AWS (Amazon Web Services)

Uplatz provides this end-to-end course on Amazon Web Services (AWS). It is a self-paced course with recorded video lectures. You will be awarded Course Completion Certificate at the end of the course.

What is AWS?

Amazon Web Services (AWS) is a cloud computing platform offered by Amazon. It provides a vast and diverse collection of cloud-based services, essentially renting out computing power, storage, databases, and a plethora of other functionalities to individuals, businesses, and governments. This allows users to build and run applications and services in the cloud, eliminating the need for physical hardware and its associated maintenance costs.

AWS is a powerful, flexible, and cost-effective cloud platform that allows you to build and run a wide range of applications and services. It eliminates the need for on-premises infrastructure and empowers businesses of all sizes to innovate and grow.

How AWS works

AWS operates on a pay-as-you-go model. Instead of investing in expensive upfront infrastructure, users access and use services as needed and are billed accordingly. AWS uses a vast network of data centers worldwide. These data centers contain the physical hardware required to run your cloud-based applications and store your data.

A breakdown of how AWS works:

1. Sign-Up: You start by creating an AWS account, which provides access to the AWS Management Console – a web-based interface to manage your AWS services.
2. Choose Services: AWS offers a wide range of services. You select the specific ones required based on your needs, such as:
   
   • Compute: EC2 (Elastic Compute Cloud) for virtual servers.
   • Storage: S3 (Simple Storage Service) for scalable object storage.
   • Databases: RDS (Relational Database Service) for managed relational databases.
   • Networking: VPC (Virtual Private Cloud) for isolated network environments.
   • And many more: Analytics, machine learning, IoT, etc.
3. Configure and Deploy: Once services are chosen, you configure them based on your needs (e.g., size of the virtual server, database type). You then deploy your applications or data to the cloud using various tools provided.
4. Manage and Monitor: AWS offers tools to manage your resources, monitor performance, and ensure security.
5. Pay for Usage: You pay only for what you use, based on metrics like compute time, storage space, and data transfer.

Key Features of AWS

• Scalability & Elasticity: Resources can be easily scaled up or down as demand changes.
• High Availability & Fault Tolerance: AWS's infrastructure is designed to minimize downtime and ensure your applications are always accessible.
• Security: AWS offers robust security features to protect your data and applications.
• Global Reach: Data centers located worldwide allow you to serve customers globally and improve performance.
• Cost-Effectiveness: The pay-as-you-go model helps you avoid significant upfront costs and only pay for what you use.
• Wide Range of Services: AWS offers over 200 fully featured services, enabling you to build almost anything you can imagine in the cloud.
• Ease of Use: User-friendly tools like the Management Console and APIs make managing cloud resources relatively simple.

Reed Courses Certificate of Completion

Digital certificate - Included

Uplatz Certificate of Completion

Digital certificate - Included

• AWS Introduction 24:56

  • 1: Introduction and Account Creation Preview 05:38
  • 2: Cloud Computing 12:05
  • 3: Benefits of Cloud Computing 07:13

• Identity and Access Management (IAM) 2:00:35

  • 4: IAM (theory) 06:24
  • 5: IAM (practical) Preview 17:09
  • 6: Policy Inheritance (theory) 01:57
  • 7: Policy Inheritance (practical) 27:18
  • 8: Password Policy and Multi Factor Authentication 02:21
  • 9: AWS Access Keys 05:25
  • 10: Multi Factor Authentication and AWS command Line Interface 32:55
  • 11: IAM Roles, Reports, and Guidelines 14:56
  • 12: AWS CloudShell and Deleting Users from IAM 12:10

• Elastic Cloud Compute (EC2) 2:48:59

  • 13: Introduction to Elastic Cloud Compute (EC2) 20:36
  • 14: EC2 Instance Creation 32:49
  • 15: IAM Roles for EC2 Instances 03:27
  • 16: Security Groups 20:10
  • 17: SSH (Secure Shell) 33:45
  • 18: EC2 Instance Connect 58:12

