AWS (Amazon Web Services) Mastery: Essential Cloud Skills

Empower your career with comprehensive AWS training! Harness the full potential of AWS for scalable & secure solutions.

A warm welcome to the AWS (Amazon Web Services) course by Uplatz.

AWS stands for Amazon Web Services, which is a comprehensive and widely-used cloud computing platform provided by Amazon. It offers a wide range of services including computing power, storage solutions, networking, databases, machine learning, analytics, and more, all delivered over the internet.

Features of AWS

1. Infrastructure as a Service (IaaS): AWS provides virtual servers (EC2 instances), storage (S3), and networking resources (VPC) on which users can run their applications without worrying about the underlying hardware.

2. Platform as a Service (PaaS): AWS offers platforms and tools like AWS Lambda for serverless computing, AWS Elastic Beanstalk for deploying and managing applications, and AWS Elastic Container Service for container orchestration.

3. Software as a Service (SaaS): AWS provides various software solutions like Amazon RDS for managed databases, Amazon Redshift for data warehousing, Amazon SageMaker for machine learning, and many more.

4. Global Infrastructure: AWS operates in multiple regions across the globe, each with multiple availability zones, providing high availability and fault tolerance.

AWS offers a vast array of services catering to various needs of businesses and developers. Some of the important and widely-used services within AWS include:

1. Amazon EC2 (Elastic Compute Cloud): Provides resizable compute capacity in the cloud, allowing users to run virtual servers for various computing tasks.

2. Amazon S3 (Simple Storage Service): Offers scalable object storage for storing and retrieving data. It is highly durable, secure, and designed for 99.999999999% (11 nines) of durability.

3. Amazon RDS (Relational Database Service): A managed database service that makes it easy to set up, operate, and scale relational databases such as MySQL, PostgreSQL, SQL Server, and Oracle.

4. Amazon Lambda: A serverless compute service that lets you run code without provisioning or managing servers. It automatically scales and executes code in response to triggers without requiring manual intervention.

5. Amazon VPC (Virtual Private Cloud): Allows users to provision a logically isolated section of the AWS Cloud where they can launch AWS resources in a virtual network.

6. Amazon IAM (Identity and Access Management): Enables users to securely control access to AWS services and resources by creating and managing users, groups, and permissions.

7. Amazon SNS (Simple Notification Service): A fully managed messaging service for coordinating the delivery of messages to subscribing endpoints and clients.

8. Amazon SQS (Simple Queue Service): A fully managed message queuing service that enables decoupling and scaling of microservices, distributed systems, and serverless applications.

9. Amazon Route 53: A scalable and highly available Domain Name System (DNS) web service designed to route end users to internet applications.

10. Amazon ECS (Elastic Container Service): A highly scalable, high-performance container orchestration service that supports Docker containers and allows you to easily run and scale containerized applications on AWS.

11. Amazon DynamoDB: A fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.

12. Amazon CloudFront: A fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency.

These are just a few examples of the extensive range of services offered by AWS. Each service caters to different use cases and requirements, providing users with the flexibility and scalability needed to build and deploy various types of applications and infrastructure in the cloud.

AWS - Course Curriculum

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

Benefits of learning AWS include:

1. High Demand: AWS skills are in high demand in the job market as many organizations are migrating to the cloud or expanding their cloud infrastructure.

2. Scalability: AWS allows you to scale your resources up or down based on demand, which can help organizations save costs and improve performance.

3. Cost-effectiveness: AWS offers a pay-as-you-go pricing model, allowing organizations to pay only for the resources they use without any upfront costs.

4. Flexibility: AWS provides a wide range of services and tools, allowing users to choose the right services for their specific needs and customize their infrastructure as required.

5. Innovation: AWS is constantly adding new services and features, providing opportunities for learning and innovation in cloud computing.

6. Global Reach: With AWS, you can deploy your applications and services globally, reaching users all over the world with low latency.

Learning AWS can open up a wide range of career opportunities and provide valuable skills for working in the rapidly-growing field of cloud computing.