Kubernetes Quick Start - Course Curriculum

Hexadigitall Technologies https://hexadigitall.com

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Course Snapshot

Structured, hands-on learning path for Kubernetes Quick Start with detailed weekly outcomes and practical delivery.

14 Weeks

Intermediate

Project-Based

Welcome to Kubernetes Quick Start! 🎓

This curriculum for Kubernetes Quick Start follows a Bloom-aligned progression from high-impact fundamentals to delivery-ready execution, with weekly evidence, labs, and portfolio outputs matched to intermediate expectations.

Each week advances from comprehension and application toward evaluation and creation, ensuring progressive learning and capstone readiness.

Your success is our priority. By the end, you will produce portfolio-ready artifacts and confidently explain your technical decisions. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality.

Prerequisites & What You Should Know

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

Recommended Complementary Courses

Cloud Networking

Master virtual networks, security groups, and multi-region routing

DevOps & Infrastructure Automation

Deepen CI/CD pipeline integration and infrastructure drift detection

Cloud Cost Optimization

Learn resource tagging, rightsizing, and multi-cloud cost analysis

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

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

Detailed Weekly Curriculum

Week 12 hours + labs

Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 1)

Identify the principles of Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 1) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Explain Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Apply trade-offs, risks, and decision points for Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 1), then record rationale for stakeholder review.
Document a portfolio-ready architecture decision record for Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 1) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 1) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 1) and verify recovery behavior with observable evidence.

Week 22 hours + labs

Kubernetes Quick Start: Networking and Compute Design (Sprint 1)

Identify the principles of Kubernetes Quick Start: Networking and Compute Design (Sprint 1) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Explain Kubernetes Quick Start: Networking and Compute Design (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Apply trade-offs, risks, and decision points for Kubernetes Quick Start: Networking and Compute Design (Sprint 1), then record rationale for stakeholder review.
Document a portfolio-ready architecture decision record for Kubernetes Quick Start: Networking and Compute Design (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Networking and Compute Design (Sprint 1) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Networking and Compute Design (Sprint 1) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Networking and Compute Design (Sprint 1) and verify recovery behavior with observable evidence.

Week 32 hours + labs

Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 1)

Identify the principles of Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 1) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Explain Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Apply trade-offs, risks, and decision points for Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 1), then record rationale for stakeholder review.
Document a portfolio-ready architecture decision record for Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 1) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 1) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 1) and verify recovery behavior with observable evidence.

Week 42 hours + labs

Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 1)

Identify the principles of Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 1) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Explain Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Apply trade-offs, risks, and decision points for Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 1), then record rationale for stakeholder review.
Document a portfolio-ready architecture decision record for Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 1) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 1) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 1) and verify recovery behavior with observable evidence.

Week 52 hours + labs

Kubernetes Quick Start: Cloud Security and Governance (Sprint 1)

Identify the principles of Kubernetes Quick Start: Cloud Security and Governance (Sprint 1) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Explain Kubernetes Quick Start: Cloud Security and Governance (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Apply trade-offs, risks, and decision points for Kubernetes Quick Start: Cloud Security and Governance (Sprint 1), then record rationale for stakeholder review.
Document a portfolio-ready architecture decision record for Kubernetes Quick Start: Cloud Security and Governance (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Cloud Security and Governance (Sprint 1) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Cloud Security and Governance (Sprint 1) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Cloud Security and Governance (Sprint 1) and verify recovery behavior with observable evidence.

Week 62 hours + labs

Kubernetes Quick Start: Observability and Operations (Sprint 1)

Apply the principles of Kubernetes Quick Start: Observability and Operations (Sprint 1) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Analyze Kubernetes Quick Start: Observability and Operations (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Evaluate trade-offs, risks, and decision points for Kubernetes Quick Start: Observability and Operations (Sprint 1), then record rationale for stakeholder review.
Document a portfolio-ready architecture decision record for Kubernetes Quick Start: Observability and Operations (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Observability and Operations (Sprint 1) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Observability and Operations (Sprint 1) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Observability and Operations (Sprint 1) and verify recovery behavior with observable evidence.

Week 72 hours + labs

Kubernetes Quick Start: Cost and Performance Engineering (Sprint 1)

Apply the principles of Kubernetes Quick Start: Cost and Performance Engineering (Sprint 1) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Analyze Kubernetes Quick Start: Cost and Performance Engineering (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Evaluate trade-offs, risks, and decision points for Kubernetes Quick Start: Cost and Performance Engineering (Sprint 1), then record rationale for stakeholder review.
Document a portfolio-ready architecture decision record for Kubernetes Quick Start: Cost and Performance Engineering (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Cost and Performance Engineering (Sprint 1) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Cost and Performance Engineering (Sprint 1) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Cost and Performance Engineering (Sprint 1) and verify recovery behavior with observable evidence.

