AWS BUNDLE 2023- Master COMPLETE Amazon Web Services AWS
Focused View
Pranjal Srivastava,Harshit Srivastava
20:25:53
44 View
1 - AWS Introduction.mp4
07:22
2 - Create an account.mp4
07:03
3 - What is EC2 How to create EC2 instance.mp4
07:59
4 - Connecting Amazon EC2 instance from Windows using PUTTY.mp4
02:53
5 - Creating simple web application and deploying them using AWS EC2.mp4
02:58
6 - Deploying sample web application with the help of elastic beanstalk.mp4
08:10
7 - Deploying python web application with the help of elastic beanstalk.mp4
05:24
8 - Launch a Virtual Machine.mp4
06:35
9 - Register a Domain.mp4
02:38
10 - Create Backend for Mobile App.mp4
04:20
11 - Connect an IoT device.mp4
01:25
12 - Build using Virtual Server.mp4
01:42
13 - Start Development Project.mp4
05:21
14 - Deploy Serverless Microservice.mp4
04:54
15 - Build a Web app.mp4
08:55
16 - Building docker image locally.mp4
04:35
17 - Public Repository.mp4
07:55
18 - Private Repository.mp4
03:46
19 - Creating cluster for AWS Fargate.mp4
04:23
20 - Creating task for AWS Fargate.mp4
04:22
21 - Running the tasks for the first time.mp4
01:50
22 - Accessing the application and creating more similar tasks.mp4
05:17
23 - Creating cluster for AWS ECS with EC2.mp4
04:55
24 - Defining Task.mp4
03:20
25 - Running Task.mp4
03:26
26 - Creating and Running Services.mp4
06:17
27 - Installing eksctl.mp4
02:55
28 - Creating Cloudformation stack.mp4
04:25
29 - Starting up minikube cluster.mp4
02:26
30 - Creating Pod with ECR image.mp4
07:47
31 - Creating Replicaset and Scaling UPDOWN.mp4
06:11
32 - Configuring Kubernetes cluster.mp4
03:14
33 - Creating Deployment and Service.mp4
05:02
34 - Accessing application.mp4
04:27
35 - AWS EC2.mp4
10:36
36 - AWS VPC.mp4
05:28
37 - VPC.mp4
01:33
38 - AWS EC2 container.mp4
04:04
39 - AWS Beanstalk.mp4
04:51
40 - PRACTICAL Beanstalk.mp4
03:43
41 - AWS Lambda.mp4
13:15
42 - AWS Lightsail.mp4
05:02
43 - Aws Analytics EMR.mp4
08:49
44 - Aws Analytics Kinesis.mp4
08:03
45 - PRACTICAL EKS.mp4
01:17
46 - PRACTICAL ECS.mp4
04:16
47 - PRACTICAL Batch.mp4
02:32
48 - Aws Database intro.mp4
05:44
49 - Aws Database DynamoDB.mp4
06:31
50 - Create a Table in DynamoDB.mp4
06:12
51 - Add rows and columns using form and Json in Dynamodb.mp4
06:47
52 - Scan and Query with Filter table.mp4
04:04
53 - Aws Database Elasticache.mp4
11:32
54 - Aws Database RDS.mp4
03:03
55 - Create RDS database.mp4
06:33
56 - Aws Database Redshift.mp4
09:32
57 - Aws Storage EBS.mp4
04:39
58 - Aws Storage EFS.mp4
03:51
59 - Aws Storage Gateway.mp4
03:37
60 - Aws Storage Glacier.mp4
03:52
61 - Aws Storage S3.mp4
05:56
62 - Getting Started with Quicksight.mp4
05:50
63 - Importing dataset and understanding group and values.mp4
03:53
64 - Creating Treemap and Customizing charts.mp4
04:59
65 - Data Preparation Editing Dataset before creating Charts.mp4
06:06
66 - Create a Calculated Field using Functions ceil and concat.mp4
05:44
67 - More calculated fields.mp4
03:18
68 - Creating Filters and Excluded list.mp4
06:20
69 - Map Chart and Conditional Formatting.mp4
06:37
70 - Pivot table.mp4
05:46
71 - Creating first code commit repository.mp4
05:25
72 - Creating new branch and pushing content into it.mp4
03:44
73 - Code Build 1.mp4
09:04
74 - Code Build 2.mp4
05:54
75 - Code Build 3.mp4
06:31
76 - Creating Source Build and Deploy stage in AWS Code Pipeline Part 1.mp4
07:50
77 - Creating Source Build and Deploy stage in AWS Code Pipeline Part 2.mp4
