Practical Handson Guide for Alexa Skill Development 2022

Rapidly build & deploy Virtual Personal Assistants using Alexa Custom Skills; Master Conversational/Voice User Interface
Practical Handson Guide for Alexa Skill Development 2022
File Size :
4.11 GB
Total length :
6h 46m

Category

Instructor

Vivek Kapoor

Language

Last update

2/2022

Ratings

4.5/5

Practical Handson Guide for Alexa Skill Development 2022

What you’ll learn

Build Alexa Custom Skills to augment Amazon Echo’s Strengths, with superior understanding of the core fundamentals
Deconstruct an Alexa Skill, and get clarity on what are Intents, Slots, and Utterances
Use Nodejs 14.x and asynchronous requests with promises, await & async functions with Alexa Skills Kit SDK v2 (ask-sdk-core)
Be more than just an Alexa Skill Developer – get the “Meta” understanding of how the pieces fit together – and be technology agnostic
Create “visual” Voice Interaction Models for Advanced Voice User / Conversational Interfaces
Try out Amazon Polly with SSML as well as Chatbots through Amazon Lex
Introduce errors, and Test Alexa Skills through 3 different modes including Alexa Simulator, Alexa App & Amazon Echo Devices
Setup Security through Amazon’s IAM (Identity and Access Management)
Program in Amazon Lambda (Serverless Computing)
Use Amazon S3’s Storage API
Use Google Maps Directions API for getting Real-time Traffic Information
Monitor performance and debug errors through Amazon CloudWatch

Practical Handson Guide for Alexa Skill Development 2022

Requirements

If you intend to develop a skill, then a basic understanding of Nodejs and JavaScript.
It will be good to have an Amazon Echo device as it will help in faster testing. Otherwise you can use the web baesd Alexa Simulator.

Description

~~ Jan 2022 Update • Start the year right! ~~There’s a new section, “TL;DR – Diving in & creating one skill”, that will help you get started with Skill Building using the latest Amazon Alexa Developer Console interface. You will build a “Zodiac Finder” skill that will help you learn several voice interaction concepts – such as Invocation Name, Intents & Slots (both Built-in & Custom), Slot Values, Interaction Model, Skill Logic, Debugging, Setting Lambda Endpoints, and using Multiple Languages. Finally, you will test the skill on the browser-based Alexa Simulator, the Alexa App and an Amazon Echo device.•••Get Meta & Practical Knowledge on Building Voice Interfaces (VUIs) / Conversational InterfacesSuitable for Beginners & Power UsersDevelopersProject ManagersMarketerCourse HighlightsGet an understanding of Lambda, Lex, Polly, S3 & moreUtilize Alexa Skills Kit v2 using Node.js 10.xBuild an Introductory Skill (for Reading out Quotes)Create an Advanced Skill using Third Party APIs (Google Maps)Get the fundamental understanding of how all pieces fit together and how a Virtual Personal Assistant works–Why this course?There is a shift happening in the way we as a species communicate with machines. With the advent of Amazon Alexa, Google Assistant, Apple Siri, and Microsoft Cortana, the focus on Voice User Interfaces or Voice Activated Conversational Interfaces is rapidly increasing.This ever changing world presents a threat to the way we operate, especially when we do not understand it. A more AI aware world might be years away, but if we learn how to talk to and control the machines then we grow collectively.–The “Real” Goal for this courseYes, Amazon Alexa and similar voice activated interfaces look and sound pretty cool. You can use the extensive documentation available with each interface to build out the skills.However, just learning the syntax of a particular system is not enough. To mature as an individual, you need to gain the foundational skills on how these interfaces operate, and be technology agnostic when it comes to building these conversational interfaces.The real goal of this course is to get you competent enough to understand the complexities that go behind designing and creating the voice user interfaces, so that you can immediately assess how different pieces of the puzzle fit together.–Practical Implementation of the Real GoalNo matter how much of the fundamental knowledge you have, if you are unable to put it to practice, then usually it is of no real value.This course not only focuses on getting you ahead of others in understanding how a voice user interface works, but helps you build your very own uber cool personal assistant using Amazon Alexa, that can do what you can make it do.Building a personal assistant using Alexa Custom Skills is just one of the techniques, and you will learn very soon that you can design a variety of interfaces through the knowledge that you gain.Amazon has always been ahead of the game in terms of building voice interfaces, and you will be able to understand how you can leverage what Amazon has to offer to get you to communicate with machines effectively.–What will you learn?By using Amazon Alexa, and building a Voice Activated Personal Assistant, you will gain the following:Understand what is Amazon Alexa and its ecosystemWhat are Voice Interaction Models, and how they can help you build a better and reliable voice interfaceKnow the technologies that work behind a voice activated interfaceUse Amazon Services such as Lambda, S3, CloudWatch, & IAM and how they interact with each otherDeconstruct an Alexa Skill, and get clarity on what are Intents, Slots, and UtterancesDevelop with Node.js 10.x and Alexa Skills Kit SDK v2 to build a personal assistant that responds to your queriesConnect with Third Party APIs and process information, use asynchronous requests, promises, and await expressions in async functionsMaintain data persistence within an Active Alexa SessionIntroduce errors, and Test Alexa Skills through 4 different modes including simulators and physical devicesLeverage the Amazon Web Services to build a Consistently Reliable ArchitectureYou will get a complete checklist on what all you will be achieving, with code that is available on GitHub for easy access. The lectures will have links, files, and diagrams attached to them wherever relevant.

