Запись [AI Sciences Team] AWS Fundamentals: Mastering Cloud Computing from Scratch

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[AI Sciences Team] AWS Fundamentals: Mastering Cloud Computing from Scratch
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[Udemy] AWS Fundamentals: Mastering Cloud Computing from Scratch (AI Sciences Team)
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
Requirements
- No prior Experience with AWS is required, but a Basic understanding of Python will be helpful.
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 VPC’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:
- Aspiring Data Engineers
- Developers Interested in Cloud
- Business Concerns who want to start suing Cloud
Спойлер: Содержание складчины
1 Introduction
01 Introduction to AWS.mp4 [33m 919k 967]
02 Introduction to AI.mp4 [64m 972k 652]
03 Introduction to Course.mp4 [97m 537k 189]
04 What is AWS.mp4 [104m 958k 185]
05 Your Honest Review.mp4 [30m 480k 247]
06 Links for the Course's Materials and Codes.html [433]
2 Introduction to AWS
07 Links for the Course's Materials and Codes.html [433]
08 Creating AWS Account.mp4 [40m 664k 355]
09 Exploring AWS Management Console.mp4 [36m 481k 428]
10 Overview of AWS Services.mp4 [39m 835k 143]
11 AWS Services.mp4 [57m 649k 495]
12 IAM Policy Overview.mp4 [13m 679k 31]
13 IAM Demo.mp4 [70m 305k 14]
14 What does IAM stand for in the Context of Computer Security.html [166]
15 Which of the following is a Primary Goal of IAM.html [166]
16 Which of the following Best Describes the Concept of identity in IAM.html [166]
17 What is the main Purpose of Access Management in IAM.html [166]
3 Compute and Storage Services
18 Links for the Course's Materials and Codes.html [433]
19 Simple Storage Service.mp4 [40m 794k 810]
20 S3 Versioning.mp4 [43m 306k 138]
21 S3 Lifecyle.mp4 [30m 713k 620]
22 S3 Event Triggers.mp4 [56m 212k 718]
23 Introduction to AWS Lambda.mp4 [40m 803k 213]
24.1 Parsing Event in Lambda.mp4 [54m 34k 840]
24.2 Sales_data.csv [75]
25 Lambda Layer Introduction.mp4 [10m 390k 208]
26 Creating Lambda Layer.mp4 [38m 942k 965]
27 How to add Layer.mp4 [24m 215k 118]
28 AWS Glue.mp4 [12m 244k 419]
29 AWS Glue Job.mp4 [53m 402k 277]
30 Glue Crawler.mp4 [36m 992k 960]
31 What is the Primary Purpose of AWS Lambda Layers.html [166]
32 What is the Primary Purpose of AWS Glue Crawler.html [166]
33 In AWS Glue, what Does ETL stand for.html [166]
34 What is the Primary Function of an AWS Glue Job.html [166]
35 In Amazon S3, what is the Purpose of a Lifecycle Policy.html [166]
36 Which of the following is an Example of an Amazon S3 Event that can Trigger AWS Lambda Functions.html [166]
37 What is the Primary Benefit of Enabling Versioning for an Amazon S3 Bucket.html [166]
4 Infrastructure as Code and Automation
38 Links for the Course's Materials and Codes.html [433]
39 Introduction to Cloudformation.mp4 [28m 956k 692]
40.1 Creating S3 Bucket using Cloudformation.mp4 [15m 906k 535]
40.2 s3cloudformation.txt [439]
41 AWS CLI.mp4 [57m 985k 130]
5 Network and database
42 Links for the Course's Materials and Codes.html [433]
43 Introduction to Virtual Private Cloud.mp4 [60m 926k 80]
44 Creating Virtual Private Cloud using Console.mp4 [55m 934k 788]
45 AWS Relational Database Service.mp4 [14m 530k 966]
46 Creating RDS Database using Console.mp4 [72m 823k 750]
47 Accessing RDS Instance using Glue.mp4 [61m 799k 613]
48 Introduction to AWS Redshift.mp4 [15m 101k 229]
49 Creating Redshift Cluster in Console.mp4 [50m 646k 463]
50 Dynamodb.mp4 [10m 170k 826]
51 Creating and Accessing Dynamodb Table.mp4 [29m 761k 867]
52 What does VPC Stand for in AWS.html [166]
53 In AWS, what is the Primary Purpose of a VPC.html [166]
54 What does RDS stand for in Amazon RDS.html [166]
55 What type of NoSQL Database Service is Amazon DynamoDB.html [166]
56 What is the Primary Use Case for Amazon Redshift.html [166]
6 Additional Services
57 Links for the Course's Materials and Codes.html [433]
58 Introduction to AWS Security and Simple Queue Service.mp4 [30m 812k 869]
59 Accessing Secret Manager and Key Management Service using Console.mp4 [17m 759k 358]
60 Creating a Queue in Simple Queue Service.mp4 [44m 102k 124]
61 Introduction to Simple Notification Service.mp4 [10m 650k 966]
62 Creating and Sending Email using Simple Notification Service.mp4 [28m 973k 652]
7 Hands On Exercise
63 Links for the Course's Materials and Codes.html [433]
64 Problem Statement.mp4 [52m 105k 25]
65 Proposed Solution.mp4 [9m 870k 869]
66 Exploring the Lambda Function.mp4 [177m 292k 600]
67 Testing the Pipeline.mp4 [75m 875k 809]
68 Analyze the Data
using Athena.mp4 [109m 732k 829]
Объем: 1.92Гб.
Материал на английском языке
 
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