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Published 12/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 410.10 MB | Duration: 0h 50m

Amazon Rekognition, Transcribe, Polly, Translate, Lex, Amazon Connect, Comprehend, SageMaker, Forecast, Kendra, Persona​

What you'll 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 to answer ML related questions in many AWS certification exams
Requirements
No programming experience is needed
Description
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 applicationsYou 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.
Overview
Section 1: Introduction
Lecture 1 Introduction to AI/ML
Lecture 2 AWS AI/ML Services - High-Level Overview
Section 2: Amazon AI/ML Services
Lecture 3 Amazon Rekognition
Lecture 4 Amazon Transcribe
Lecture 5 Amazon Polly
Lecture 6 Amazon Translate
Lecture 7 Amazon Lex
Lecture 8 Amazon Connect
Lecture 9 Amazon Comprehend
Lecture 10 Amazon SageMaker
Lecture 11 Amazon Forecast
Lecture 12 Amazon Kendra
Lecture 13 Amazon Personalize
Lecture 14 Amazon Textract
Lecture 15 Amazon Fraud Detector
Lecture 16 Amazon Sumerian
Lecture 17 Summary
Section 3: Final Quiz
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

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[KatzSec DevOps]

oaxino salamat sa pag contribute. Next time always upload your files sa

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[alextorex]

Oh , many thanks