🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
AWSDEVADV

Advanced Developing on AWS

The Advanced Developing on AWS course uses the real-world scenario of taking a legacy, on-premises monolithic application and refactoring it into a serverless microservices architecture. This three-day advanced course covers advanced development topics such as architecting for a cloud-native environment; deconstructing on-premises, legacy applications and repackaging them into cloud-based, cloud native architectures; and applying the tenets of the Twelve-Factor Application methodology.

AWS
✓ Official training AWSLevel Advanced⏱️ 3 days (21h)

What you will learn

  • Analyze a monolithic application architecture to determine logical or programmatic break points where the application can be broken up across different AWS services
  • Apply Twelve-Factor Application manifesto concepts and steps while migrating from a monolithic architecture
  • Recommend the appropriate AWS services to develop a microservices based cloud-native application
  • Use the AWS API, CLI, and SDKs to monitor and manage AWS services
  • Migrate a monolithic application to a microservices application using the 6 Rs of migration
  • Explain the SysOps and DevOps interdependencies necessary to deploy a microservices application in AWS

Prerequisites

  • In-depth knowledge of at least one high-level programming language
  • Working knowledge of core AWS services and public cloud implementation
  • Completion of the Developing on AWS classroom training, and then a minimum of 6 months of application of those concepts in a real world environment

Target audience

  • Experienced software developers who are already familiar with AWS services.

Training Program

6 modules to master the fundamentals

Topics covered
  • →Common off-cloud architecture
  • →Introduction to Cloud Air
  • →Monolithic architecture
  • →Migration to the cloud
  • →Guardrails
  • →The six R's of migration
  • →The Twelve-Factor Application Methodology
  • →Architectural styles and patterns
  • →Overview of AWS Services
  • →Interfacing with AWS Services
  • →Authentication
  • →Infrastructure as code and Elastic Beanstalk
Activities

Demonstration: Walk through creating base infrastructure with AWS CloudFormation in the AWS console

Hands-on lab 1: Deploy your monolith application using AWS Elastic Beanstalk

Topics covered
  • →DevOps
  • →CI/CD
  • →Application configuration
  • →Secrets management
  • →CI/CD Services in AWS
Activities

Demonstration: Demo AWS Secrets Manager

Topics covered
  • →Microservices
  • →Serverless
  • →A look at Cloud Air
  • →Microservices using Lambda and API Gateway
  • →SAM
  • →Strangling the Monolith
Activities

Hands-on lab: Using AWS Lambda to develop microservices

Topics covered
  • →Polyglot persistence
  • →DynamoDB best practices
  • →Distributed complexity
  • →Step functions
Topics covered
  • →Decentralized data stores
  • →Amazon SQS
  • →Amazon SNS
  • →Amazon Kinesis Streams
  • →AWS IoT Message Broker
  • →Serverless event bus
  • →Event sourcing and CQRS
  • →Designing for resilience in the cloud
Activities

Hands-on lab: Exploring the AWS messaging options

Topics covered
  • →Serverless Compute with AWS Lambda
  • →Authentication with Amazon Cognito
  • →Debugging and traceability
Activities

Hands-on lab: Developing microservices on AWS

Hands-on lab 8: Automating deployments with Cloud Formation

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Upcoming sessions

May 11, 2026
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August 27, 2026
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November 25, 2026
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Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

2,370€ excl. VAT

per learner

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