AI curriculum
Course outline for Cloud Computing Foundations
Cloud services need to be selected around workload constraints. Design a basic deployment with explicit identity, reliability, and cost assumptions.
About Cloud Computing Foundations
Cloud services need to be selected around workload constraints. Design a basic deployment with explicit identity, reliability, and cost assumptions.
Cloud Computing Foundations Course Objectives
- Map compute, storage, networking, and identity needs.
- Compare managed and serverless deployment options.
- Estimate cost drivers and identify reliability risks.
Pre-requisites
- Basic application and networking awareness.
- Familiarity with operating system concepts.
Lab Setup
- Computer with a browser and diagram editor.
- Use local simulations and supplied service examples; cloud accounts are optional and must be nonproduction.
Detailed Course Outline
Proposed modulesModule 1: Infrastructure building blocks
- Compute
- Storage
- Networking
- Identity
Practical outcome: Sketch a deployment with access boundaries.
Module 2: Operating choices
- Managed services
- Serverless
- Cloud economics
- Reliability
Practical outcome: Compare operating responsibilities and cost drivers.
Practical exercise
- Design a cloud deployment and document failure scenarios and cost assumptions.
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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