• EC2 Storage 3:08:08

  • 19: Amazon Machine Images (AMIs) 37:27
  • 20: EC2 Instance Storage and Amazon EFS (Elastic File System) 47:13
  • 21: Amazon EBS (Elastic Block Storage) 51:49
  • 22: Amazon FSX 15:26
  • 23: Image Builder 36:13

• Elastic Load Balancer (ELB) and Auto Scaling Group (ASG) 1:47:59

  • 24: Elastic Load Balancer (ELB) 1:08:54
  • 25: Auto Scaling Group (ASG) 39:05

• Amazon S3 (Simple Storage Service) 1:52:04

  • 26: Amazon S3 (Simple Storage Service) - part 1 1:01:17
  • 27: Amazon S3 (Simple Storage Service) - part 2 50:47

• Database and Analytics 2:13:41

  • 28: Amazon RDS (Relational Database Service) 1:02:07
  • 29: Amazon DynamoDB 33:47
  • 30: Redshift and other Databases 37:47

• Containers and Serverless 1:30:39

  • 31: Containers and Serverless - part 1 1:01:33
  • 32: Containers and Serverless - part 2 29:06

• Deployment and Managing Servers 2:34:52

  • 33: AWS CloudFormation and AWS Elastic Beanstalk 1:06:28
  • 34: AWS Code Deploy 1:01:33
  • 35: AWS Systems Manager and AWS OpsWorks 26:51

• AWS Global Infrastructure 1:39:50

  • 36: AWS Global Infrastructure and Route 53 24:35
  • 37: AWS Route 53 (practical) 23:03
  • 38: CloudFront and S3 Transfer Acceleration 34:55
  • 39: Global Accelerator 17:17

• AWS Application Integration Services - SQS, SNS, MQ 35:16

  • 40: AWS Application Integration Services - SQS, SNS, MQ 35:16

• Cloud Monitoring Tools 31:35

  • 41: Cloud Monitoring Tools 31:35

• Amazon Virtual Private Cloud (VPC) 43:55

  • 42: Amazon Virtual Private Cloud (VPC) 43:55

• Security and Compliance 1:13:15

  • 43: Shared Responsibility Model and Encryption 41:00
  • 44: AWS Certificate Manager 32:15

• Machine Learning (ML) in AWS 31:32

  • 45: Machine Learning (ML) in AWS 31:32

• AWS Account Management, Billing, and Support 2:04:30

  • 46: AWS Organizations 25:52
  • 47: AWS Billing and Pricing 28:54
  • 48: AWS Savings Plan 21:54
  • 49: Cost Allocation Tag 17:27
  • 50: Billing Alarm 14:20
  • 51: Trusted Advisor and Plans 16:03

• Advanced Identity 12:54

  • 52: Advanced Identity 12:54

• AWS Disaster Recovery and other services 33:14

  • 53: AWS Disaster Recovery Services - part 1 15:34
  • 54: AWS Disaster Recovery Services - part 2 17:40

• AWS Architecting and Ecosystem 44:46

  • 55: AWS Architecting and Ecosystem - part 1 22:01
  • 56: AWS Architecting and Ecosystem - part 2 22:45

• Booklets and Interview Preparation 19:00

  • 57: AWS Booklet 06:00
  • 58: AWS Glossary 05:00
  • 59: AWS Interview Questions 08:00

AWS - Course Syllabus

Topic 1: Introduction to Cloud Computing and AWS

• Overview of cloud computing concepts

• Introduction to AWS and its services

• Understanding the AWS Global Infrastructure

• Setting up an AWS Free Tier account

Topic 2: AWS Compute Services

• Amazon EC2 (Elastic Compute Cloud)

• Launching and managing EC2 instances

• EC2 instance types, pricing, and purchasing options

• Auto Scaling and Elastic Load Balancing

Topic 3: AWS Storage Services

• Amazon S3 (Simple Storage Service)

• Amazon EBS (Elastic Block Store)