04:59
78 - Cloud 9.mp4
04:01
79 - Running flask application in Cloud 9.mp4
04:19
80 - Deleting Cloud 9 environment.mp4
06:10
81 - AWS CLI Part1.mp4
08:38
82 - AWS CLI Part2.mp4
05:41
83 - How lambda works internally.mp4
06:16
84 - Handler Function.mp4
03:39
85 - Event Object.mp4
05:48
86 - Context Object.mp4
06:37
87 - Callback object.mp4
05:48
88 - Working with Logs.mp4
07:16
89 - Creating Lambda function with ZIP files.mp4
03:43
90 - Creating a Lambda function.mp4
03:47
91 - Connecting with API Gateway as Trigger.mp4
06:21
92 - Passing Information through API Gateway.mp4
04:59
93 - Writing data to DynamoDB.mp4
03:46
94 - Reading data from DynamoDB.mp4
02:34
95 - Create a Redshift Cluster.mp4
07:13
96 - Redshift Query Editor and JDBC odbc connection.mp4
07:00
97 - Cluster Properties and Actions.mp4
06:51
98 - Setting up cloudwatch alarms.mp4
02:18
99 - Execute SQL queries on Redshift.mp4
07:53
100 - Save and Schedule SQL queries.mp4
04:19
101 - Database connections with new tab in Query editor.mp4
03:24
102 - What is Amazon Cognito.mp4
08:55
103 - Amazon Cognito optional reading.html
104 - Cognito Indepth.mp4
21:13
105 - Cognito Practical.mp4
05:50
106 - Mobile Hub.mp4
11:44
107 - Mobile Hub demo.mp4
04:23
108 - AppSync.mp4
07:38
109 - Mobile AppSync demo.mp4
02:47
110 - DeviceFarm.mp4
07:29
111 - Mobile DeviceFarm demo.mp4
02:24
112 - Mobile Analytics.mp4
12:09
113 - Mobile Analytics demo.mp4
02:34
114 - Overview Deep composer.mp4
03:45
115 - Getting started with Music Studio.mp4
04:53
116 - Using GAN to generate other instruments.mp4
05:58
117 - cloud9.mp4
04:43
118 - cloud9 practical.mp4
04:43
119 - codeBuild.mp4
05:03
120 - CodeBuild practical.mp4
05:03
121 - CodeCommit.mp4
05:46
123 - CodePipeline.mp4
07:06
124 - CodePipeline practical.mp4
07:06
125 - codeStar.mp4
07:42
126 - CodeStar practical.mp4
07:42
127 - Introduction.mp4
10:11
128 - Amazon Comprehend.mp4
07:24
129 - Getting Started Using AWS Comprehend Console.mp4
05:54
130 - PythonBoto3Comprehend 1.mp4
02:04
131 - PythonBoto3Comprehend 2.mp4
01:54
132 - PythonBoto3Comprehend 3.mp4
02:56
133 - Amazon Lex.mp4
08:05
134 - Amazon Lex2.mp4
07:06
135 - PracticalChatbot using Amazon Lex.mp4
11:54
136 - Amazon Polly.mp4
06:57
137 - PracticalAmazon Polly.mp4
09:56
138 - PythonBoto3Polly.mp4
02:31
139 - Amazon Rekognition.mp4
06:12
140 - Object and scene detectionOverview.mp4
03:33
141 - Object and scene detectionPractical.mp4
02:45
142 - PythonBoto3Detect Label.mp4
02:38
143 - Facial analysisOverview.mp4
03:31
144 - Facial analysisPractical.mp4
04:38
145 - PythonBoto3Detect Face.mp4
02:00
146 - Celebrity recognitionOverview.mp4
02:42
147 - Celebrity recognitionPractical.mp4
01:36
148 - PythonBoto3Celebrity Recognition.mp4
03:00
149 - Face comparisonOverview.mp4
02:39
150 - Face comparisonPractical.mp4
02:30
151 - PythonBoto3Face Comparison.mp4
02:13
152 - Text in imageOverview.mp4
03:18
153 - Text in imagePractical.mp4
01:18
154 - PythonBoto3Detect Text in Image.mp4
04:39
155 - Visual Analysis.mp4
02:18
156 - Amazon Transcribe.mp4
06:12
157 - PracticalAmazon Transcribe.mp4
10:11
158 - Amazon Translate.mp4
04:12
159 - PracticalAmazon Translate.mp4
03:22
160 - PythonBoto3Translate.mp4
02:09
161 - PythonBoto3Transcribe.mp4
06:49
162 - Amazon SageMaker.mp4
08:03
163 - AWS DeepLens.mp4
05:37
164 - ML 1 Prepare Your Data.mp4
02:02
165 - ML 2Create a Training Datasource.mp4
04:27
