COMPLETE Amazon Web Services BUNDLE 2020

from Beginner to Advanced Level

Created by Pranjal Srivastava, Harshit Srivastava, Last Updated 09-Dec-2020, Language:English

What Will I Get ?

On completion of this course you would be able to develop and deploy your applications over Amazon Cloud- Amazon Web Services.
Having command over all the options, services and tools available.
You could develop Mobile, Web, IoT, AI, and other applications.
Learn to create an Object Storage, Alexa ChatBOT, DevOps Toolchain, etc

Requirements

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

Description

In this course, we would explore Amazon Cloud- Amazon Web Services. Learn all the available services under catalog, and what we can do with each service provided with platform and Infrastructure categories. This course covers wide range of AWS services including-

STORAGE Services- S3, Glacier, EBS, EFS, Storage Gateway

COMPUTE Services- EC2, Beanstalk, Lambda, Container, Lightsail, VPC

DATABASE Services- DynamoDB, Elasticache, RDS, Redshift

ANALYTICS Services- Kinesis, EMR

MOBILE Services- Mobile Hub, AppSync, DeviceFarm, Pinpoint

ACCESS MANAGEMENT- IAM, Cognito, CloudWatch

We will be learning each of them in some depth building practical demonstration, and certain projects on topics like Lambda, IAM, API Gateway, etc. At later parts we would develop and deploy our test applications on AWS.