• Amazon Glacier

• Data transfer methods and costs

Topic 4: AWS Networking Services

• Amazon VPC (Virtual Private Cloud)

• Subnets, route tables, and security groups

• VPC peering and VPN connections

• AWS Direct Connect

Topic 5: AWS Database Services

• Amazon RDS (Relational Database Service)

• Amazon DynamoDB

• Amazon Redshift

• Database migration and replication

Topic 6: AWS Security and Identity Services

• Amazon IAM (Identity and Access Management)

• Security best practices in AWS

• AWS Key Management Service (KMS)

• Encryption options in AWS

Topic 7: AWS Monitoring and Management Services

• Amazon CloudWatch

• AWS CloudTrail

• AWS Config

• AWS Trusted Advisor

Topic 8: Deployment and Automation

• AWS CloudFormation

• AWS Elastic Beanstalk

• Infrastructure as Code (IaC) principles

• Continuous Integration and Continuous Deployment (CI/CD) pipelines with AWS tools

Topic 9: Serverless Computing with AWS

• AWS Lambda

• Amazon API Gateway

• AWS Step Functions

• Serverless application architecture patterns

Topic 10: Advanced AWS Topics

• AWS Advanced Networking

• AWS Machine Learning Services

• AWS Big Data Services (e.g., Amazon EMR, Amazon Kinesis)

• AWS IoT (Internet of Things) services

Topic 11: Cost Optimization and Billing

• Understanding AWS pricing models

• Cost management tools and best practices

• Optimizing AWS resources for cost efficiency

• Budgeting and monitoring AWS spending

1. IT Professionals

• System Administrators: Those managing on-premises infrastructure who want to transition to cloud-based solutions.

• Network Engineers: Professionals looking to design and manage cloud-based networks.

• DevOps Engineers: Individuals focused on automating and optimizing cloud infrastructure and deployments.

• Security Professionals: Those interested in cloud security, compliance, and identity management.

2. Developers

• Software Developers: Developers who want to build, deploy, and scale applications using AWS services.

• Cloud Architects: Professionals designing scalable, secure, and cost-effective cloud solutions.

• Mobile App Developers: Those building and deploying mobile apps with AWS backend services.

3. Data Professionals

• Data Engineers: Individuals working with big data, data lakes, and ETL pipelines on AWS.

• Data Scientists: Professionals analyzing data and building machine learning models using AWS tools like SageMaker.

• Database Administrators: Those managing and optimizing cloud-based databases (e.g., RDS, DynamoDB).

4. Business and Non-Technical Professionals

• Managers and Decision-Makers: Leaders who need to understand AWS to make informed decisions about cloud adoption.

• Startup Founders: Entrepreneurs looking to leverage AWS for cost-effective and scalable solutions.

• Project Managers: Professionals overseeing cloud migration or development projects.

5. Students and Career Switchers

• Students: Those pursuing degrees in computer science, IT, or related fields who want to gain cloud skills.

• Career Switchers: Individuals transitioning to IT or cloud computing roles and seeking certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer).

6. Enterprise Teams

• IT Teams: Organizations migrating to or optimizing their use of AWS.

• Operations Teams: Teams managing cloud infrastructure and ensuring cost efficiency.

7. Certification Seekers

• Individuals preparing for AWS certification exams to validate their skills and enhance their career prospects.

Passion and determination to succeed!

• Cloud Architect
• Solutions Architect
• DevOps Engineer
• AWS Cloud Architect
• Cloud Engineer
• AWS Platform Architect
• Platform Engineer
• Platform Architect
• Site Reliability Engineer
• SysOps Administrator
• Cloud Security Engineer
• Data Engineer
• Machine Learning Engineer
• Cloud Consultant
• Cloud Support Engineer
• Cloud Systems Administrator
• Software Engineer
• AI Engineer
• Data Scientist
• Data Engineer
• FinOps Analyst

Currently there are no Q&As for this course. Be the first to ask a question.