166 - ML 3Create an ML Model.mp4
00:54
167 - ML 4Use the ML Model to Generate Predictions.mp4
12:28
168 - ML 5Clean Up.mp4
03:38
169 - GameLift.mp4
09:23
170 - PRA Gamelift.mp4
05:49
171 - Sumerian.mp4
09:51
172 - PRA Sumerian.mp4
07:38
173 - Migration Hub.mp4
08:45
174 - Migration Hub PRACTICAL.mp4
03:38
175 - Snowball.mp4
08:56
176 - Snowball PRACTICAL.mp4
02:57
177 - Amazon MQ.mp4
05:29
178 - PRACTICAL Amazon MQ.mp4
04:06
179 - SNS.mp4
08:47
180 - PRACTICAL SNS.mp4
04:28
181 - SQS.mp4
06:57
182 - PRACTICAL SQS.mp4
03:23
183 - Step Functions.mp4
06:37
184 - PRACTICAL Step functions.mp4
05:38
185 - SWS.mp4
05:16
186 - PRACTICAL SWS.mp4
02:05
187 - Introduction.mp4
04:14
188 - Athena.mp4
05:54
189 - Project Athena Part 1.mp4
09:41
190 - Project Athena Part 2.mp4
03:17
191 - Project Athena Part 3.mp4
05:07
192 - Project Athena Part 4.mp4
05:22
193 - CloudSearch.mp4
04:32
194 - PracticalCloudSearch Part 1.mp4
03:20
195 - PracticalCloudSearch Part 2.mp4
03:10
196 - PracticalCloudSearch Part 3.mp4
06:09
197 - ElasticSearch.mp4
06:58
198 - Quicksight.mp4
03:44
199 - Kinesis.mp4
12:49
200 - PracticalKinesis.mp4
13:08
201 - PracticalKinesispython boto3.mp4
08:14
202 - PRA Appstream.mp4
03:51
203 - PRA Workspaces.mp4
04:50
204 - VPC.mp4
01:33
205 - Create a VPC.mp4
05:30
206 - Create a Subnet.mp4
05:28
207 - Create and Attach Internet Gateway.mp4
03:40
208 - Create and manage Route Table.mp4
03:01
209 - Cost Management.mp4
02:47
210 - Artifact.mp4
08:00
211 - PRACTICAL Artifact.mp4
01:52
212 - Certificate Manager.mp4
09:04
213 - PRACTICAL Certificate Manager.mp4
04:31
214 - CloudHSM.mp4
07:06
215 - PRACTICAL Cloud HSM.mp4
01:19
216 - Directory Service.mp4
08:58
217 - PRACTICAL Directory Service.mp4
03:30
218 - GuardDuty.mp4
08:48
219 - PRACTICAL GuardDuty.mp4
00:58
220 - Inspector.mp4
06:12
221 - PRACTICAL Inspector.mp4
01:34
222 - Secrets Manager.mp4
05:07
223 - PRACTICAL Secrets Manager.mp4
03:41
224 - Single Sign on.mp4
06:22
225 - PRACTICAL Single SignOn.mp4
02:53
226 - WAF & Shield.mp4
08:11
227 - PRACTICAL WAF and Shield.mp4
04:01
228 - Cost Management.mp4
02:47
Description
Learn all AWS services like lambda, S3, EC2, VPC and AWS fundamental concepts. A Beginners guide for AWS certification.
What You'll Learn?
- 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
- You would learn about various Machine Leaning, DevOps, Security and other services
- You would also learn about Mobile, Analytics, Compute, Storage, Database and other cloud services
Who is this for?
More details
DescriptionIn this course, you would be learning a wide range of tools and services available on Amazon Web Services (also know as AWS for short). You will be learning all the available services under catalog, and things we can do with each service provided with platform and Infrastructure categories. This is a Bundle course, with very large learning content spanning more then 17 hours. So take time to learn and practice, and we are here to support you in your learning adventure on AWS. And if you dedicate your time in learning AWS skills and practice them accordingly, you could simply learn AWS in 30 days.
If you are preparing for any kind of AWSÂ Certifications, then you can take this course to build up your overall skills on wide range of tools and services in almost all the categories available on AWS. On completing this course, you would be very confident on your AWS cloud skills.
