AWS Fundamentals: Mastering Cloud Computing from Scratch

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AI Sciences,AI Sciences Team

3:53:59

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1. Introduction

1. Introduction to AWS.mp4

03:59

2. Introduction to AI.mp4

02:56

3. Introduction to Course.mp4

04:14

4. What is AWS.mp4

04:38

5. Your Honest Review.mp4

01:18

6. Links for the Courses Materials and Codes.html

2. Introduction to AWS

1. Links for the Courses Materials and Codes.html

2. Creating AWS Account.mp4

05:14

3. Exploring AWS Management Console.mp4

04:55

4. Overview of AWS Services.mp4

04:00

5. AWS Services.mp4

09:18

6. IAM Policy Overview.mp4

02:51

7. IAM Demo.mp4

08:07

8. What does IAM stand for in the Context of Computer Security.html

9. Which of the following is a Primary Goal of IAM.html

10. Which of the following Best Describes the Concept of identity in IAM.html

11. What is the main Purpose of Access Management in IAM.html

3. Compute and Storage Services

1. Links for the Courses Materials and Codes.html

2. Simple Storage Service.mp4

06:18

3. S3 Versioning.mp4

05:42

4. S3 Lifecyle.mp4

04:08

5. S3 Event Triggers.mp4

07:51

6. Introduction to AWS Lambda.mp4

06:27

7.1 Sales data.csv

7. Parsing Event in Lambda.mp4

06:38

8. Lambda Layer Introduction.mp4

01:59

9. Creating Lambda Layer.mp4

05:31

10. How to add Layer.mp4

03:03

11. AWS Glue.mp4

02:37

12. AWS Glue Job.mp4

05:26

13. Glue Crawler.mp4

04:07

14. What is the Primary Purpose of AWS Lambda Layers.html

15. What is the Primary Purpose of AWS Glue Crawler.html

16. In AWS Glue, what Does ETL stand for.html

17. What is the Primary Function of an AWS Glue Job.html

18. In Amazon S3, what is the Purpose of a Lifecycle Policy.html

19. Which of the following is an Example of an Amazon S3 Event that can Trigger AWS Lambda Functions.html

20. What is the Primary Benefit of Enabling Versioning for an Amazon S3 Bucket.html

4. Infrastructure as Code and Automation

1. Links for the Courses Materials and Codes.html

2. Introduction to Cloudformation.mp4

03:09

3.1 s3cloudformation.txt

3. Creating S3 Bucket using Cloudformation.mp4

02:05

4. AWS CLI.mp4

06:03

5. Network and database

1. Links for the Courses Materials and Codes.html

2. Introduction to Virtual Private Cloud.mp4

06:54

3. Creating Virtual Private Cloud using Console.mp4

07:06

4. AWS Relational Database Service.mp4

02:48

5. Creating RDS Database using Console.mp4

07:11

6. Accessing RDS Instance using Glue.mp4

07:04

7. Introduction to AWS Redshift.mp4

02:47

8. Creating Redshift Cluster in Console.mp4

05:16

9. Dynamodb.mp4

01:57

10. Creating and Accessing Dynamodb Table.mp4

03:42

11. What does VPC Stand for in AWS.html

12. In AWS, what is the Primary Purpose of a VPC.html

13. What does RDS stand for in Amazon RDS.html

14. What type of NoSQL Database Service is Amazon DynamoDB.html

15. What is the Primary Use Case for Amazon Redshift.html

6. Additional Services

1. Links for the Courses Materials and Codes.html

2. Introduction to AWS Security and Simple Queue Service.mp4

05:15

3. Accessing Secret Manager and Key Management Service using Console.mp4

02:47

4. Creating a Queue in Simple Queue Service.mp4

06:31

5. Introduction to Simple Notification Service.mp4

02:35

6. Creating and Sending Email using Simple Notification Service.mp4

03:47

7. Hands On Exercise

1. Links for the Courses Materials and Codes.html

2. Problem Statement.mp4

05:51

3. Proposed Solution.mp4

02:09

4. Exploring the Lambda Function.mp4

19:17

5. Testing the Pipeline.mp4

07:48

6. Analyze the Data using Athena.mp4

10:40

Description

AWS Fundamentals: A Beginner's Guide to Amazon Web Services (AWS) Core Services like with EC2, S3, RDS and Beyond- AWS

What You'll Learn?

