AWS Cloud Architecture and Implementation
Description
This comprehensive course, "AWS Cloud Architecture and Implementation," bridges the gap between theoretical cloud paradigms and professional production-grade environments. Designed for experienced IS professionals, the program covers the full spectrum of modern architecture, including Microservices, Docker containers, and Serverless computing via AWS Lambda. Participants engage in project-based, hands-on labs to master core AWS services such as VPC networking, IAM security, and automated CI/CD pipelines. By exploring Event-Driven architectures and advanced data management (RDS vs. NoSQL), the curriculum equips stakeholders with the technical proficiency to design, deploy, and monitor scalable, high-availability systems in a production readiness context.
Intended audience
-IT, System, and Infrastructure Professionals: These are individuals experienced with servers, networking, and storage in physical (On-Premise) environments who seek to transition to the Cloud.
- Software Developers (Full Stack / Backend): Developers who want to move beyond "just writing code" and begin understanding where and how their code is executed.
- Entry-Level DevOps Engineers: Those who have already started working with tools like Git or Docker but lack a deep understanding of the "Cloud Provider" (in this case, AWS).
Topics
Foundations & Connectivity
Identity and Access Management (IAM).
Establishing Networking infrastructure and building a secured EC2 server.
Project: Deploying your first application in the Cloud.
Scalability & High Availability
Designing resilient systems (High Availability).
Configuring Application Load Balancers and load management.
Automating compute resources via Auto Scaling Groups.
Microservices & Containers
Working with Docker: Building and managing Images.
Container management in AWS using ECS and Fargate.
Modern deployment strategies (Blue/Green, Canary).
Event-Driven & Data Architectures
Implementing managed databases and advanced storage services.
Event-Driven Architecture using SQS, SNS, and Lambda.
Integration between asynchronous services.
DevOps & Production Readiness
Building a fully automated Pipeline (CI/CD).
Monitoring, Logging, and troubleshooting in a Production environment.
Best Practices for security and cost management.
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