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Machine Learning Complete Course

person icon Pranjal Srivastava

4.6

Machine Learning Complete Course

Develop Cognitive Application on AWS and Microsoft AZURE

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Pranjal Srivastava

English [CC]

category icon Development ,Data Science,Machine Learning

Lectures -53

Duration -4 hours

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4.6

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Course Description

In this course, we will learn and practice all the services of AWS Machine Learning that is being offered by AWS Cloud. There will be both theoretical and practical sections of each AWS Machine Learning service. This course is for those who love machine learning and would like to build applications based on cognitive computing, AI, and ML.

You could integrate these services into your Web, Android, IoT, and Desktop Applications like Face Detection, ChatBot, Voice Detection, Text to Custom Speech (with pitch, emotions, etc.), Speech 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 images, and many more

Amazon Transcribe for automatic speech recognition

Amazon Translate for natural and accurate language translation

Machine learning and cloud computing are trending topics and also have a lot of job opportunities 

If you have an interest in machine learning as well as cloud computing, then this course is for you. This course will let you use your machine-learning skills to deploy in the cloud. There are various cloud platforms, but only a few are popular, like Azure, AWS, IBM Bluemix, and GCP.

Microsoft Azure is a cloud platform where we will deploy machine learning skills.

In this course, you will learn the following topics:

  1. Concept of Machine Learning

  2. Cognitive Services

  3. Text Analytics

  4. Detecting Language

  5. Analyze images and videos

  6. Recognition handwritten from text

  7. Generate Thumbnail 

  8. Content Moderator

  9. Translate 

    and many more things

ALL THE BEST !!

Goals

  • 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 images, and many more
  • Amazon Transcribe for automatic speech recognition
  • Amazon Translate for natural and accurate language translation
  • Echo Bot
  • Facebook Chatbot
  • Question and Answer Maker
  • LUIS(Language Understanding)
  • Text Analytics
  • Detecting Language
  • Analyze images and videos
  • Recognition handwritten from text
  • Generate Thumbnail
  • Content Moderator
  • Custom Vision
  • Translate
  • Simple chatbots integrated into HTML websites

Prerequisites

  • 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
Machine Learning Complete Course

Curriculum

Check out the detailed breakdown of what’s inside the course

AZURE Machine Learning Overview

1 Lectures
  • play icon Introduction to Azure Machine Learning 11:36 11:36

Computer vision

2 Lectures
Tutorialspoint

Content Moderator

4 Lectures
Tutorialspoint

Custom Vision

4 Lectures
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Text Analytics

5 Lectures
Tutorialspoint

Translate

2 Lectures
Tutorialspoint

AWS Machine Learning

1 Lectures
Tutorialspoint

Amazon Comprehend

5 Lectures
Tutorialspoint

Amazon Lex and Amazon Polly

6 Lectures
Tutorialspoint

Amazon Rekognition

9 Lectures
Tutorialspoint

Amazon SageMaker and AWS DeepLens

2 Lectures
Tutorialspoint

Machine Learning (Using Amazon ML to Predict Responses to a Marketing Offer)

5 Lectures
Tutorialspoint

Amazon Transcribe and Translate

6 Lectures
Tutorialspoint

Instructor Details

Pranjal Srivastava

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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