Amazon Machine Learning (Ai/Ml) Services

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