• A Solid Grasp of AWS Basics
• Hands-on Experience in Deploying and using Multiple AWS Services
• Exposure with Transformation and Analysis of Data using Cloud
• Utilisation of AWS Free Tier Account

Who is this for?

• Aspiring Data Engineers

• Developers Interested in Cloud

• Business Concerns who want to start suing Cloud

What You Need to Know?

No prior Experience with AWS is required, but a Basic understanding of Python will be helpful.

More details

Description
Course Description:
Welcome to the world of Cloud Computing with AWS! In this course, you'll embark on a journey through the essentials of one of the most powerful and widely used cloud computing platforms. Whether you're an aspiring data engineer, a developer, or a business person, this course will equip you with the knowledge and skills to kick-start your journey with AWS.
Module 1: Course Overview In this module, we'll lay the foundation for your learning journey by providing you with an overview of the course and what you can expect to achieve by the end of it. You'll be introduced to the structure of the course, the topics covered in each module, and the learning outcomes.
Module 2: Introduction to AWS This module will prepare you with the toolkit that is necessary to start learning AWS. We will start with creating a free tier account on AWS cloud, and understand the UI and management console. Get familiarized with all the services that we are going to learn in detail and learn to manage access to the AWS account if the account needs to be shared between multiple with different roles
Module 3: Compute and Storage Services Get ready to dive into hands-on implementation! In this module, we will start with learning the storage service of AWS and then will create our own storage bucket and play with all the properties. We will then study serverless compute lambda and how to integrate our lambda function with our storage service.
Later glue will help us to create the metadata from the data that is present in the s3 bucket using crawler, perform different types of transformations using glue jobs, and query the data using Athena.
Module 4: Infrastructure as Code and Automation Take your skills to the next level as we delve into the creation of our AWS resources and access them using templates and some bash commands.
Module 5: Networking and Database Services We are now capable enough to start learning databases and access them using AWS services. We will start with learning AWS Networking and then we will create and learn RDS and Redshift databases using the VPCâ€™s and subnets. We will later explore AWS DynamoDB for no-SQL databases.
Module 6: Advanced Topics and Additional Resources We will finally learn a few small but important services that are very important to deploy your cloud solutions. We will learn AWS security using IAM and Encryption and then later explore integration services like SQS and SNS
Module 7: Hands-on Exercise This module will be testing our learning with a practical example. We will learn to deploy a complete solution using multiple services of AWS.

Who Should Enroll:
Aspiring Data Engineers
Developers Interested in Cloud
Business Concerns who want to start using Cloud

Prerequisites: No prior experience with AWS is required, but a basic understanding of Python will be helpful.

What You'll Gain:
A Solid Grasp of AWS Basics
Hands-on Experience in deploying and using multiple AWS services
Exposure to transformation and analysis of Data using cloud

Who this course is for:
â€¢ Aspiring Data Engineers
â€¢ Developers Interested in Cloud
â€¢ Business Concerns who want to start suing Cloud

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We are a group of experts, PhDs and Practitioners of Artificial Intelligence, Computer Science, Machine Learning, and Statistics. Some of us work in big companies like Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.We decided to produce a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of Machine Learning, Statistics, Artificial Intelligence, and Data Science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory and without a long reading. Today we also publish a more complete course on some topics for a wider audience.Our courses have had phenomenal success. Our Courses have helped more than 100,000 students to master AI and Data Science.

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