Our team worked together on building an Alexa skill with the help of AWS lambda. The primary purpose of the skill developed was to help new users get to know more about Technical Hub. The skill was designed to be able to answer any question a newly joining individual may have regarding technical hub; its team, and their services.
Using Cognitive Services describes the use of the Cognitive Services APIs for text and image processing, and in recommendation applications, and also describes the use of neural networks with Azure Machine Learning.
Integrate Your Amazon Lex Chatbot with Any Messaging Service - AWS Online Tec...Amazon Web Services
Learning Objectives:
- Learn about Amazon Lex and associated concepts such as intents and utterances
- Learn how to setup and configure Amazon API Gateway
- How to leverage AWS Lambda as the compute layer in front of Amazon Lex
Developing email client re mail for iphone, ipad and ipod on iosRahul Sharma
iOS is the operating system at the heart of iPhone, iPod touch, and iPad devices. The benefits of the applications developed for iOS is that we can easily run all applications on iPhone, IPod touch and iPad devices.
Hands-on with Rekognition, Polly & Lex - Pop-up Loft TLV 2017Amazon Web Services
The AWS Cloud now provides a range of AI services based on Deep Learning technology and automatic learning. These services bring natural language understanding (Amazon Lex), image recognition (Amazon Rekognition) and voice synthesis (Amazon Polly) to your applications. Come discover them during this session through a number of live demos.
Slides from my talk at Brighton Java on 28th June 2017. This was a 10 minute guide to producing a simple skill for Amazon Alexa.
A youtube recording of the talk is here:
https://www.youtube.com/watch?v=mGSooaFvfmE
Our team worked together on building an Alexa skill with the help of AWS lambda. The primary purpose of the skill developed was to help new users get to know more about Technical Hub. The skill was designed to be able to answer any question a newly joining individual may have regarding technical hub; its team, and their services.
Using Cognitive Services describes the use of the Cognitive Services APIs for text and image processing, and in recommendation applications, and also describes the use of neural networks with Azure Machine Learning.
Integrate Your Amazon Lex Chatbot with Any Messaging Service - AWS Online Tec...Amazon Web Services
Learning Objectives:
- Learn about Amazon Lex and associated concepts such as intents and utterances
- Learn how to setup and configure Amazon API Gateway
- How to leverage AWS Lambda as the compute layer in front of Amazon Lex
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A youtube recording of the talk is here:
https://www.youtube.com/watch?v=mGSooaFvfmE
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by Keith Steward, Solutions Architect, AWS
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Following are the list of topics covered in this session:
What are chatbots?
What is AWS Lex?
How does Lex work?
Key concepts & terminologies
Creating a chatbot using Amazon Lex
Check out our complete AWS Playlist here: https://goo.gl/8qrfKU
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Announcing Amazon Lex - January 2017 AWS Online Tech TalksAmazon Web Services
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
Learning Objectives:
• Learn about the capabilities and features of Amazon Lex
• Learn about the benefits of Amazon Lex
• Learn about the different use cases
• Learn how to get started using Amazon Lex
Integrate Your Amazon Lex Chatbot with Any Messaging ServiceAmazon Web Services
Amazon Lex offers built-in integrations with Slack, Twilio, Marketo, Salesforce, Quickbooks, Microsoft Dynamics, Zendesk, and Hubspot. But, you can also integrate with any other application by combining the Lex API and AWS API Gateway to extend your chatbots into virtually any use case with minimal effort.
This session will show you how. The design pattern shown will be interesting to folks who want to build a pre-processing layer in front of Lex or want to route messages to multiple specialized bots.
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Amazon Lex is a service for building conversational interfaces into any applications using voice and text. With Lex, the same deep learning engine that powers Amazon Alexa is now available to any developer, enabling you to build sophisticated, natural language chatbots into your new and existing applications. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) to allow you to build highly engaging user experiences with lifelike, conversational interactions. In this introductory session, find out how Lex provides deep functionality and flexibility to empower you to define entirely new categories of products that are made possible through conversational interfaces.
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Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. Join this session and learn how get started with Amazon Lex, add conversational interface features to your applications and integrate with text-chat and voice based interfaces.
Integrate Your Amazon Lex Chatbot with Any Messaging Service - May 2017 AWS O...Amazon Web Services
Learning Objectives:
- Learn how to setup and configure AWS API Gateway
- Learn how to leverage AWS Lambda as the compute layer in front of Amazon Lex
- Learn about Multi-bot architecture
Amazon Lex offers built-in integrations with Slack, Twilio, Marketo, Salesforce, Quickbooks, Microsoft Dynamics, Zendesk, and Hubspot. But, you can also integrate with any other application by combining the Lex API and AWS API Gateway to extend your chatbots into virtually any use case with minimal effort. This session will show you how. The design pattern shown will be interesting to folks who want to build a pre-processing layer in front of Lex or want to route messages to multiple specialized bots.