Week 82 hours + labs

Kubernetes Quick Start: Resilience and Disaster Preparedness (Sprint 1)

Apply the principles of Kubernetes Quick Start: Resilience and Disaster Preparedness (Sprint 1) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Analyze Kubernetes Quick Start: Resilience and Disaster Preparedness (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Evaluate trade-offs, risks, and decision points for Kubernetes Quick Start: Resilience and Disaster Preparedness (Sprint 1), then record rationale for stakeholder review.
Document a portfolio-ready architecture decision record for Kubernetes Quick Start: Resilience and Disaster Preparedness (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Resilience and Disaster Preparedness (Sprint 1) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Resilience and Disaster Preparedness (Sprint 1) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Resilience and Disaster Preparedness (Sprint 1) and verify recovery behavior with observable evidence.

Week 92 hours + labs

Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 2)

Apply the principles of Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 2) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Analyze Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Evaluate trade-offs, risks, and decision points for Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 2), then record rationale for stakeholder review.
Document a portfolio-ready architecture decision record for Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 2) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 2) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 2) and verify recovery behavior with observable evidence.

Week 102 hours + labs

Kubernetes Quick Start: Networking and Compute Design (Sprint 2)

Analyze the principles of Kubernetes Quick Start: Networking and Compute Design (Sprint 2) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Evaluate Kubernetes Quick Start: Networking and Compute Design (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Create trade-offs, risks, and decision points for Kubernetes Quick Start: Networking and Compute Design (Sprint 2), then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for Kubernetes Quick Start: Networking and Compute Design (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Networking and Compute Design (Sprint 2) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Networking and Compute Design (Sprint 2) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Networking and Compute Design (Sprint 2) and verify recovery behavior with observable evidence.

Week 112 hours + labs

Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 2)

Analyze the principles of Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 2) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Evaluate Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Create trade-offs, risks, and decision points for Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 2), then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 2) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 2) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 2) and verify recovery behavior with observable evidence.

Week 122 hours + labs

Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 2)

Analyze the principles of Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 2) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Evaluate Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Create trade-offs, risks, and decision points for Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 2), then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 2) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 2) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 2) and verify recovery behavior with observable evidence.

Week 132 hours + labs

Kubernetes Quick Start: Cloud Security and Governance (Sprint 2)

Analyze the principles of Kubernetes Quick Start: Cloud Security and Governance (Sprint 2) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Evaluate Kubernetes Quick Start: Cloud Security and Governance (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Create trade-offs, risks, and decision points for Kubernetes Quick Start: Cloud Security and Governance (Sprint 2), then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for Kubernetes Quick Start: Cloud Security and Governance (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Cloud Security and Governance (Sprint 2) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Cloud Security and Governance (Sprint 2) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Cloud Security and Governance (Sprint 2) and verify recovery behavior with observable evidence.

Week 142 hours + labs

Kubernetes Quick Start: Observability and Operations (Sprint 2)

Analyze the principles of Kubernetes Quick Start: Observability and Operations (Sprint 2) and link them to course outcomes in time-boxed sprints with rapid feedback loops.
Evaluate Kubernetes Quick Start: Observability and Operations (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Create trade-offs, risks, and decision points for Kubernetes Quick Start: Observability and Operations (Sprint 2), then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for Kubernetes Quick Start: Observability and Operations (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Deploy Kubernetes Quick Start: Observability and Operations (Sprint 2) using versioned manifests/charts and validate workload health across namespaces.
Configure scaling, resiliency, and traffic controls relevant to Kubernetes Quick Start: Observability and Operations (Sprint 2) (probes, policies, or routing).
Execute a fault-injection drill for Kubernetes Quick Start: Observability and Operations (Sprint 2) and verify recovery behavior with observable evidence.

Capstone Projects

Project 1: Kubernetes Quick Start Foundation Build

Deliver a concrete foundation implementation covering the first phase of the curriculum.

Implement and validate Kubernetes Quick Start: Cloud Foundations and Shared Responsibility (Sprint 1).
Integrate Kubernetes Quick Start: Networking and Compute Design (Sprint 1) with reusable workflow standards.
Publish evidence for Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 1) with test and quality artifacts.

Project 2: Kubernetes Quick Start Integrated Systems Build

Combine mid-program competencies into a production-style integrated workflow.

Build an end-to-end flow around Kubernetes Quick Start: Cloud Security and Governance (Sprint 1) and Kubernetes Quick Start: Observability and Operations (Sprint 1).
Add controls, observability, and rollback paths for reliability.
Document architecture decisions and trade-offs tied to Kubernetes Quick Start: Cost and Performance Engineering (Sprint 1).

Project 3: Kubernetes Quick Start Capstone Delivery

Ship a portfolio-ready capstone with measurable outcomes and stakeholder-ready presentation.

Deliver a complete implementation centered on Kubernetes Quick Start: Storage, Backup, and Recovery (Sprint 2).
Validate readiness for Kubernetes Quick Start: Infrastructure as Code Practices (Sprint 2) using objective acceptance checks.
Present final defense and roadmap based on Kubernetes Quick Start: Cloud Security and Governance (Sprint 2) outcomes.