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Complete Machine Learning Bootcamp [Updated]
Rating: 4.4 out of 5(35 ratings)
5,436 students

Complete Machine Learning Bootcamp [Updated]

Develop Cognitive Application on AWS and Microsoft AZURE
Last updated 11/2021
English

What you'll 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
  • Echo Bot
  • Facebook Chat bot
  • Question and Answer Maker
  • LUIS(Language Understanding)
  • Text Analytics
  • Detecting Language
  • Analyze image and video
  • Recognition handwritten from text
  • Generate Thumbnail
  • Content Moderator
  • Custom Vision
  • Translate
  • Simple chatbot integrate in HTML websites

Course content

17 sections73 lectures5h 20m total length
  • Introduction to Azure Machine Learning11:36
  • What are Cognitive services? [Summary]2:15
  • Difference between AI and Machine Learning [Summary]0:36

Requirements

  • If you have a background in computer science or development, it would be beneficial.
  • You should have an AWS Account or Microsoft Azure account
  • You should have a Facebook business page

Description

Do you know which job is the highest paying and most in demand job? If you look for the answer whether on Google or any job listing search engine. Then the answer will remain same for the question, i.e. Machine Learning Engineer.

If you are wondering where to begin this journey of learning, then this course is for YOU. In this course you will learn and practice all the services related to Machine Learning in AWS and Microsoft Azure Cloud.  This course provides you in depth learning about cognitive computing, machine learning as well as cloud computing. It offers 5 hrs learning with practical hands on ML and cognitive services

This learning path has been designed to help people get a deeper understanding of the real-life problems in the field.

You will be able to integrate these services into 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. 


AWS Machine Learning Services are-

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

Microsoft Azure Machine Learning Services are-

  • Text Analytics

  • Detecting Language

  • Analyze image and video

  • Recognition handwritten from text

  • Generate Thumbnail

  • Content Moderator

  • Translate and many more things

ALL THE BEST !!


Who this course is for:

  • Anyone who is curious to experiment with Artificial Intelligence and develop applications or simply interested in exploring AWS Machine Learning and its powerful services available on AWS Cloud.
  • Basic knowledge of web development
  • Minimal level of Azure Services