Machine Learning with AWS

Course

Online

£ 5 + VAT

Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

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

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

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

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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 6 years

Subjects

  • Image
  • Information Systems
  • Information Systems management
  • IT
  • IT Management
  • Management
  • Programming
  • Programme Planning
  • Programming Application
  • Computing

Course programme

Introduction 1 lecture 10:11 Introduction Introduction 1 lecture 10:11 Introduction Introduction Introduction Introduction Introduction Amazon Comprehend 5 lectures 20:14 Amazon Comprehend Practical:Amazon Comprehend (PythonBoto3)Comprehend 1 (PythonBoto3)Comprehend 2 (PythonBoto3)Comprehend 3 Amazon Comprehend 5 lectures 20:14 Amazon Comprehend Practical:Amazon Comprehend (PythonBoto3)Comprehend 1 (PythonBoto3)Comprehend 2 (PythonBoto3)Comprehend 3 Amazon Comprehend Amazon Comprehend Amazon Comprehend Amazon Comprehend Practical:Amazon Comprehend Practical:Amazon Comprehend Practical:Amazon Comprehend Practical:Amazon Comprehend (PythonBoto3)Comprehend 1 (PythonBoto3)Comprehend 1 (PythonBoto3)Comprehend 1 (PythonBoto3)Comprehend 1 (PythonBoto3)Comprehend 2 (PythonBoto3)Comprehend 2 (PythonBoto3)Comprehend 2 (PythonBoto3)Comprehend 2 (PythonBoto3)Comprehend 3 (PythonBoto3)Comprehend 3 (PythonBoto3)Comprehend 3 (PythonBoto3)Comprehend 3 Amazon Lex and Amazon Polly 6 lectures 46:31 Amazon Lex Amazon Lex(2) Amazon Polly Practical:Chatbot using Amazon Lex Practical:Amazon Polly (PythonBoto3)Polly Amazon Lex and Amazon Polly 6 lectures 46:31 Amazon Lex Amazon Lex(2) Amazon Polly Practical:Chatbot using Amazon Lex Practical:Amazon Polly (PythonBoto3)Polly Amazon Lex Amazon Lex Amazon Lex Amazon Lex Amazon Lex(2) Amazon Lex(2) Amazon Lex(2) Amazon Lex(2) Amazon Polly Amazon Polly Amazon Polly Amazon Polly Practical:Chatbot using Amazon Lex Practical:Chatbot using Amazon Lex Practical:Chatbot using Amazon Lex Practical:Chatbot using Amazon Lex Practical:Amazon Polly Practical:Amazon Polly Practical:Amazon Polly Practical:Amazon Polly (PythonBoto3)Polly (PythonBoto3)Polly (PythonBoto3)Polly (PythonBoto3)Polly Amazon Rekognition 17 lectures 51:38 Amazon Rekognition Object and scene detection(Overview) Object and scene detection(Practical) (PythonBoto3)Detect Label Facial analysis(Overview) Facial analysis(Practical) (PythonBoto3)Detect Face Celebrity recognition(Overview) Celebrity recognition(Practical) (PythonBoto3)Celebrity Recognition Face comparison(Overview) Face comparison(Practical) (PythonBoto3)Face Comparison Text in image(Overview) Text in image(Practical) (PythonBoto3)Detect Text in Image Visual Analysis Amazon Rekognition p Amazon Translate Practical:Amazon Transcribe (PythonBoto3)Transcribe Practical:Amazon Translate (PythonBoto3)Translate Amazon Transcribe Amazon Transcribe Amazon Transcribe Amazon Transcribe Amazon Translate Amazon Translate Amazon Translate Amazon Translate Practical:Amazon Transcribe Practical:Amazon Transcribe Practical:Amazon Transcribe Practical:Amazon Transcribe (PythonBoto3)Transcribe (PythonBoto3)Transcribe (PythonBoto3)Transcribe (PythonBoto3)Transcribe Practical:Amazon Translate Practical:Amazon Translate Practical:Amazon Translate Practical:Amazon Translate (PythonBoto3)Translate (PythonBoto3)Translate (PythonBoto3)Translate (PythonBoto3)Translate Amazon SageMaker and AWS DeepLens 2 lectures 15:27 Amazon SageMaker AWS DeepLens Amazon SageMaker and AWS DeepLens 2 lectures 15:27 Amazon SageMaker AWS DeepLens Amazon SageMaker Amazon SageMaker Amazon SageMaker Amazon SageMaker AWS DeepLens AWS DeepLens AWS DeepLens AWS DeepLens Machine Learning(Using Amazon ML to Predict Responses to a Marketing Offer 5 lectures 23:31 ML 1 -Prepare Your Data ML 2-Create a Training Datasource ML 3-Create an ML Model ML 4-Use the ML Model to Generate Predictions ML 5-Clean Up Machine Learning(Using Amazon ML to Predict Responses to a Marketing Offer 5 lectures 23:31 ML 1 -Prepare Your Data ML 2-Create a Training Datasource ML 3-Create an ML Model ML 4-Use the ML Model to Generate Predictions ML 5-Clean Up ML 1 -Prepare Your Data ML 1 -Prepare Your Data ML 1 -Prepare Your Data ML 1 -Prepare Your Data ML 2-Create a Training Datasource ML 2-Create a Training Datasource ML 2-Create a Training Datasource ML 2-Create a Training Datasource ML 3-Create an ML Model ML 3-Create an ML Model ...

Additional information

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

Machine Learning with AWS

£ 5 + VAT