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Cloud Computing with Microsoft Azure BUNDLE 2020

Created by Harshit Srivastava, Pranjal Srivastava, Last Updated 07-Jul-2020, Language:English

Cloud Computing with Microsoft Azure BUNDLE 2020

A COMPLETE Boot-camp with multiple Projects

Created by Harshit Srivastava, Pranjal Srivastava, Last Updated 07-Jul-2020, Language:English

What Will I Get ?

  • On completion of this course you would be able to develop and deploy your applications over Microsoft Azure.
  • Having command over large number of options, services and tools available on Microsoft Azure Cloud Platform.

Requirements

  • No prerequisites at all. But if you are aware of some cloud based or web development tools and technologies, it is helpful.

Description

In this course, we would explore various tools and services available on Microsoft Azure Cloud Platform. We 

We would be exploring following Services in different categories:

1) STORAGE-           BloB, File, Disk, Table, Queue, Data Lake, StorSimple, Archive, Backup.

2)  CONTAINER-      Docker, Kubernetes, Container Registry, AKS, Container Instance, Service Fabric Cluster 

3) NETWORKING-   DNS, Traffic Manager, Firewall, ExpressRoute, Virtual WAN, NSG  (Network Security Group), VNet

4) DATABASE-         SQL Database, CosmosDB, Data Warehouse

5) MACHINE LEARNING-   Computer Vision, Custom Vision, Content Moderator, Translate, Text Analysis

6) CHATBOT-          Simple, Web, Facebook, QnA, LUIS

7) ANALYTICS-        Stream Analytics, HDInsight, Lake Analytics, Data Explorer, Databricks

8) DEVOPS-             Boards, Artifact, Repos, Pipelines, Test Plan, Tool Integration, DevTest Labs, Application Insight, Azure Organisation

9) SECURITY-           Security Centre, Azure Active Directory,  VPN Gateway, DDoS Protection, Key Vaults, Dedicated HSM, Application            Gateways, Sentinel, Information Protection

10) MIGRATION-     Site Recovery, Database Migration, Migrate, Migration Project, DataBox


We would be learning concepts and methodologies with practical exercises. This course consists of multiple Projects on various topics.

Course Content

  • Introduction

    1 Lectures 00:07:18

    • Introduction

      Preview
      00:07:18

  • Storage Services

    11 Lectures 01:37:18

    • Blob

      Preview
      00:14:01

    • Disk

      Preview
      00:09:47

    • Files

      Preview
      00:07:14

    • Table

      00:07:38

    • Queue

      00:08:21

    • Data Lake

      00:07:23

    • StorSimple

      00:08:38

    • Backup

      00:11:52

    • Archive

      00:10:35

    • Practical Blob

      00:06:21

    • Practical Files

      00:05:28

  • Storage Project 1

    5 Lectures 00:39:10

    • blob cli

      00:18:04

    • file cli

      00:07:25

    • file cli 2

      00:04:11

    • file cli 3

      00:05:30

    • file cli 4

      00:04:00

  • Host a Website on Cloud

    10 Lectures 01:02:16

    • static website 1

      00:02:21

    • static website 2

      00:04:36

    • static website 3

      00:04:30

    • upload image website 1

      00:16:13

    • upload image website 2

      00:05:04

    • upload image website 3

      00:00:46

    • upload image website 4

      00:05:12

    • upload image website 5

      00:04:07

    • wordpress 1

      00:12:36

    • wordpress 2

      00:06:51

  • Other CLI options

    6 Lectures 00:28:03

    • cli cloudshell

      00:04:01

    • cli cloudshell python

      00:02:50

    • cli install

      00:06:01

    • cli powershell

      00:02:40

    • storage explorer 1

      00:02:04

    • storage explorer 2

      00:10:27

  • Container

    6 Lectures 00:49:33

    • What is Docker

      00:11:04

    • What is Kubernetes

      00:08:07

    • Container Registry

      00:05:50

    • AKS (Azure Kubernetes Service)

