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Machine Learning and Blockchain with Microsoft AZURE

person icon Pranjal Srivastava

4.4

Machine Learning and Blockchain with Microsoft AZURE

Learn to use ChatBot, QnAMaker, LUIS, Facebook bot, Translate and Blockchain Workbench in the cloud

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Pranjal Srivastava

English [CC]

category icon Development ,Data Science,

Lectures -44

Duration -3 hours

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4.4

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Course Description

This course is all about learning various Machine Learning and Blockchain Workbench on the Microsoft AZURE cloud platform. 

Machine learning and cloud computing are trending domains 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.

You will be learning the following topics of Machine Learning on Azure:

  • Simple chatbot integrated into HTML websites.

  • Echo Bot.

  • Facebook Chatbot.

  • Question and Answer Maker.

  • LUIS(Language Understanding).

  • Text Analytics.

  • Detecting Language.

  •  Analyze images and video.

  • Recognition handwritten from text.

  •  Generate Thumbnail.

  • Content Moderator.

  • Translate and many more things.

Blockchain is interesting because it brings together economics (movement of value), philosophy (concepts of trust and roots in libertarian thinking) and advanced technology (cryptography and distributed ledger technology). Within each, the research sub-topics as they apply to blockchain are endless. Looking into smart contracts is interesting because they form the basis for many of the proposed real-world applications of blockchain e.g. blockchain voting systems.

In the later sections, we are going to learn concepts of blockchain, cryptography and smart contracts. Also, clear the confusion that blockchain and bitcoin are not the same things

We will be using Azure Blockchain Workbench where you can create your own smart contract and roles and do transaction

There will be four roles Owner, Appraiser, Buyer and Inspector in our project.

Learn how to create blockchain applications and enter into the world of INTERNET 2.0

ALL THE BEST !!

Goals

  • Learn the concepts of Blockchain.
  • Learn to build smart contracts.
  • Bitcoin: A cryptocurrency.
  • Learn Azure Active Directory.
  • Learn to use different types of cloud computing services.
  • Echo Bot.
  • Facebook Chatbot.
  • Question and Answer Maker.
  • LUIS(Language Understanding).
  • Text Analytics.
  • Content Moderator.
  • Custom Vision.
  • Translate.

Prerequisites

  • No prerequisites, but if you have a basic idea of blockchain technology then it would be helpful.
  • You need to have a Microsoft Azure Account in order to use its services like blockchain workbench. You can create a free account.
  • You should have a Facebook business page.
Machine Learning and Blockchain with Microsoft AZURE

Curriculum

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

Azure Chatbot

2 Lectures
  • play icon Overview 01:18 01:18
  • play icon Introduction 05:21 05:21

Let's starts with by creating simple chatbot

1 Lectures
Tutorialspoint

WebChat bot

2 Lectures
Tutorialspoint

Facebook Chatbot

5 Lectures
Tutorialspoint

QnA Chatbot

3 Lectures
Tutorialspoint

LUIS bot

4 Lectures
Tutorialspoint

Custom Vision

4 Lectures
Tutorialspoint

Computer Vision

2 Lectures
Tutorialspoint

Content Moderator

4 Lectures
Tutorialspoint

Text Analytics

5 Lectures
Tutorialspoint

Translate

2 Lectures
Tutorialspoint

Introduction

1 Lectures
Tutorialspoint

Azure Blockchain Workbench

4 Lectures
Tutorialspoint

More on Blockchain Workbench

4 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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