Implementation of AI on AWS cloud.

Workshop of AI on AWS

Session 1 — Day 1

On day 1 I got to know lots of things about AI, how it works and practical use case for the world.

There were lots of concepts that got cleared and I was excited to know more about AI on AWS.

So if I list the things i learned on First Day:-

Aws has Amazon rekognition service which helps to detect the objects and scenes.

Amazon has some pre-created model, so we don’t need to built the model from scratch ,Using boto3 python library we can connect the python code to the AWS cloud.

Rekognition service has some sub services like object label and face detection .Output is also comes in JSON format.

opencv-python is a library which connects the web cam to our python code. Using cloud formation service, we can use multiple services together easily.

Amazon Polly service is used to convert the text to speech statements. Using SSML, we can control the speech wording.

Session 2— Day 2

Learning of the Second Day was:-

Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text.

NLP is the technology that is used by machines to understand, analyze, manipulate, and interpret human languages.

The intent is the function in the amazon lex service for performing which main point and configuration to perform user validation data and fulfillment.

Amazon Kendra is a highly accurate intelligent search service that enables your users to search unstructured data using natural language. Amazon CodeGuru tells you, how we can optimize the code.

Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents.

Amazon transcribe converts speech into text .AmazonTextract uses Optical Character Recognition (OCR) technology to automatically detect printed text and numbers in a scan or rendering of a document, such as a legal document or a scan of a book.

Amazon fraud detector is service by using we catch the fraudulent customer they do these type of activity.

AWS Translate is using neural machine learning algorithms to translate and takes into account the context when translating.