      00:12:13

    • Container Instances

      00:05:50

    • Service Fabric Cluster

      00:06:29

  • Project: AKS (Azure Kubernetes Services)

    4 Lectures 00:31:37

    • Project AKS: Part 1

      00:05:30

    • Project AKS: Part 2

      00:05:36

    • Project AKS: Part 3

      00:14:53

    • Project AKS: Part 4

      00:05:38

  • Project Container Instance

    4 Lectures 00:38:54

    • Project Container Instance: Part 1

      00:10:05

    • Project Container Instance: Part 2

      00:13:10

    • Project Container Instance: Part 3

      00:03:05

    • Project Container Instance: Part 4

      00:12:34

  • Project Container Registry

    2 Lectures 00:18:10

    • Project Container Registry: Part-1

      00:04:33

    • Project Container Registry: Part-2

      00:13:37

  • Networking

    7 Lectures 00:48:18

    • DNS

      00:06:10

    • Traffic Manager

      00:07:38

    • Firewall

      00:07:25

    • ExpressRoute

      00:05:04

    • Virtual WAN

      00:07:17

    • NSG (Network Security Group)

      00:06:30

    • VNet (Virtual Network)

      00:08:14

  • Networking Projects

    3 Lectures 00:33:27

    • PROJECT Vnet: Part 1

      00:11:10

    • PROJECT Vnet: Part 2

      00:11:40

    • PROJECT NSG (Network Security Group)

