Machine Learning with AWS Course
Sagemaker|Comprehend|DeepLens|Lex|Polly|Transcribe|Translate|Celebrity recognition|ObjectAndSceneDetection|TextInImage
Updated on Jul, 2024
Language - English
Development,Machine Learning,Data Science
Lectures -42
Duration -3 hours
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Course Description
In this course we will learn and practice all the services of AWS Machine Learning which is being offered by AWS Cloud. There will be both theoretical and practical section of each AWS Machine Learning services.This course is for those who loves machine learning and wanted to build application based on cognitive computing , AI and ML.
You could integrate these services in your Web, Android, IoT, Desktop Applications like Face Detection, ChatBot, Voice Detection, Text to custom Speech (with pitch, emotions, etc), Speech to text, Sentimental Analysis on Social media or any textual data.
Machine Learning Services like-
Amazon Sagemaker to build, train, and deploy machine learning models at scale
Amazon Comprehend for natural Language processing and text analytics
Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa
Amazon Polly to turn text into lifelike speech using deep learning
Object and scene detection,Image moderation,Facial analysis,Celebrity recognition,Face comparison,Text in image and many more
Amazon Transcribe for automatic speech recognition
Amazon Translate for natural and accurate language translation
Goals
- Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa
- Amazon Comprehend for natural Language processing and text analytics
- Amazon Sagemaker to build, train, and deploy machine learning models at scale
- Amazon Polly to turn text into lifelike speech using deep learning
- Object and scene detection,Image moderation,Facial analysis,Celebrity recognition,Face comparison,Text in image and many more
- Amazon Transcribe for automatic speech recognition
- Amazon Translate for natural and accurate language translation
Prerequisites
- Nothing required at all! but if you have a background in computer science or development, it would be beneficial, but not required at all.
- AWS Account
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Introduction
10:11
10:11
Amazon Comprehend
5 Lectures
Amazon Lex and Amazon Polly
6 Lectures
Amazon Rekognition
17 Lectures
Amazon Transcribe and Translate
6 Lectures
Amazon SageMaker and AWS DeepLens
2 Lectures
Machine Learning(Using Amazon ML to Predict Responses to a Marketing Offer
4 Lectures
Instructor Details
Pranjal Srivastava
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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