COMPLETE Amazon Web Services BUNDLE 2020
Created by Pranjal Srivastava, Harshit Srivastava, Last Updated 09-Dec-2020, Language:English
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
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Introduction
10 Lectures 00:50:15-
AWS Introduction
Preview00:07:22 -
Create an account
Preview00:07:03 -
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
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-
AWS Services
22 Lectures 02:10:11-
AWS EC2
Preview00:10:36 -
AWS VPC
Preview00:05:28 -
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
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-
Understanding Lambda functions
14 Lectures 01:14:52-
AWS CLI- Part-1
Preview00:08:38 -
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
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-
Cognito Mobile
11 Lectures 01:27:06-
What is Amazon Cognito?
Preview00:08:55 -
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
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-
AWS Developer tools
10 Lectures 01:07:07-
cloud9
Preview00:07:15 -
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
Preview00:07:24 -
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
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-
Amazon Rekognition
17 Lectures 00:51:30-
Amazon Rekognition
Preview00:06:12 -
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
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-
Amazon Transcribe and Translate
6 Lectures 00:32:55-
Amazon Transcribe
Preview00:06:12 -
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
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-
Game, AR and VR Development
4 Lectures 00:32:41-
Gamelift
Preview00:09:23 -
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
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-
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
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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