      00:10:37

  • Database

    7 Lectures 00:36:51

    • SQL Database

      00:10:10

    • CosmosDB

      00:06:02

    • CosmosDB- Create an Instance

      00:01:58

    • CosmosDB- Exploring Options

      00:02:42

    • Data Warehouse

      00:06:02

    • Data Warehouse- Create an Instance

      00:03:11

    • Data Warehouse- Exploring Options

      00:06:46

  • PROJECT: CosmosDB

    2 Lectures 00:23:13

    • PROJECT: CosmosDB part 1

      00:15:17

    • PROJECT: CosmosDB part 2

      00:07:56

  • PROJECT: SQL Database

    4 Lectures 00:42:43

    • PROJECT: SQL Database 1

      00:12:58

    • PROJECT: SQL Database 2

      00:08:12

    • PROJECT: SQL Database 3

      00:16:10

    • PROJECT: SQL Database 4

      00:05:23

  • Machine Learning

    17 Lectures 01:15:59

    • Computer Vision : Create Service

      00:10:20

    • Computer Vision : Analyze image , text in image and generate thumbnail

      00:04:17

    • Custom Vision : Create project

      00:03:55

    • Custom Vision : Upload Image and add tags

      00:04:05

    • Custom Vision : Train model and predict unlabeled image

      00:03:10

    • Custom Vision : Delete Resource

      00:00:54

    • Content Moderator:Text Moderation

      00:08:11

    • Content Moderator:Image and Video Moderation

      00:05:37

    • Content Moderator : Explore Dashboard

      00:01:03

    • Content Moderator : Create Instance

      00:03:14

    • Translate :Creating Service

      00:02:33

    • More on Translate

      00:09:24

    • Text Analytics :Create Service

      00:02:36

    • Text Analytics :Language Detection

      00:05:16

    • Text Analytics :Sentiment Analysis

      00:04:33

    • Text Analytics :Key Phrase Extraction

      00:02:54

    • Text analytics

      00:03:57

  • Develop Chatbot

    14 Lectures 01:18:49

    • Introduction

      00:05:21

    • Simple Bot: Test in Web chat

      00:05:15

    • Facebook Chatbot : Create Facebook App for FB Business page

      00:09:58

    • Facebook Chatbot : Gather Credentials

      00:06:21

    • Facebook Chatbot : Connect bot services with Facebook App

      00:02:57

    • Facebook Chatbot : Deploy

      00:03:05

    • Facebook Chatbot : Deleting resources

      00:06:59

    • QnA : Introduction

      00:04:21

    • QnA : Creating QnA Maker services

      00:05:16

    • QnA : Knowledge Base

      00:04:41

    • LUIS : Introduction

      00:06:24

    • LUIS : Creating and testing LUIS app

      00:03:47

    • LUIS : Publish LUIS app

      00:02:42

    • LUIS : Adding some modification to LUIS app

      00:11:42

  • Analytics

    5 Lectures 00:34:02

    • Stream Analytics

      00:05:44

    • HDInsight

      00:06:37

    • Lake Analytics

      00:07:25

    • Data Explorer

      00:07:37

    • Databricks

      00:06:39

  • Project: Stream Analytics

    6 Lectures 00:25:39

    • stream analytics 1

      00:05:00

    • stream analytics 2

      00:07:58

    • stream analytics 3

      00:02:07

    • stream analytics 4

      00:08:44

    • stream analytics 5

      00:01:14

    • stream analytics 6

      00:00:36

  • Project: HDInsight

    6 Lectures 00:45:07

    • Hdinsight 1

      00:05:00

    • hdinsight 2

      00:12:11

    • data analytics 1

      00:08:20

    • HDInsight 3- Spark

      00:03:36

    • HDInsight 4- Jupyter

      00:06:39

    • HDInsight 5- Zappelin

      00:09:21

  • Devops

    15 Lectures 01:30:59

    • Introduction to DevOps

      00:09:34

    • Azure Boards

      00:07:32

    • Azure Artifacts

      00:07:44

    • Azure Repos

      00:08:47

    • Azure Pipelines

      00:09:10

    • Azure Test Plans

      00:06:35

    • Azure Tool Integration

      00:03:15

    • DevOps Projects- Create an Instance

      00:02:52

    • DevOps Projects- Boards, Repos

      00:06:55

    • DevOps Projects- Pipeline, Test Plan, Artifact

      00:06:29

    • Azure DevTest Labs

      00:07:41

    • DevTest Labs- Create an Instance

      00:01:43

    • DevTest Labs- Exploring options

      00:04:41

    • Application Insights

      00:05:48

    • Azure DevOps Organization

      00:02:13

  • Security

    14 Lectures 01:35:45

    • Security Center

      00:09:33

    • Security Center- Practical

      00:07:05

    • Azure Active Directory

      00:07:12

    • VPN Gateway

      00:08:07

    • DDos Protection

      00:11:24

    • Key Vaults

      00:09:52

    • Key Vaults- Practical

      00:09:01

    • Dedicated HSM

      00:04:35

    • Application Gateways

      00:05:58

    • Application Gateways- Part 1 Practical

      00:03:06

    • Application Gateways- Part 2 Practical

      00:04:06

    • Sentinel

      00:06:00

    • Sentinel- Practical

      00:01:58

    • Information Protection

      00:07:48

  • Cloud Migration

    11 Lectures 01:02:44

    • Introduction to Migration

      00:09:22

    • Site Recovery

      00:10:13

    • Recovery Services- Practical

      00:08:17

    • Database Migration Service

      00:04:52

    • Part-1 Create Migration Instance

      00:02:05

    • Part-2 Database Migration Options

      00:02:49

    • Azure Migrate

      00:07:01

    • Migration Projects

      00:04:45

    • Data Box

      00:07:11

    • Data Box- Requesting from Azure Portal

      00:03:16

    • Data Box edge and Data Gateway

      00:02:53

Harshit Srivastava

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Pranjal Srivastava

SME of AWS & IBM Cloud

I am passionate developer, machine learning enthusiast, coder and bug fixer. Developed many applications on various platforms including python, java, android, php, etc.

I have worked over cloud on IBM Bluemix, AWS, and Microsoft Azure. Prefer digital marketing and SEO in my free time.

I am IBM certified Python developer.

Created own Programming language in Hindi .

#ILoveIndia

#LoveOpenSource   #SmartProgrammer

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