AI on AWS Workshop #AIonAWSbyLW #AIbyLW #AWSbyLW #AIworkshop #AIwithAWS #AWSworkshop #RightEducation #vimaldaga #makingindiafutureready

 Here are some of the key features that i learned from the workshop

AI and ML can be compared to the human brain. The AI models can be compared to the learning experiences of the human, while the human brain can be compared to different components like RAM and CPU in training the model.

When working with large and complex datasets with high resource requirements, it is better to utilize resources from cloud providers instead of provisioning resources by paying upfront. Also, many cloud providers also provide pre-trained models with high efficiency based on which we can build complex projects.

AWS Rekognition is focused on image and video analysis and related ML model utilization.

 Confidence score essentially means the probability that the label matches the object in the image/video.

 AWS Rekognition can be used through the AWS management console (Web UI), or using APIs through Python and libraries like boto3 and aws.

 In Python, the OpenCV library helps in connecting the Python program to an internal or external webcam.

AWS allows the creation of multiple users for every tenant account through the IAM service.

AWS Polly serves as a text to audio converter in various languages.

Amazon Lex is service provided by AWS which uses the concept of artificial intelligence to build chatbots.

 NLP is the acronym for Natural language Processing. It is the concept by which the machine try to comprehend the natural language .

An intent is the function created by user to exhibit the required action.

 Amazon Code Guru is a AWS Service which helps to optimize the code quality .

 The codeguru - profiler -agent is the python library which is installed so as to work with AWS code guru

Amazon comprehend is a service which helps to analyse text . It gives information about what kind of text contain.

 Amazon Textract as the name suggest is a service which is used to extract data from documents.

 Amazon personalize creates a recommendation system based on user preferences.

The AWS fraud detector keep a check over the hackers or frauds customers.



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