Library

Course: Machine Learning with AWS

Machine Learning with AWS

  • Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App
  • Self-Paced
About this Course

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
Basic knowledge
  • 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
What you will learn
  • 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
Curriculum
Number of Lectures: 42
Total Duration: 03:22:32
Introduction
  • Introduction  
Amazon Comprehend
  • Amazon Comprehend  
  • Practical:Amazon Comprehend  
  • (PythonBoto3)Comprehend 1  
  • (PythonBoto3)Comprehend 2  
  • (PythonBoto3)Comprehend 3  
Amazon Lex and Amazon Polly
  • Amazon Lex  
  • Amazon Lex(2)  
  • Amazon Polly  
  • Practical:Chatbot using Amazon Lex  
  • Practical:Amazon Polly  
  • (PythonBoto3)Polly  
Amazon Rekognition
  • 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 Transcribe and Translate
  • Amazon Transcribe  
  • Amazon Translate  
  • Practical:Amazon Transcribe  
  • (PythonBoto3)Transcribe  
  • Practical:Amazon Translate  
  • (PythonBoto3)Translate  
Amazon SageMaker and AWS DeepLens
  • Amazon SageMaker  
  • AWS DeepLens  
Machine Learning(Using Amazon ML to Predict Responses to a Marketing Offer
  • 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  
Reviews (3)
1 month before
Great tutorial on Machine Learning, we can use a wide range of ML services available on AWS cloud to develop our own project. I enjoyed practical exercises which are simple to understand and to the point.
2 weeks before
There are a lot of courses on machine learning, but i found this course not just teaching machine learning concepts, but has a lot of great projects and practical excercises we can learn from.
1 week before
informative course