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Course Snapshot

Understand cloud fundamentals, services, and how businesses use cloud infrastructure.

Intro to Cloud Computing

Intro to Cloud Computing

A professionally structured weekly curriculum aligned to the level, tooling, and delivery expectations of this course.

Duration: 12 Weeks
Level: Beginner
Study Time: 2 hours/week + labs

Welcome to Intro to Cloud Computing! 🎓

This curriculum is designed to take you from core understanding to confident delivery through weekly applied practice, measurable outcomes, and portfolio evidence.

Each week builds progressively with practical tasks, implementation checkpoints, and reflection points so you can convert knowledge into repeatable professional performance.

Your success is our priority. Stay consistent with weekly execution, document your work, and use feedback loops to continuously improve your delivery quality.

Prerequisites

  • Experience designing system architectures with distributed components and resilience patterns
  • Hands-on practice with Infrastructure-as-Code, cloud service models (IaaS/PaaS/SaaS), and networking basics
  • Understanding of auto-scaling, load balancing, and cloud cost optimization tradeoffs
  • Familiarity with at least one major cloud console (AWS, Azure, or GCP) and basic CLI usage

Learning Outcomes

  • Cloud computing concepts and benefits
  • Overview of AWS, Azure, and Google Cloud
  • Cloud service models (IaaS, PaaS, SaaS)
  • Cloud storage and networking basics
  • Security and compliance fundamentals

Recommended Complementary Courses

  • Pair this curriculum with a related foundation or advanced specialization to strengthen adjacent skill areas.
  • Select one systems-focused and one delivery-focused course to improve both implementation depth and execution speed.
  • Use complementary study tracks to broaden portfolio evidence and improve interview and project readiness.

Essential Learning Resources

  • Cloud architecture reference implementations and Well-Architected Framework reviews
  • Infrastructure-as-Code templates and cloud service comparison matrices
  • Cost optimization playbooks and resilience validation runbooks

Your Learning Roadmap

Foundation

Weeks 1-3

  • Early Weeks: Core cloud services, networking fundamentals, and basic deployments
  • Middle Weeks: Advanced architectures, multi-region deployment, and disaster recovery
  • Late Weeks: Cost optimization, governance frameworks, and production readiness

Build

Weeks 4-6

  • Core Cloud Services: Compute, Storage, and Networking
  • Identity, Access, and Account Security Basics
  • Virtual Machines, Containers, and Serverless Overview

Integration

Weeks 7-9

  • Cloud Databases and Managed Services
  • Scalability, Elasticity, and High Availability
  • Monitoring, Logging, and Cost Awareness

Capstone

Weeks 10-12

  • Security, Compliance, and Backup Basics
  • Comparing AWS, Azure, and Google Cloud
  • Capstone: Design a Simple Cloud Solution