Course Content

Introduction

10 Lectures 00:50:15
- AWS Introduction
  
  Preview
  
  00:07:22
- Create an account
  
  Preview
  
  00:07:03
- Launch a Virtual Machine
  
  00:06:35
- Register a Domain
  
  00:02:38
- Create Backend for Mobile App
  
  00:04:20
- Connect an IoT device
  
  00:01:25
- Build using Virtual Server
  
  00:01:42
- Start Development Project
  
  00:05:21
- Deploy Serverless Microservice
  
  00:04:54
- Build a Web app
  
  00:08:55
AWS Services

22 Lectures 02:10:11
- AWS EC2
  
  Preview
  
  00:10:36
- AWS VPC
  
  Preview
  
  00:05:28
- AWS EC2 container
  
  00:04:04
- AWS Beanstalk
  
  00:04:51
- PRACTICAL- Beanstalk
  
  00:03:43
- AWS Lambda
  
  00:13:15
- AWS Lightsail
  
  00:05:02
- Aws Analytics EMR
  
  00:08:49
- Aws Analytics Kinesis
  
  00:08:03
- PRACTICAL- EKS
  
  00:01:17
- PRACTICAL- ECS
  
  00:04:15
- PRACTICAL- Batch
  
  00:02:31
- Aws Database intro
  
  00:05:44
- Aws Database DynamoDB
  
  00:06:31
- Aws Database Elasticache
  
  00:11:32
- Aws Database RDS
  
  00:03:03
- Aws Database Redshift
  
  00:09:32
- Aws Storage EBS
  
  00:04:39
- Aws Storage EFS
  
  00:03:51
- Aws Storage Gateway
  
  00:03:37
- Aws Storage Glacier
  
  00:03:52
- Aws Storage S3
  
  00:05:56
Understanding Lambda functions

14 Lectures 01:14:52
- AWS CLI- Part-1
  
  Preview
  
  00:08:38
- AWS CLI- Part-2
  
  00:05:41
- How lambda works internally
  
  00:06:16
- Handler Function
  
  00:03:39
- Event Object
  
  00:05:48
- Context Object
  
  00:06:37
- Callback object
  
  00:05:47
- Working with Logs
  
  00:07:16
- Creating Lambda function with ZIP files
  
  00:03:43
- Creating a Lambda function
  
  00:03:47
- Connecting with API Gateway as Trigger
  
  00:06:21
- Passing Information through API Gateway
  
  00:04:59
- Writing data to DynamoDB
  
  00:03:46
- Reading data from DynamoDB
  
  00:02:34
Cognito Mobile

11 Lectures 01:27:06
- What is Amazon Cognito?
  
  Preview
  
  00:08:55
- Cognito In-depth
  
  00:21:13
- Cognito- Practical
  
  00:05:50
- Mobile Hub
  
  00:11:44
- Mobile Hub {demo}
  
  00:04:23
- AppSync
  
  00:07:38
- Mobile AppSync {demo}
  
  00:02:47
- DeviceFarm
  
  00:07:29
- Mobile DeviceFarm {demo}
  
  00:02:24
- Mobile Analytics
  
  00:12:09
- Mobile Analytics {demo}
  
  00:02:34
AWS Developer tools

10 Lectures 01:07:07
- cloud9
  
  Preview
  
  00:07:15
- cloud9 practical
  
  00:04:43
- CodeBuild
  
  00:07:35
- CodeBuild practical
  
  00:05:03
- CodeCommit
  
  00:07:02
- CodeCommit practical
  
  00:05:46
- CodePipeline
  
  00:07:50
- CodePipeline practical
  
  00:07:06
- CodeStar
  
  00:07:05
- CodeStar practical
  
  00:07:42
Machine Learning with AWS

1 Lectures 00:10:11
- Introduction
  
  00:10:11
Amazon Comprehend

5 Lectures 00:20:12
- Amazon Comprehend
  
  Preview
  
  00:07:24
- Practical: Amazon Comprehend
  
  00:05:54
- (PythonBoto3)Comprehend 1
  
  00:02:04
- (PythonBoto3)Comprehend 2
  
  00:01:54
- (PythonBoto3)Comprehend 3
  
  00:02:56
Amazon Lex and Amazon Polly

6 Lectures 00:46:29
- Amazon Lex
  
  00:08:05
- Amazon Lex 2
  
  00:07:06
- Practical:Chatbot using Amazon Lex
  
  00:11:54
- Amazon Polly
  
  00:06:57
- Practical:Amazon Polly
  
  00:09:56
- (PythonBoto3)Polly
  
  00:02:31
Amazon Rekognition

17 Lectures 00:51:30
- Amazon Rekognition
  
  Preview
  
  00:06:12
- Object and scene detection(Overview)
  
  00:03:33
- Object and scene detection(Practical)
  
  00:02:45
- (PythonBoto3)Detect Label
  
  00:02:38
- Facial analysis(Overview)
  
  00:03:31
- Facial analysis(Practical)
  
  00:04:38
- (PythonBoto3)Detect Face
  
  00:02:00
- Celebrity recognition(Overview)
  
  00:02:42
- Celebrity recognition(Practical)
  
  00:01:36
- (PythonBoto3)Celebrity Recognition
  
  00:03:00
- Face comparison(Overview)
  
  00:02:39
- Face comparison(Practical)
  
  00:02:30
- (PythonBoto3)Face Comparison
  
  00:02:13
- Text in image(Overview)
  
  00:03:18
- Text in image(Practical)
  
  00:01:18
- (PythonBoto3)Detect Text in Image
  
  00:04:39
- Visual Analysis
  
  00:02:18
Amazon Transcribe and Translate

6 Lectures 00:32:55
- Amazon Transcribe
  
  Preview
  
  00:06:12
- Amazon Translate
  
  00:04:12
- Practical:Amazon Transcribe
  
  00:10:11
- Practical:Amazon Translate
  
  00:03:22
- (PythonBoto3)Translate
  
  00:02:09
- (PythonBoto3)Transcribe
  
  00:06:49
Amazon SageMaker and AWS DeepLens

2 Lectures 00:15:26
- Amazon SageMaker
  
  00:09:49
- AWS DeepLens
  
  00:05:37
Machine Learning(Using Amazon ML to Predict Responses to a Marketing Offer

5 Lectures 00:23:29
- ML 1 -Prepare Your Data
  
  00:02:02
- ML 2-Create a Training Datasource
  
  00:04:27
- ML 3-Create an ML Model
  
  00:00:54
- ML 4-Use the ML Model to Generate Predictions
  
  00:12:28
- ML 5-Clean Up
  
  00:03:38
Game, AR and VR Development

4 Lectures 00:32:41
- Gamelift
  
  Preview
  
  00:09:23
- PRA- Gamelift
  
  00:05:49
- Sumerian
  
  00:09:51
- PRA- Sumerian
  
  00:07:38
Cloud Migration

4 Lectures 00:24:16
- Migration Hub
  
  00:08:45
- Migration Hub- PRACTICAL
  
  00:03:38
- Snowball
  
  00:08:56
- Snowball- PRACTICAL
  
  00:02:57
Application Integration

10 Lectures 00:52:46
- Amazon MQ
  
  00:05:29
- PRACTICAL- Amazon MQ
  
  00:04:06
- SNS
  
  00:08:47
- PRACTICAL- SNS
  
  00:04:28
- SQS
  
  00:06:57
- PRACTICAL- SQS
  
  00:03:23
- Step functions
  
  00:06:37
- PRACTICAL- Step functions
  
  00:05:38
- SWS
  
  00:05:16
- PRACTICAL- SWS
  
  00:02:05
Identity and Security

18 Lectures 01:32:07
- Artifact
  
  00:08:00
- PRACTICAL- Artifact
  
  00:01:52
- Certificate Manager
  
  00:09:04
- PRACTICAL- Certificate Manager
  
  00:04:31
- Cloud HSM
  
  00:07:06
- PRACTICAL- Cloud HSM
  
  00:01:19
- Directory Service
  
  00:08:58
- PRACTICAL- Directory Service
  
  00:03:30
- GuardDuty
  
  00:08:48
- PRACTICAL- GuardDuty
  
  00:00:58
- Inspector
  
  00:06:12
- PRACTICAL- Inspector
  
  00:01:34
- Secrets Manager
  
  00:05:07
- PRACTICAL- Secrets Manager
  
  00:03:41
- Single Sign-On
  
  00:06:22
- PRACTICAL- Single Sign-On
  
  00:02:53
- WAF and Shield
  
  00:08:11
- PRACTICAL- WAF and Shield
  
  00:04:01

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