Integrate Your Amazon Lex Chatbot with Any Messaging Service - AWS Online Tec...Amazon Web Services
Learning Objectives:
- Learn about Amazon Lex and associated concepts such as intents and utterances, Learn how to setup and configure Amazon API Gateway, How to leverage AWS Lambda as the compute layer in front of Amazon Lex
Building voice enabled Apps with Alexa voice service and Amazon Lex. Amazon Web Services
Have you heard about Alexa? Chances are that you have.
But Amazon Echo which powers Alexa is not yet available in India.
How can I now introduce voice enabled applications to my customers?
Well, there are two ways. Use the Alexa voice service. Use the Alexa Voice Service (AVS) to add intelligent voice control to any connected product that has a microphone and speaker.
Or you could use Lex and Polly for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
This track will guide you to create real life applications using Lex to create a new
Speaker:
Shailesh Albuquerque
Manager-Solutions Archtecture, Amazon India
Steve Shirkey, Solutions Architect, ASEAN, AWS
With the launch of several new Machine Learning (ML) services on AWS, now is your chance to learn how to quickly apply ML to solve real-world business problems, no prior ML experience necessary. During this session, you will learn about vision services to analyze your images and video for facial comparison, object detection and detecting text (Amazon Rekognition and Amazon Rekognition Video), building conversational interfaces for chatbots (Amazon Lex), and core language services for converting audio to text (Amazon Transcribe), converting text to speech (Amazon Polly), identifying topics and themes in text (Amazon Comprehend) and translating between two languages (Amazon Translate).
An Overview of AI at AWS: Amazon Lex, Amazon Polly, Amazon Rekognition, Apach...Amazon Web Services
by Keith Steward, Solutions Architect, AWS
AI services on the AWS cloud bring deep learning technologies like natural language understanding, automatic speech recognition, computer vision, text-to-speech, and machine learning within reach of every developer. For more in-depth deep learning applications, the Deep Learning AMIs let you create managed, auto-scaling clusters of GPUs for large scale training, or run inference on trained models with compute-optimized or general-purpose CPU instances. Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to improve scale and efficiency with the AWS Cloud. Level 200
( ** AWS Architect Training: https://www.edureka.co/cloudcomputing ** )
This “AWS Lex Tutorial” (AWS Blog Series: https://goo.gl/v6dwa7) by Edureka will help you understand what chatbots are & how to build awesome chatbots using Aws Lex service.
Following are the list of topics covered in this session:
What are chatbots?
What is AWS Lex?
How does Lex work?
Key concepts & terminologies
Creating a chatbot using Amazon Lex
Check out our complete AWS Playlist here: https://goo.gl/8qrfKU
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Announcing Amazon Lex - January 2017 AWS Online Tech TalksAmazon Web Services
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
Learning Objectives:
• Learn about the capabilities and features of Amazon Lex
• Learn about the benefits of Amazon Lex
• Learn about the different use cases
• Learn how to get started using Amazon Lex
Integrate Your Amazon Lex Chatbot with Any Messaging ServiceAmazon Web Services
Amazon Lex offers built-in integrations with Slack, Twilio, Marketo, Salesforce, Quickbooks, Microsoft Dynamics, Zendesk, and Hubspot. But, you can also integrate with any other application by combining the Lex API and AWS API Gateway to extend your chatbots into virtually any use case with minimal effort.
This session will show you how. The design pattern shown will be interesting to folks who want to build a pre-processing layer in front of Lex or want to route messages to multiple specialized bots.
An introductory presentation on Chatbots with Serverless (AWS Lambda). It covers AWS Lez, its terminologies and AWS Lambda in detail. It also showcases on how to connect your Lex bot to Facebook Messenger.
AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Lex (MAC304)Amazon Web Services
Amazon Lex is a service for building conversational interfaces into any applications using voice and text. With Lex, the same deep learning engine that powers Amazon Alexa is now available to any developer, enabling you to build sophisticated, natural language chatbots into your new and existing applications. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) to allow you to build highly engaging user experiences with lifelike, conversational interactions. In this introductory session, find out how Lex provides deep functionality and flexibility to empower you to define entirely new categories of products that are made possible through conversational interfaces.
Building ChatBots with Amazon Lex - AWS Summit Tel Aviv 2017Amazon Web Services
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. Join this session and learn how get started with Amazon Lex, add conversational interface features to your applications and integrate with text-chat and voice based interfaces.
