EdX

Migrating to the AWS Cloud (edX)

Offered by AWS,
Migrating to the AWS Cloud (edX)

Learn how to migrate your on-premises applications and workloads to the AWS Cloud. This four week course focuses on migrating workloads to AWS. We will focus on analyzing your current environment, planning your migration, and discussing the actual migration steps. We will also survey AWS tools and services that will accelerate your migration to AWS.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Hands-on labs are available, though not required for this class. Access to the labs is limited to paid enrolled students. You can audit this course without taking the labs. As we dive into each of the services covered in this class, there will be links to documentation where you can find example applications and code samples.

What you'll learn

  • Conduct portfolio discovery and analyze the infrastructure and workloads of an on-premises environment
  • Describe strategies for planning and migrating workloads to the AWS Cloud
  • Discuss AWS services commonly used for cloud migration

Syllabus

Week 1

  • Welcome to AWS Fundamentals: Migrating to the Cloud
  • Introduction to Week 1
  • Meet the Instructors
  • Defining what we mean by Migration
  • Migration Preparation and Business Planning (Phase 1)
  • Portfolio Discovery and Planning (Phase 2)
  • Design, Migration and Application Validation (Phase 3 & 4)
  • Operate (Phase 5)
  • Cloud Adoption Framework - Hybrid Environments
  • What are we hoping to get out of this class

Week 2

  • Introduction to Week 2
  • Scaling Considerations
  • High Availability
  • Considerations with Migrating DB vs Applications
  • AWS Server Migration Services
  • VM Import and VM on AWS (Server Migration Service)
  • Introduce AWS Migration Hub
  • AWS Application Discovery Service
  • Multi-environment Security and Communications6m
  • Data Considerations When Migrating

Week 3

  • Introduction to Week 3
  • Amazon EFS, Amazon EBS, & Amazon S3
  • Storage - AWS Snowball & AWS Snowmobile
  • AWS Storage Gateway Now with AWS DataSync
  • Storage - AWS DMS Overview
  • Storage - AWS DMS Core Features
  • Storage Schema Conversion
  • Storage - Amazon Aurora (Serverless)
  • AWS Direct Connect & Amazon Route 53
  • Deployment Strategies

Week 4

  • Introduction to Week 4
  • Automation - AWS API Centricity
  • AWS System Manager & AWS Cloud Formation
  • Overview and TSO Logic
  • Migration Tools - Cloud Endure
  • Migration Acceleration Program (MAP)
  • Recap - Migration Types
  • Next Steps - Partners
  • Class Wrap Up
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Tencent Cloud Solutions Architect Professional (Coursera) Coursera
Tencent Cloud

Tencent Cloud Solutions Architect Professional (Coursera)

The course equips learners with knowledge in cloud architecture design at the professional level and prepares them to take the Tencent Cloud Solutions Architect Professional examination. After completing this course, learners will be able to design and develop complex business systems and cloud native applications, implement cloud native transformation based on the characteristics of the business, and apply agile development, DevOps, containers, artificial intelligence, and packaged business capabilities in their respective organizations.

Aug 10th 2026
13-24 Weeks
Introduction to Designing Data Lakes on AWS (edX) EdX
AWS

Introduction to Designing Data Lakes on AWS (edX)

In this class, we will help you understand how to create and operate a data lake in a secure and scalable way, without previous knowledge of data science! Designing a data lake is challenging because of the scale and growth of data. This course is for professionals (Architects, System Administrators and DevOps) who need to design and build an architecture for secure and scalable Data Lake components. Students will learn about the use cases for a Data Lake and, contrast that with a traditional infrastructure of servers and storage.

Self Paced
Self-Paced
Machine Learning Operations 1 (MLOps1-AWS): Deploying AI & ML Models in Production using Amazon Web Services (AWS) (edX) EdX
Statistics.comX,Statistics.com

Machine Learning Operations 1 (MLOps1-AWS): Deploying AI & ML Models in Production using Amazon Web Services (AWS) (edX)

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: Machine Learning Operations 1 (MLOps1): Deploying AI & ML Models in Production using Amazon Web Services (AWS).

Self Paced
Self-Paced
Building Modern Python Applications on AWS (edX) EdX
AWS

Building Modern Python Applications on AWS (edX)

In this course, we will be covering how to build a modern, greenfield serverless backend on AWS. In modern cloud native application development, it’s often times the goal to build out serverless architectures that are scalable, are highly available, and are fully managed. This mean, less operational overhead for you and your business, and more focusing on the applications and business specific projects that differentiate you in your marketplace. In this course, we will be covering how to build a modern, greenfield serverless backend on AWS.

Self Paced
Self-Paced
Generative AI and LLMs on AWS (edX) EdX
AI (Pragmatic AI Labs)

Generative AI and LLMs on AWS (edX)

Unlock scalable generative AI with expert training on deploying and optimizing large language models on AWS for peak performance and compliance. Master deploying generative AI models like GPT on AWS through hands-on labs. Learn architecture selection, cost optimization, monitoring, CI/CD pipelines, and compliance best practices. Gain skills in operationalizing LLMs using Amazon Bedrock, auto-scaling, spot instances, and differential privacy techniques. Ideal for ML engineers, data scientists, and technical leaders.

Self Paced
Self-Paced
Cloud Cost Management: Optimization Strategies (edX) EdX
AWS

Cloud Cost Management: Optimization Strategies (edX)

Cloud cost management is the organizational planning that allows an enterprise to understand and manage the costs and needs associated with its cloud technology. In particular, this means finding cost-effective ways to maximize cloud usage and efficiency. AWS has a set of services, tools and resources to help the customers with cost management and optimization. This course will highlight the solutions and best practices to get started with optimizing AWS cost and capacity.

Self Paced
Self-Paced
Exam Prep: AWS Certified Solutions Architect - Associate (Coursera) Coursera
AWS

Exam Prep: AWS Certified Solutions Architect - Associate (Coursera)

This new intermediate-level course from Amazon Web Services (AWS) is designed to help you to assess your preparedness for the AWS Certified Solutions Architect - Associate exam. You will learn how to prepare for the exam by exploring the exam’s topic areas and how they map to architecting on AWS. You will review sample certification questions in each domain, practice skills with hands-on exercises, test your knowledge with practice question sets, and learn strategies for identifying incorrect responses by interpreting the concepts that are being tested in the exam.

Aug 10th 2026
4 Weeks