What is AWS?
AWS or Amazon Web Services is one of the leading cloud computing platform where you can use a wide array of cloud services to create and manage almost anything from database to machine learning models and much more.
You 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.
This course covers wide range of AWSÂ services including-
STORAGE Services-Â S3, Glacier, EBS, EFS, Storage Gateway
COMPUTE Services-Â EC2, Beanstalk, Lambda, Container, Lightsail, VPC
DATABASE Services-Â DynamoDB, Elasticache, RDS, Redshift
ANALYTICS Services-Â Kinesis, Elastic Map Reduce, Athena, Cloudsearch, Quicksight
MOBILE Services-Â Mobile Hub, AppSync, Device Farm, Pinpoint
ACCESS MANAGEMENT- IAM, Cognito, Cloud Watch
AWS DEVELOPER TOOLS- Cloud9, Code Build, Code Commit, Code Pipeline, Code Star
MACHINE LEARNING- Amazon Comprehend, Lex, Polly, Amazon Rekognition, Transcribe and Translate, Sagemaker
GAME, Augmented Reality and Virtual Reality- Gamelift, Sumerian
MIGRATION Services- Migration Hub, Snowball
APPLICATION INTEGRATION- Amazon MQ, Simple Notification Service, Simple Queue Service, Step Function, SWS
SECURITY Services- Artifact, Certificate Manager, Cloud HSM, Directory Service, Guard Duty, Inspector, Secrets Manager, Single Sign on, WAF and Shield.
Who this course is for:
- Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services.
In this course, you would be learning a wide range of tools and services available on Amazon Web Services (also know as AWS for short). You will be learning all the available services under catalog, and things we can do with each service provided with platform and Infrastructure categories. This is a Bundle course, with very large learning content spanning more then 17 hours. So take time to learn and practice, and we are here to support you in your learning adventure on AWS. And if you dedicate your time in learning AWS skills and practice them accordingly, you could simply learn AWS in 30 days.
If you are preparing for any kind of AWSÂ Certifications, then you can take this course to build up your overall skills on wide range of tools and services in almost all the categories available on AWS. On completing this course, you would be very confident on your AWS cloud skills.
What is AWS?
AWS or Amazon Web Services is one of the leading cloud computing platform where you can use a wide array of cloud services to create and manage almost anything from database to machine learning models and much more.
You 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.
This course covers wide range of AWSÂ services including-
STORAGE Services-Â S3, Glacier, EBS, EFS, Storage Gateway
COMPUTE Services-Â EC2, Beanstalk, Lambda, Container, Lightsail, VPC
DATABASE Services-Â DynamoDB, Elasticache, RDS, Redshift
ANALYTICS Services-Â Kinesis, Elastic Map Reduce, Athena, Cloudsearch, Quicksight
MOBILE Services-Â Mobile Hub, AppSync, Device Farm, Pinpoint
ACCESS MANAGEMENT- IAM, Cognito, Cloud Watch
AWS DEVELOPER TOOLS- Cloud9, Code Build, Code Commit, Code Pipeline, Code Star
MACHINE LEARNING- Amazon Comprehend, Lex, Polly, Amazon Rekognition, Transcribe and Translate, Sagemaker
GAME, Augmented Reality and Virtual Reality- Gamelift, Sumerian
MIGRATION Services- Migration Hub, Snowball
APPLICATION INTEGRATION- Amazon MQ, Simple Notification Service, Simple Queue Service, Step Function, SWS
SECURITY Services- Artifact, Certificate Manager, Cloud HSM, Directory Service, Guard Duty, Inspector, Secrets Manager, Single Sign on, WAF and Shield.
Who this course is for:
- Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services.
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Pranjal Srivastava
Instructor's CoursesI am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.I have authored 73 courses with over 102,000 students worldwide across 175+ countries on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
Harshit Srivastava
Instructor's CoursesI am Self-Taught developer who had worked on various platforms using varied languages, and involved in various Projects both Open Source and Proprietary.I have developed Web and Android Applications, chrome Extension, worked on various frameworks, fixed bugs for some projects, and explored numerous others. I think education and learning should be free and open, not be bound with restrictions like attending classes or going to college, People from all age groups, gender, faith, race, nations, etc must get equal privilege. When entire world would act this way like being a single FAMILY, we would truly realize VALUE of Knowledge and Human Life.Currently I am teaching more than 144,000 students from 189 countries across the world.
Udemy
View courses UdemyStudents take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
- language english
- Training sessions 226
- duration 20:25:53
- Release Date 2023/04/25