Integrate Your Amazon Lex Chatbot with Any Messaging Service - May 2017 AWS O...Amazon Web Services
Learning Objectives:
- Learn how to setup and configure AWS API Gateway
- Learn how to leverage AWS Lambda as the compute layer in front of Amazon Lex
- Learn about Multi-bot architecture
Amazon Lex offers built-in integrations with Slack, Twilio, Marketo, Salesforce, Quickbooks, Microsoft Dynamics, Zendesk, and Hubspot. But, you can also integrate with any other application by combining the Lex API and AWS API Gateway to extend your chatbots into virtually any use case with minimal effort. This session will show you how. The design pattern shown will be interesting to folks who want to build a pre-processing layer in front of Lex or want to route messages to multiple specialized bots.
Integrate Your Amazon Lex Chatbot with Any Messaging Service - AWS Online Tec...Amazon Web Services
Learning Objectives:
- Learn about Amazon Lex and associated concepts such as intents and utterances, Learn how to setup and configure Amazon API Gateway, How to leverage AWS Lambda as the compute layer in front of Amazon Lex
Building voice enabled Apps with Alexa voice service and Amazon Lex. Amazon Web Services
Have you heard about Alexa? Chances are that you have.
But Amazon Echo which powers Alexa is not yet available in India.
How can I now introduce voice enabled applications to my customers?
Well, there are two ways. Use the Alexa voice service. Use the Alexa Voice Service (AVS) to add intelligent voice control to any connected product that has a microphone and speaker.
Or you could use Lex and Polly for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
This track will guide you to create real life applications using Lex to create a new
Speaker:
Shailesh Albuquerque
Manager-Solutions Archtecture, Amazon India
Steve Shirkey, Solutions Architect, ASEAN, AWS
With the launch of several new Machine Learning (ML) services on AWS, now is your chance to learn how to quickly apply ML to solve real-world business problems, no prior ML experience necessary. During this session, you will learn about vision services to analyze your images and video for facial comparison, object detection and detecting text (Amazon Rekognition and Amazon Rekognition Video), building conversational interfaces for chatbots (Amazon Lex), and core language services for converting audio to text (Amazon Transcribe), converting text to speech (Amazon Polly), identifying topics and themes in text (Amazon Comprehend) and translating between two languages (Amazon Translate).
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3. Certainly! IAM
manages access
to AWS services and
resources
IAM stands for Identity & Access Managment
and is set up by root/admin account
4. So I can choose
who can access
backend resources
in my app?
Least privilege is the practice of restricting access rights to
only those resources absolutely required to perform
routine activities
Exactly - it helps
reinforce the policy
of least privilege
6. Yes - that's
right!
Lex can build
applications so users
can have a lifelike
conversation with our
app?
Is this what
Alexa
Technology
uses too?
7. Awesome! Okay
let's get back to
learning about IAM
roles for Lex
Great!
There are two
IAM Roles
8. The first one is...
AWSServiceRoleforLexBots
Invokes Amazon Polly
Calls Amazon Comprehend
Amazon Polly creates applications that talk
Amazon Comprehend discovers insights from the natural language
10. HaHa - it
does looks
strange !
Cool! Those are some
some strange looking
names. There's no spaces
between words?
Yes, that's
right. The
IAM roles
are big
words with
no spaces
11. Okay, how do we
create these IAM
roles when using Lex?
Nothing!
AWS
Creates it
for you!
12. Really? How
does that
work?
When a developer creates the first
bot using the AWS Console, Lex
creates the IAM role
AWSServiceRoleforLexBots
The AWS Console is where the developer can
manage the AWS resources.
13. When the developer first associates
bot with a messaging channel, Lex
creates the IAM role
AWSServiceRoleforLexChannels
Ok, how about
the other IAM
role?
Messaging platforms that Lex works with includes
Facebook, Slack, and Twilio
14. IAM stands for Identity & Access Management
and is used to manage access to AWS services
and resources
Awesome! Let's
see if I got this
straight...
Lex builds
conversational
interfaces into any
application using
voice and text
Perfect!
15. And for the IAM
Roles...
There are 2 IAM Roles that are
automatically created
AWSServiceRoleforLexBots is used to create speech
responses with Polly and calls upon Amazon
Comprehend service to determine what the user is
saying with natural language understanding. It is
created automatically when using the Lex Console
AWSServiceRoleforLexChannels is used to
post text on messaging channels. It is
created when developer first associates bot
with a messaging channel like Facebook
Messenger.
16. Yes it
does!
Amazon Lex and
IAM have some
great resources to
help build
chatbots!
You can learn more about Lex at
https://docs.aws.amazon.com/lex/latest/dg/w
hat-is.html
17. Thank you for joining us as
we learn a little about
Amazon Lex and IAM.
If you have any questions or
would like to learn more
please feel free to reach out
to the contact information
below:
Tasha Penwell
Text: 740-300-1684
Email: penwellt31810@hocking.edu