Cloud Computing Essentials

IaaS, PaaS, SaaS, containers, serverless and cost-aware cloud architecture — including GPU hosting for AI.

0.0 (0) 0 learners Beginner English 12–16 hours IT professionals / developers Eng. Omar Khalil

What you'll learn

Explain cloud service and deployment models
Choose between VMs, containers and serverless
Design for scalability and availability
Estimate and control cloud and GPU costs
Learn with the Smart Instructor

This course has its own AI knowledge space. The Smart Instructor understands the syllabus, lessons and trainer materials, answers from them with citations, generates practice and adapts difficulty.

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Curriculum

3 sections · 6 lessons · 3.5 hours · 1 assessments

What is Cloud Computing? Preview 6 min
IaaS, PaaS and SaaS 6 min
Public, Private and Hybrid Cloud 6 min

Containers and Serverless 6 min
Scalability, Availability and Cost 6 min

Final Project: Build & Submit AI Lab 180 min

Description

Understand how modern platforms — including AI platforms — run in the cloud, and how to decide between public, private and hybrid deployments for data sovereignty and cost.

Prerequisites: Basic IT knowledge.

Skills you will build
Cloud ComputingAI-Assisted Software Engineering

Final project (AI Lab)

Design a cloud architecture for an AI learning platform serving 10,000 learners, including where the LLM runs, data residency choices and a monthly cost estimate.

Built in the AI Lab with your Smart Instructor, Coding, Debugging, Tutor and Assessment experts — evaluated against a rubric and reviewed by your trainer.

Your trainer

O
Eng. Omar Khalil
Software, Data & Cybersecurity
Software Engineer · Technology, Data & Cyber Academies

Omar is a senior software engineer who teaches practical Python, cloud, data and security skills.

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$29.99
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  • 3.5 hours of content
  • Smart Instructor with cited answers
  • AI-generated practice & adaptive remediation
  • Verifiable certificate of completion
Part of learning paths
AI-Era Software Developer