AWS has many advanced and useful ML/AI services. If you would like to get a general understanding of AWS ML/AI services, this course is for you.

The course starts with a high-level understanding of ML, AI, Computer Vision, and Robotics. Then, you will get a high-level overview of many AWS ML  services.  After that, we talk about many AWS ML services in a little detail, as listed below:

Amazon Rekognition: face detection, labeling, celebrity recognitionAmazon Transcribe: speech-to-text conversionAmazon Polly: text-to-speech conversionAmazon Translate:  for language translationsAmazon Lex: conversational interfacesAmazon Connect: cloud contact centerAmazon Comprehend: Natural Language Processing (NLP)Amazon Comprehend Medical: HIPAA-eligible NLP (Natural Language Processing) serviceAmazon SageMaker: ML for developer/data scientistAmazon Forecast: build highly accurate forecasts Amazon Kendra: ML-powered search engineAmazon Personalize: real-time personalized recommendationsAmazon Textract: detect text and data in documentsAmazon Fraud Detector:  Automatic fraud detectionAmazon Sumerian: Build AR/VR and 3D applications

You will learn about these services with the help of diagrams and key use cases. In the end, you will get a quick summary of all the listed services.  In the last section, there are quiz questions to solidify the learning!

The knowledge gained in this course will also help you answer  ML-related questions in AWS Cloud Practitioner and AWS Solutions Architect – Associate level exams and AWS  job interviews related to ML services.

What you'll learn :

1. AWS ML/AI Services
2. Learn ML, AI, Computer Vision and Robotics concepts to differentiate them
3. Overview of many AWS ML services such as Rekognition, SageMaker, Forest, Comprehend etc
4. Knowledge gained will be helpful to answer ML related questions in many AWS certification exams

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