Tech Stack : Amazon Echo, Alexa, , IBM Cloud Functions, Apache OpenWhisk serverless framework, Cloud
In this developer pattern, we will create an Alexa skill using Watson™ Assistant via the Apache OpenWhisk serverless framework. Alexa is the voice service behind products like Amazon Echo. IBM Cloud Functions (based on Apache OpenWhisk) will be used to integrate Alexa with Watson Assistant. An example conversation is included to demonstrate how to
OPTION 1 : Project
Industry Mentor from CEW will be assigned to help on the project.
Project Lifecycle will be : Scope, Architecture & Planning, Design, Coding, Testing, Go-Live/Award
Technology Involved : Amazon Echo, Alexa, , IBM Cloud Functions, Apache OpenWhisk serverless framework, Cloud , Agile, Functional & Non Functional Requirements Capturing, Architecture & Solution Design, Project Plan, Project Estimatation, Use Case Modelling, UML Design, Process Flow Diagrams, UX Personas, Stakeholder Analysis, UX Best Practices, Responsive Design, Coding Best Practices, Unit Testing, Github, Deployment of Project, Devops, Automation, Go Live Procedures + this project
(limited time offer)
OPTION 2 : Class & Project
Industry Expert Teachers from CEW will be assigned for 12 weeks coaching on the technologies used in project.
After 12 weeks of teaching, project work will start.
Industry Mentor from CEW will be assigned to help on the project.
Project Lifecycle will be : Scope, Architecture & Planning, Design, Coding, Testing, Go-Live/Award
Technology Involved : Amazon Echo, Alexa, , IBM Cloud Functions, Apache OpenWhisk serverless framework, Cloud , Agile, Functional & Non Functional Requirements Capturing, Architecture & Solution Design, Project Plan, Project Estimatation, Use Case Modelling, UML Design, Process Flow Diagrams, UX Personas, Stakeholder Analysis, UX Best Practices, Responsive Design, Coding Best Practices, Unit Testing, Github, Deployment of Project, Devops, Automation, Go Live Procedures + this project
(limited time offer)
No Other Class in the world teaches you Real life implementation | Agile Implementation | Requirements Capturing | Architecture & Solution Design | Project Plan | Project Estimatation | Use Case Modelling | UML Design | Process Flow Diagrams | UX Personas | Stakeholder Analysis | UX Best Practices | Responsive Design | Coding Best Practices | Unit Testing | Github | Deployment of Project | Devops | Automation |Go Live Procedures + this project of the projects like we do
What you will learn ?
- Real-world how IT projects are implemented
- Implement project using Amazon Echo, Alexa, , IBM Cloud Functions, Apache OpenWhisk serverless framework, Cloud
- Capture Requirements of the project using Use Case Modelling (Stakeholders, Personas, Main Scanario, Alternate, Negative, Edge Cases)
- Define Functional & Non-Functional Use Cases
- Create project design using UML Modelling
- Implement project coding using code respositories.
- How Google Analytics, Search Engine Optimization(SEO) are implemented.
- How UX Banners are created.
- Testing using unit tests(create & execute)
- Deployment of the project in cloud
- User Acceptance Testing - How client identify issues, how you fix issues
- Go Live of the project
Description
Leveraging multiple technologies is common in many workflows, and this developer pattern was created to show how you can integrate an Amazon Alexa skill with Watson Assistant. If you’re a developer focused on chatbots or artificial intelligence, this is for you. This pattern shows you how to take a conversation built with Watson and make it available to Alexa users.
We will create an Alexa skill using Watson Assistant via the Apache OpenWhisk serverless framework. Alexa is the voice service behind products like the Amazon Echo. IBM Cloud Functions (based on Apache OpenWhisk) will be used to integrate Alexa with Watson Assistant. An example conversation is included.
When you complete this pattern, you will understand how to:
- Create an OpenWhisk action in the IBM Cloud Functions serverless platform.
- Store a session’s conversation context across events.
- Import a conversation from the BAE or a JSON file.
- Invoke a conversation with Watson using Node.js.
- Create an Alexa skill to reach tens of millions of customers.
Flow
- User says “Alexa, ask Watson…”
- Alexa invokes IBM Cloud Functions with input text.
- The action gets a response from Watson Assistant.
- The response text is sent back to Alexa.
- Alexa replies to the user.
Conclusion
This code pattern showed how you can create an Alexa skill using Watson Assistant through the Apache OpenWhisk serverless framework.
Timelines : 8 weeks
Project will go through the phases of scope, design, coding, unit testing, UAT, Award(Go Live)
Winner will be chosen for each phase(scope,design,coding,unit testing,UAT,Go-Live) of the project, cash prize from CEW ′, certificate, cloud credits will be provided for each phase.