Even if you do not have the knowledge of Node.js, you will be able to fundamentally understand how you can build custom skills, and implement it in your own preferred language.The sooner you get into building the voice interfaces, the faster you will be able to mould the machines to your liking.

Enroll Now, and begin to shape the brand new voice activated world!

Overview

Section 1: Introduction, Course Pre-requisites, and a Try-out

Lecture 1 Introduction – Build a Rad Personal Assistant

Lecture 2 What will you learn?

Lecture 3 What will you need to be effective in this course?

Lecture 4 Getting the Code, and Using a Checklist

Lecture 5 Making the best use of this course / Udemy 101

Lecture 6 Try out Alexa via Amazon Alexa App

Section 2: Understanding Alexa and its Ecosystem

Lecture 7 Rise of Voice User Interfaces

Lecture 8 Alexa based Smart Speakers and other Devices

Lecture 9 Current Abilities of Alexa

Lecture 10 What are Alexa Skills?

Lecture 11 Type of Alexa Skills, and ASK – the Alexa Skills Kit

Lecture 12 Alexa Skill Development Overview

Section 3: Overview of Technology behind Alexa

Lecture 13 Amazon Polly and SSML – the Text To Speech engine

Lecture 14 Amazon Lex and Chatbots – Brains Behind Voice User Interfaces

Lecture 15 Serverless Computing – changing the conventional deployment models

Lecture 16 Amazon Lambda – the Serverless Computing solution by Amazon

Section 4: TL;DR – Diving in & creating one skill

Lecture 17 About the 2022 Update

Lecture 18 Section Overview

Lecture 19 Amazon Developer Portal Account Setup

Lecture 20 Create Zodiac Finder Custom Skill on Developer Console

Lecture 21 Testing Hello World Default Skill

Lecture 22 Frontend – Voice Interaction Model

Lecture 23 Backend – Skill Logic Code Overview

Lecture 24 Preparing Data for Zodiac Finder

Lecture 25 Backend – Writing Skill Logic

Lecture 26 Testing the skill in Alexa Simulator

Lecture 27 Debugging the date – 29th February

Lecture 28 Debugging Capricorn – 25th December

Lecture 29 Testing the skill on Alexa App

Lecture 30 Testing the skill in Multiple Languages on Amazon Echo Dot

Lecture 31 Joining the dots – Overview

Lecture 32 Deconstructing Interaction Model, JSON Editor, Sample Utterances and Slots

