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.
Author: SK Singh
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DESCRIPTION
AWS has many advanced and helpful 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 recognition
- Amazon Transcribe: speech-to-text conversion
- Amazon Polly: text-to-speech conversion
- Amazon Translate: for language translations
- Amazon Lex: conversational interfaces
- Amazon Connect: cloud contact center
- Amazon Comprehend: Natural Language Processing (NLP)
- Amazon Comprehend Medical: HIPAA-eligible NLP (Natural Language Processing) service
- Amazon SageMaker: ML for developer/data scientist
- Amazon Forecast: build highly accurate forecasts
- Amazon Kendra: ML-powered search engine
- Amazon Personalize: real-time personalized recommendations
- Amazon Textract: detect text and data in documents
- Amazon Fraud Detector: Automatic fraud detection
- Amazon Sumerian: Build AR/VR and 3D applications
You will learn about these services with the help of diagrams and critical 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!
WHO IS THIS COURSE FOR:
- Anyone interested in learning AWS ML services
- Anyone preparing for AWS Cloud Practitioner or AWS Solutions Architect – Associate level and would want to learn about AWS ML services
REQUIREMENTS
- No programming experience is needed
WHAT WILL YOU LEARN
- AWS ML/AI Services
- Learn ML, AI, Computer Vision, and Robotics concepts to differentiate them
- Overview of many AWS ML services such as Rekognition, SageMaker, Forest, Comprehend, etc
- Knowledge gained will be helpful in answering ML-related questions in many AWS certification exams
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