Detailed Weekly Curriculum

Week 1 2 hours/week + labs
Cloud Computing Basics and Shared Responsibility
  • Identify the principles of Cloud Computing Basics and Shared Responsibility and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Explain Cloud Computing Basics and Shared Responsibility in a guided scenario using realistic tools, constraints, and quality gates.
  • Apply trade-offs, risks, and decision points for Cloud Computing Basics and Shared Responsibility, then record rationale for stakeholder review.
  • Document a portfolio-ready architecture decision record for Cloud Computing Basics and Shared Responsibility with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.
Week 2 2 hours/week + labs
Service Models: IaaS, PaaS, and SaaS
  • Identify the principles of Service Models: IaaS, PaaS, and SaaS and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Explain Service Models: IaaS, PaaS, and SaaS in a guided scenario using realistic tools, constraints, and quality gates.
  • Apply trade-offs, risks, and decision points for Service Models: IaaS, PaaS, and SaaS, then record rationale for stakeholder review.
  • Document a portfolio-ready architecture decision record for Service Models: IaaS, PaaS, and SaaS with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.
Week 3 2 hours/week + labs
Public, Private, and Hybrid Cloud Models
  • Identify the principles of Public, Private, and Hybrid Cloud Models and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Explain Public, Private, and Hybrid Cloud Models in a guided scenario using realistic tools, constraints, and quality gates.
  • Apply trade-offs, risks, and decision points for Public, Private, and Hybrid Cloud Models, then record rationale for stakeholder review.
  • Document a portfolio-ready architecture decision record for Public, Private, and Hybrid Cloud Models with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.
Week 4 2 hours/week + labs
Core Cloud Services: Compute, Storage, and Networking
  • Identify the principles of Core Cloud Services: Compute, Storage, and Networking and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Explain Core Cloud Services: Compute, Storage, and Networking in a guided scenario using realistic tools, constraints, and quality gates.
  • Apply trade-offs, risks, and decision points for Core Cloud Services: Compute, Storage, and Networking, then record rationale for stakeholder review.
  • Document a portfolio-ready architecture decision record for Core Cloud Services: Compute, Storage, and Networking with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.
Week 5 2 hours/week + labs
Identity, Access, and Account Security Basics
  • Apply the principles of Identity, Access, and Account Security Basics and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Analyze Identity, Access, and Account Security Basics in a guided scenario using realistic tools, constraints, and quality gates.
  • Evaluate trade-offs, risks, and decision points for Identity, Access, and Account Security Basics, then record rationale for stakeholder review.
  • Document a portfolio-ready architecture decision record for Identity, Access, and Account Security Basics with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.
Week 6 2 hours/week + labs
Virtual Machines, Containers, and Serverless Overview
  • Apply the principles of Virtual Machines, Containers, and Serverless Overview and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Analyze Virtual Machines, Containers, and Serverless Overview in a guided scenario using realistic tools, constraints, and quality gates.
  • Evaluate trade-offs, risks, and decision points for Virtual Machines, Containers, and Serverless Overview, then record rationale for stakeholder review.
  • Document a portfolio-ready architecture decision record for Virtual Machines, Containers, and Serverless Overview with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.
Week 7 2 hours/week + labs
Cloud Databases and Managed Services
  • Apply the principles of Cloud Databases and Managed Services and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Analyze Cloud Databases and Managed Services in a guided scenario using realistic tools, constraints, and quality gates.
  • Evaluate trade-offs, risks, and decision points for Cloud Databases and Managed Services, then record rationale for stakeholder review.
  • Document a portfolio-ready architecture decision record for Cloud Databases and Managed Services with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.
Week 8 2 hours/week + labs
Scalability, Elasticity, and High Availability
  • Apply the principles of Scalability, Elasticity, and High Availability and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Analyze Scalability, Elasticity, and High Availability in a guided scenario using realistic tools, constraints, and quality gates.
  • Evaluate trade-offs, risks, and decision points for Scalability, Elasticity, and High Availability, then record rationale for stakeholder review.
  • Document a portfolio-ready architecture decision record for Scalability, Elasticity, and High Availability with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.
Week 9 2 hours/week + labs
Monitoring, Logging, and Cost Awareness
  • Analyze the principles of Monitoring, Logging, and Cost Awareness and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Evaluate Monitoring, Logging, and Cost Awareness in a guided scenario using realistic tools, constraints, and quality gates.
  • Create trade-offs, risks, and decision points for Monitoring, Logging, and Cost Awareness, then record rationale for stakeholder review.
  • Defend a portfolio-ready architecture decision record for Monitoring, Logging, and Cost Awareness with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.
Week 10 2 hours/week + labs
Security, Compliance, and Backup Basics
  • Analyze the principles of Security, Compliance, and Backup Basics and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Evaluate Security, Compliance, and Backup Basics in a guided scenario using realistic tools, constraints, and quality gates.
  • Create trade-offs, risks, and decision points for Security, Compliance, and Backup Basics, then record rationale for stakeholder review.
  • Defend a portfolio-ready architecture decision record for Security, Compliance, and Backup Basics with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.
Week 11 2 hours/week + labs
Comparing AWS, Azure, and Google Cloud
  • Analyze the principles of Comparing AWS, Azure, and Google Cloud and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Evaluate Comparing AWS, Azure, and Google Cloud in a guided scenario using realistic tools, constraints, and quality gates.
  • Create trade-offs, risks, and decision points for Comparing AWS, Azure, and Google Cloud, then record rationale for stakeholder review.
  • Defend a portfolio-ready architecture decision record for Comparing AWS, Azure, and Google Cloud with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.
Week 12 2 hours/week + labs
Capstone: Design a Simple Cloud Solution
  • Analyze the principles of Capstone: Design a Simple Cloud Solution and link them to course outcomes with scaffolded guidance and beginner-safe checkpoints.
  • Evaluate Capstone: Design a Simple Cloud Solution in a guided scenario using realistic tools, constraints, and quality gates.
  • Create trade-offs, risks, and decision points for Capstone: Design a Simple Cloud Solution, then record rationale for stakeholder review.
  • Defend a portfolio-ready architecture decision record for Capstone: Design a Simple Cloud Solution with measurable success criteria and next actions.
  • Track measurable progress using rubric scores, defect/risk trends, and evidence completeness each week.
  • Run a short retrospective focused on what to retain, improve, and scale into the following week.
  • Incorporate peer or mentor feedback and revise the week deliverable to professional publication quality.
  • Publish the week output into your cumulative portfolio with concise outcome narrative and proof artifacts.

Capstone Projects

Project 1: Foundational Cloud Environment Build

Provision a baseline cloud environment with compute, storage, networking, and IAM controls for a small application.

  • Environment architecture diagram
  • Provisioning and validation evidence
  • Security baseline checklist

Project 2: Resilience and Operations Upgrade

Enhance the baseline with monitoring, backups, scaling strategy, and cost tracking to improve operational readiness.

  • Monitoring and alert configuration set
  • Backup and recovery validation notes
  • Cost optimization and trade-off report

Project 3: Capstone: End-to-End Cloud Solution Proposal

Deliver a complete cloud design and proof-of-concept deployment with clear decisions on security, reliability, and budget management.

  • Final architecture and implementation package
  • Stakeholder presentation and defense
  • Roadmap for scaling and hardening

Study Tips

  • Allocate two weekly blocks for architecture review, deployment testing, and cost analysis against budgets.
  • Maintain an architecture decision record documenting service choices, redundancy approaches, and cost drivers.
  • Run weekly cost reviews, comparing projected vs. actual spend and identifying optimization leverage points.

Study Tips for Success

  • Protect consistent weekly practice time and complete hands-on work before moving to the next topic.
  • Document implementation decisions, trade-offs, and lessons learned after each weekly deliverable.
  • Review feedback quickly and ship an improved revision within the same week to reinforce retention.
  • Track measurable progress with checklists, test evidence, and milestone outcomes.

About Intro to Cloud Computing

This curriculum is structured to build practical capability, consistent delivery discipline, and portfolio-ready outcomes in Intro to Cloud Computing. It combines conceptual understanding with applied execution so learners can perform confidently in real project environments.