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

Rekognition, Transcribe, Polly, Translate, Lex, 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: Rekognition: face detection, labeling, celebrity recognition Transcribe: speech-to-text conversion Polly: text-to-speech conversion Translate: for language translations Lex: conversational interfaces Connect: cloud contact center Comprehend: Natural Language Processing (NLP) Comprehend Medical: HIPAA-eligible NLP (Natural Language Processing) service SageMaker: ML for developer/data scientist Forecast: build highly accurate forecasts Kendra: ML-powered search ee Personalize: real- personalized recommendations Textract: detect text and data in documents Fraud Detector: Automatic fraud detection 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: AI/ML Services

Lecture 3 Rekognition

Lecture 4 Transcribe

Lecture 5 Polly

Lecture 6 Translate

Lecture 7 Lex

Lecture 8 Connect

Lecture 9 Comprehend

Lecture 10 SageMaker

Lecture 11 Forecast

Lecture 12 Kendra

Lecture 13 Personalize

Lecture 14 Textract

Lecture 15 Fraud Detector

Lecture 16 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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