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 modules

Module 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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