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Course curriculum
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1
You, This Course and Us
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2
Alexa Basics: Eco-system and Skill Concepts
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3
Build a Basic Alexa Skill
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4
Multi-turn Dialogs for Rich Conversation
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5
Persist State Across Sessions
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6
Build a Flash Briefing Skill
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You, This Course and Us Source Code and PDFs -
Introducing Alexa Evolution Of Human Computer Interaction And Voice Interfaces Prereqs And Course Overview Alexa, Echo And AWS Skill Concepts: Invocations, Utterances and Intents Tools and Platforms: AWS, Amazon Developer Console and Echosim.io Types Of Skills Downloads -
Overview Of The Stock Market Tracker Utterance-Intent Mapping Financial Data From AlphaVantage Setup And Configure An Alexa Skill AWS Lambdas Link the Alexa Skill with the Lambda Function Set up and Test Lambda Code Code And Test the Launch Request Code And Test the Intent Request Handle Help And Stop Intents Test Using Echosim.io Downloads -
Slots As Request Configuration Parameters Slots, Prompts And Utterances Financial Data From Intrinio What Exactly are Slots? Configure the Dialog Model Handle Start, End and Launch Requests Handle the GetStockInfo Intent Handle Help, Stop and Cancel Intents Testing With Echosim.io Downloads -
Remember Data Across Sessions Create A Dynamo DB Table Configure Full Access To Dynamo DB from Lambda Handle Start, End and Launch Requests Handle Add, Remove And List Stock Intents Test Using Echosim.io Downloads -
Understanding Flash Briefing Skills Set Up A Twitter RSS Feed Set Up A Flash Briefing Skill Downloads
Course Description
What will I 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
About the course
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
What's Covered
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
Who should take the course?
- Echo or FireTV developers looking to build Alexa Skills
- Website and mobile app developers looking to add voice apps
Pre-requisites & Requirements
- Basic javascript programming
- Basic understanding of HTTP/s and how REST APIs work