Welcome to the AWS AI Services Workshop!
WARNING: Follow the instructions given by the workshop administrators on how to log in to the AWS account provided for this workshop. Do NOT use your personal or business account to run this workshop, as the required pre-built resources will not be available.
- Basic knowledge of AWS AI services
- Attended the AI Services for EdTech webinar
- A computer with video camera and microphone
- Chrome or FireFox browser
The main room - https://chime.aws/4421438528 will be used for presentation.
If you have any issues with the labs, or if you have questions, please navigate to the breakout room - https://chime.aws/7916630378
Further break out rooms may be created if more people need help.
In the first step, we will access your temporary AWS account where you will run your labs.
Once you are logged in, you will run an initialization script that will create required access to some of the solutions.
Complete the steps within 0-init module.
In this workshop, we will go through 4 to 6 solutions.
Lets get started!
Virtual Proctor is a solution that leverages Amazon Rekognition to show a scalable way to conduct online testing.
It shows how you can implement rules such as:
- Detecting objects of interest (such as mobile phone)
- Detecting the number of people present
- Recognizing the person who is taking a test
- Detecting unsafe content (such as explicit adult content or violent content)
Get started with 1-virtual-proctor module.
Allocated time: 20 minutes
The AWS Content Analysis solution helps you to perform automated video content analysis using a serverless application model to generate meaningful insights through machine learning (ML) generated metadata. The solution includes a web-based user interface to upload and search your video libraries.
The AWS Content Analysis solution combines Amazon Rekognition, Amazon Transcribe, Amazon Translate, and Amazon Comprehend to offer a suite of comprehensive capabilities to analyze a customer’s video content. The solution is a tailored application based on the Media Insights Engine (MIE) development framework.
Get started with 2-content-analysis module.
Allocated time: 20 minutes
AWS QnABot is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer’s questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.
Get started with 3-qna-bot module.
Allocated time: 40 minutes
This solution helps you build custom Amazon Personalize experiences for your use cases. Amazon Personalize allows you to create custom recommendation models at scale. This solution streamlines and accelerates the development and deployment of your personalization workloads through end-to-end automation and scheduling of updates for resources within the Amazon Personalize service.
Get started with 4-personalized-experiences module.
Allocated time: 30 minutes
The Document Understanding Solution (DUS) delivers an easy-to-use web application that ingests and analyzes files, extracts text from documents, identifies structural data (tables, key value pairs), extracts critical information (entities), and creates smart search indexes from the data. Additionally, files can be uploaded directly to and analyzed files can be accessed from an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account.
Get started with 5-document-understanding module.
Allocated time: 15 minutes
This solution helps you identify the most dominant topics associated with your products, policies, events, and brands. Implementing this solution helps you react quickly to new growth opportunities, address negative brand associations, and deliver higher levels of customer satisfaction.
Get started with 6-hot-topics module.
Allocated time: 15 minutes
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent