills and Lex Chatbots
![2893e57e29198ec71cb26aae40b25606639e4901 - eSys[GroupBuy]](https://embed-ssl.wistia.com/deliveries/2893e57e29198ec71cb26aae40b25606639e4901.jpg?image_crop_resized=800x450&image_play_button_size=2x&image_play_button=1&image_play_button_color=ff7a03e0 "Building Apps Using Amazon's Alexa and Lex - Loonycorn - eSys[GroupBuy]")
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
Get Building Apps Using Amazon's Alexa and Lex – Loonycorn, Only Price $11
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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