Lecture 33 Deconstructing Code, Endpoints, JSON Input and Output

Lecture 34 Joining the dots – Conclusion

Section 5: Build your First Lambda Function and connect with S3

Lecture 35 Amazon Web Services Account Setup

Lecture 36 Amazon S3, and First Lambda Function’s Goal

Lecture 37 Amazon S3 Buckets and File Upload

Lecture 38 Create Amazon IAM (Identity and Access Management) Role

Lecture 39 About Promises and Await Expressions in Async Functions

Lecture 40 Create Lambda Function `takeS3backup`

Lecture 41 Prepare Lambda Test Events to check S3 Connectivity

Lecture 42 Upgrade `takeS3backup` Lambda Function to copy S3 files

Lecture 43 Test and Verify S3 File Upload

Section 6: Build your First Alexa Skill – Eva 1.0

Lecture 44 Goal 1 – Make “Eva”, Your First Alexa Skill, to Read Out Quotes

Lecture 45 Deconstructing an Alexa Skill Statement

Lecture 46 Pointers to building an Awesome Voice Interface

Lecture 47 Designing a Voice Interaction Model for Eva 1.0

Lecture 48 Preparing the Intents, Slots, Utterances and Data for an Alexa Custom Skill

Lecture 49 2020 Update – Important Considerations

Lecture 50 Configuring Eva 1.0 Custom Skill on Amazon Developer Portal

Lecture 51 Using the Self Hosted Option – the built-in Code interface

Lecture 52 Request Handlers, Objects & Builder in Lambda Function for Alexa

Lecture 53 Lambda Function to make Eva 1.0 introduce itself

Lecture 54 Extending Eva 1.0 Lambda Function to achieve Goal 1 of reading quotes

Section 7: Testing Eva 1.0 – An Alexa Custom Skill

Lecture 55 Lambda Test Events to test Eva 1.0

Lecture 56 Developer Portal Service Simulator to test Eva 1.0

Lecture 57 Introduction to Amazon CloudWatch for reviewing logs and debugging errors

Lecture 58 Amazon Alexa App to test Eva 1.0

Lecture 59 Amazon Echo to test Eva 1.0

Lecture 60 Troubleshooting Errors

Section 8: Eva 2.0 – Making Eva Useful by connecting to APIs & getting real time route info

Lecture 61 Goal 2 – Make Eva tell you real time traffic information using Third Party APIs

Lecture 62 Designing a detailed Voice Interaction Model for Eva 2.0

Lecture 63 Get Google Maps API Key for Route & Traffic Information

Lecture 64 Prepare Intents, Slots, Utterances and Coordinates for Route Information

Lecture 65 Configure Eva 2.0 Skill on Developer Portal with New Intents, Slots, Utterances

Lecture 66 EvaFunction 2.0 in Lambda (1/3) – Configuration and Helper functions

Lecture 67 EvaFunction 2.0 in Lambda (2/3) – Handlers for GetBookmarks and Built-in Intents

Lecture 68 EvaFunction 2.0 in Lambda (3/3) – Handler for GetRoute Intent

Lecture 69 Testing Eva 2.0 through Lambda Test Events

Lecture 70 Testing Eva 2.0 through Amazon Echo and CloudWatch

Section 9: Taking Alexa Development to the Next Level

Lecture 71 Advanced Options in Developer Console including Skill Publishing

Lecture 72 Ideas – Enhance Eva and make it better

Lecture 73 Ideas – Create Alexa Voice Service

Lecture 74 Ideas – Build Smart Home Skills

Lecture 75 Building a Consistently Reliable Architecture using Amazon

Developers who would like to build and deploy Alexa Skills, and also get the “Meta” knowledge of how things work,Project Managers who need to know the building blocks of a Voice User Interface as well as an Alexa Skill, and how things fit together,Marketers who can leverage Voice User Interfaces to build superior experiences for their customers,Power Users who are interested in extending their Amazon Echo’s capabilities, based on one’s specific needs.,Curious Humans who would like to see Artificially Intelligent Systems that are shaping our world today,Anyone who would like to get fundamental knowledge on building next generation Conversational / Voice User Interfaces,Anyone who got inspired by J.A.R.V.I.S in Iron Man, and aspires to replicate it! 🙂

Course Information:

Udemy | English | 6h 46m | 4.11 GB
Created by: Vivek Kapoor

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