AWS Course Syllabus and Subjects | Updated 2025

AWS Course Syllabus and Subjects: A Comprehensive Guide to Mastering Cloud Computing Article

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Chanthini (AWS Solution Architect )

Chanthini is an AWS Solutions Architect with expertise in cloud computing, specializing in scalable, secure, and cost-efficient AWS solutions. He helps businesses design and implement cloud strategies that drive innovation and efficiency. With a focus on cloud migration and DevOps practices, Tamil simplifies complex cloud concepts for organizations. He is passionate about staying current with AWS advancements and sharing his insights with the tech community.

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Amazon Web Services, or AWS, is one of the market leaders in AWS Training. The provider offers all kinds of services to companies that help in scaling and managing infrastructure; hence, the a growing demand for AWS training as more businesses move towards the cloud. With many organizations adopting cloud-based technology and embracing the digital era, there is a gap in skills training in efficiently managing cloud environments. This blog looks at the syllabus and topics that generally appear in an AWS course to give you an insight into the content and the skills you will achieve while in training. This video will walk you through the essential study areas if you want to start a career in cloud computing or expand your knowledge.


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Introduction to AWS and Cloud Computing

Before delving into the details of the AWS course syllabus, one needs to understand what AWS is and why it forms an integral part of modern cloud computing. An extensive and extensively used cloud platform, AWS is a division of Amazon that delivers platform, software, and infrastructure services to companies of all kinds. With AWS, companies can rent storage, processing power, and other services online, eliminating the need for on-premise infrastructure and providing flexibility, scalability, and affordability. As more companies move to the cloud, the ability to learn AWS becomes a valuable skill for IT professionals, developers, and engineers. An Complete Microsoft Azure Course typically starts with an introduction to cloud computing concepts, including cloud models (public, private, and hybrid), the benefits of cloud adoption, and the shared responsibility model. Understanding these foundational topics is important to understanding how AWS fits into the cloud ecosystem.

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    Core AWS Services Covered in the Course

    AWS offers a wide range of services that form the basis of cloud computing. A syllabus of an AWS course covers in detail the core services that are at the heart of cloud architecture and operations.

    • Computer Services (EC2, Lambda) Computer services are a major part of AWS training, and the two major services covered are Amazon EC2 (Elastic Compute Cloud) and AWS Lambda. Amazon EC2 is a very widely used service that enables the provisioning and management of virtual servers. An AWS course teaches the launching, configuration, and scaling of EC2 instances for any use case.


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    • Storage Services (S3, EBS) AWS offers many options for storing resources. Two of the most important services are Amazon S3 and Amazon EBS. Amazon S3: S3 is used for scalable, durable, and low-latency object storage. The syllabus covers how to create buckets, manage object lifecycles, and use features like versioning encryption, and access control.
    • Amazon EBS: EBS delivers persistent block storage that could be attached to EC2 instances. In the Course, you will learn more about different EBS volume types, snapshots, and how to ensure high availability and performance.
    • AWS Lambda: Lambda is a serverless computing Top AWS Services. It enables running code without provisioning or managing servers. You will learn how to set up Lambda functions to execute in response to various events, such as file uploads or HTTP requests.
    • Networking and Content Delivery (VPC, Cloud Front) AWS networking and content delivery services help to manage network infrastructure and deliver content quickly worldwide. Amazon VPC (Virtual Private Cloud): VPC lets you create isolated networks within AWS. You will learn how to configure subnets, route tables, security groups, and VPN connections to create a secure network environment.
    • Amazon Cloud Front: CloudFront is AWS’s content delivery network (CDN). You will learn how to distribute static and dynamic content, reduce latency, and improve the performance of your applications.
    • Security and Identity Management (IAM, KMS) Security is one of the primary concerns in cloud computing. AWS provides very robust services for identity management and encryption, including IAM (Identity and Access Management) and KMS (Key Management Service). IAM: IAM helps you control access to AWS resources. You will learn how to create and manage users, groups, and roles and set up policies to define access permissions.
    • AWS KMS: (IAM, KMS) KMS is used for encryption key management. You will learn how to use KMS to encrypt data at rest and in transit so that your cloud resources are secure.

