Khwopa Engineering College, in coordination with Genese Academy and AWS User Group Nepal, hosted a webinar on the 5th of September, 2022. Anjani Phuyal, Genese Global CTO & Sushant Paudyal, Sr. Cloud Engineer were the panelists for the webinar titled "Machine Learning on AWS."
The webinar began by introducing the attendees to the fundamental ideas of AI, machine learning, and deep learning. The aforementioned issues' basic use cases, benefits, and future prospects were briefly presented. As the audience became more familiar with the subjects, then the webinar shifted to the interactive portion of the presentation, where the panellists demonstrated various AWS software products that use AIML as their foundation. The main goal of the event was to show attendees how to use and navigate the various machine learning services accessible on AWS.
In the beginning, the panellists discussed about computer vision, which is the process of extracting information from images. Then they demonstrated the AWS Management Console, which allows users to navigate through all of the accessible services. One of the main services on exhibit during the presentation was Amazon Rekognition. This tool offers features such as facial analysis, recognition, and comparison. The demo was centred around recognizing celebrities of Nepal, which piqued the curiosity of the audience. A video on "Amazon Go" was presented as one of the best use cases of Amazon Rekognition. All of the demo sessions were facilitated by Mr. Sushant Paudyal.
The focus then switched to software that utilized Natural Language Processing (NLP). The most popular and useful NLP tools were discussed. Some of which include:
- Amazon Transcribe - uses advanced ML technology to transcribe audio to text
- Amazon Polly - a managed service that converts text to lifelike speech
- Amazon Translate - provides high-quality translation on demand
- Amazon Comprehend - extracts useful insights from documents
- Amazon Lex - builds conversational interfaces by using voice and text
Mr. Paudyal then presented the audience to Amazon SageMaker after thoroughly outlining the best use cases for all of these products. SageMaker is a cloud machine-learning platform that allows developers to build, train, and deploy machine-learning models. The event concluded with a Q&A session, during which the attendees' questions and doubts were addressed.