The 10 best AWS courses in 2026

By the end of this Kubernetes Training, learners will be able to identify Kubernetes components, explain cluster architecture, configure clusters on AWS, set up environments with Kubeadm, and apply troubleshooting techniques using Minikube. This course is designed to move beyond theory, providing hands-on demonstrations that empower learners to create, manage, and scale containerized applications in both cloud and local environments. Learners will benefit from completing this course by gaining practical, job-ready skills essential for DevOps engineers, cloud administrators, and software devel

So by the end of this course, you will learn to set up an online IDE. For this, you will use the AWS cloud9 environment. You will learn to configure the AWS cloud 9 environment, you will explore the IDE, you will write some python programs, you will learn to create files and folders manually and through the command line . You will also learn to power off the instance and learn to delete the environment as well. Before starting this project, you must have an AWS account.

AWS: Databases Course is the fourth course of Exam Prep DVA-C02: AWS Certified Developer Associate Specialization. This course assists learners in learning the core concepts of NoSQL, contrasting it with traditional SQL databases. It covers key aspects of DynamoDB, including compute capacity, read consistency, transactions, and streams. The course also explores other NoSQL options like Amazon MemoryDB for Redis, covering cluster setup, data loading, and its comparison with ElastiCache for Redis. Finally, it provides an overview of Amazon RDS, a managed relational database service. This cours

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course provides a hands-on guide to deploying intelligent AI agents using Amazon Bedrock, taking you from foundational knowledge to building advanced AI workflows. You'll begin by familiarizing yourself with AWS account setup, the basic concepts of Amazon Bedrock, and the essential features of the platform. The course guides you step by step through the process of

Linux is a popular operating system that is based on the Unix operating system. It has many distributions which have different interfaces for installing software, different user interfaces, and so on. One thing all of the ‘distros’ have in common is that they all have a command line interface, or terminal. In fact, sometimes there is no user interface except the terminal itself. A Linux server running a web application on AWS, for example, may only contain the software required to run the application, and no GUI ‘window’ system at all. It is crucial to learn the Linux command line if you are g

Building trustworthy AI requires more than accurate predictions—it requires confidence scores that genuinely reflect reality. In this short, hands-on course, you will learn how to evaluate and improve model calibration, apply temperature scaling to produce reliable confidence estimates, and deploy a scalable batch-inference pipeline using AWS Lambda. Through practical exercises, you will compute calibration metrics, visualize reliability diagrams, and integrate calibrated predictions into a serverless architecture that automatically processes incoming data and stores results for analytics. By

This is the fourth course of a four-course series for cloud architects and engineers with existing AWS knowledge. It compares Google Cloud and AWS solutions and guides professionals on their use. This course focuses on deploying and monitoring applications in Google Cloud. The learners apply the knowledge of monitoring and application deployment processes in AWS to explore the differences with Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.

Code and apply your first Terraform configuration without installing anything! This course is designed for learners with limited knowledge of cloud computing, providing a solid foundation of cloud infrastructure provisioning and management, using Terraform, an open-source IaaS (Infrastructure as a service) tool. The modules in this course cover Terraform's basic architecture and syntax, managing resources, and other related topics. A review of AWS EC2 instances is recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short

In this 1-hour long project-based course, you will learn about AWS S3 and its features like Encryption, Versioning, Static Website Hosting and Life cycle management. S3 stands for Simple Storage Service, it is a object-based storage service which AWS provides. S3 can also be used to host a static website. By the end of this project you will create S3 bucket and will be able upload content to the bucket. You will also enable Encryption, Versioning for S3 Bucket, Static website hosting and will create Lifecycle management rule for objects in S3 Bucket. After completing this training you will hav

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this advanced course, you will dive deep into the world of AWS architecture, focusing on critical concepts like scalability, load balancing, auto-scaling, caching, and automation. You will understand how AWS tools and services can be utilized to design highly efficient, scalable, and automated cloud architectures. By exploring real-world use cases and hands-on examp