    AWS Architecture and Infrastructure Design

    Designing cloud architectures is an important skill that AWS training profoundly provides. AWS provides many tools to help design highly available, scalable, and fault-tolerant systems.

    One of AWS’s important advantages is its ability to offer high availability and scalability. AWS Training teaches how to design systems that are fault-tolerant and scalable based on demand. This includes configuring Elastic Load Balancing (ELB) and designing multi-AZ architectures. To provide a seamless user experience, ELB divides incoming application traffic among several targets (EC2 instances, containers, etc.). This section will cover load balancer configuration and effective traffic routing. Auto Scaling allows your AWS environment to automatically adjust the number of EC2 instances based on changing traffic loads. This guide will teach you how to set up Auto Scaling groups, define scaling policies, and choose the proper EC2 instance types to meet your workload needs.

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    AWS Management Tools and Monitoring

    Effective management and monitoring of your AWS environment lead to security and performance. Some management tools help you track and optimize your resources in AWS.

    • AWS Cloud Watch You will learn how to set alarms, track performance metrics, and visualize data within Cloud Watch dashboards, which monitor AWS resources and Applications of Cloud Computing in real-time
    • AWS Cloud Trail Cloud Trail is a service that records all API calls made within your AWS account. You’ll learn how to use Cloud Trail for auditing, security analysis, and compliance monitoring.
    • AWS Config and Trusted Advisor AWS Config helps track and monitor resource configurations. You will learn how to apply AWS Config to achieve compliance with organization policies. AWS Trusted Advisor provides best practice recommendations on how to optimize your AWS infrastructure; you will learn how to use this.
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    AWS Database Services

    AWS offers many managed database services to help meet the demands of the different applications, from transaction systems to Understanding the Cloud Native Applications.

    Amazon Relational Database Service (RDS) is a fully managed relational database service supporting several database engines (e.g., MySQL, PostgreSQL, SQL Server). The syllabus will cover how to create, configure, and scale RDS instances, manage backups, and ensure high availability.NoSQL with DynamoDB is AWS’s fully managed NoSQL database service. You will learn how to set up and configure DynamoDB tables, create indexes, and manage throughput for high-performance applications.AWS Redshift is a managed data warehouse service. In the Course, you learn how to set up data warehouses and do big data analytics.Amazon Aurora is a relational database engine compatible with MySQL and PostgreSQL. You will learn how to use Aurora’s high performance and scalability for mission-critical applications.

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    Advanced AWS Topics and Real-world Applications

    As you move forward in the Course, you will find more advanced topics, including machine learning, server less computing, and infrastructure as code (IaC).

    • Machine Learning with AWSAWS offers machine learning services such as Sage Maker, Recognition, and Comprehend. The Cloud Computing Course Syllabus may include hands-on experience with building and deploying machine learning models, image recognition, and natural language processing.
    • Server less Computing with AWSServer less architectures enable developers to build applications in ways that do not care about the underlying infrastructure. I will teach you how to develop server less applications using AWS Lambda, API Gateway, and more related services.
    • Infrastructure as Code (IaC)SIaC tools, such as AWS CloudFormation, enable users to define and provision AWS infrastructure using code. In this chapter, we will learn how to automate infrastructure provisioning, manage configurations, and deploy different projects.
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      Conclusion

      The curriculum for AWS courses covers a wide range of subjects and gives students the tools they need to create, maintain, and optimize cloud infrastructure. AWS courses can offer a thorough route to learning the skills that cloud professionals desire, from fundamental services like EC2 and S3 to more complex ones like serverless computing and machine learning. The time to become proficient with AWS has never been greater, as more and more businesses use this platform for their cloud computing requirements. AWS Trainingoffers a strong basis for establishing a prosperous career in cloud computing, regardless of your level of experience or desire to improve your cloud skills.

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