AI curriculum
Course outline for AWS Engineering
AWS architectures need clear permissions and operating controls. Map a workload to services and define a repeatable deployment with observable behavior.
About AWS Engineering
AWS architectures need clear permissions and operating controls. Map a workload to services and define a repeatable deployment with observable behavior.
AWS Engineering Course Objectives
- Select AWS service roles for a sample application.
- Define least-privilege IAM and networking boundaries.
- Plan automated deployment and operational checks.
Pre-requisites
- Familiarity with cloud infrastructure and networking.
- Basic command-line and application deployment skills.
Lab Setup
- Computer with a terminal and configuration editor.
- Use local mocks or supplied AWS deployment examples.
- An approved nonproduction AWS account is optional; review service costs and cleanup before any live exercise.
Detailed Course Outline
Proposed modulesModule 1: Service and access design
- Core AWS services
- Networking
- IAM
- Compute
Practical outcome: Design network and identity boundaries for an application.
Module 2: Data and operations
- Storage
- Databases
- Observability
- Automation
Practical outcome: Specify data services and repeatable operational checks.
Practical exercise
- Create a deployment plan and review its permissions, monitoring, and cleanup steps.
How we train
Contact us for full course details, including duration, delivery options and lab requirements.
Ask about exercises, instructor feedback and the prior knowledge you need. Tool-specific courses marked provisional may become modules in a broader course.
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