DevOps Engineering & Cloud Infrastructure

Hexadigitall Academy (Hexadigitall Technologies)

www.hexadigitall.com

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Course Snapshot

Master DevOps practices with containerization, orchestration, and infrastructure-as-code. Deploy and manage cloud infrastructure on AWS, Azure, or GCP with automation and best practices.

Welcome to DevOps Engineering & Cloud Infrastructure! 🎓

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

Hands-on projects to build practical skills
Industry best practices and workflows
Tools and frameworks used by professionals
Guidance to build a job-ready portfolio
Mentorship and feedback for faster growth

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 1-5

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 6-10

Kubernetes Architecture and Workload Basics
Kubernetes Services, Ingress, and Traffic Routing
ConfigMaps, Secrets, and Stateful Workloads

Integration

Weeks 11-15

Terraform Remote State, Environments, and Drift Control
Cloud Networking, IAM, and Core Platform Services
CI/CD Release Strategies and Deployment Safety

Capstone

Weeks 16-20

GitOps Workflows and Platform Operations
Reliability Engineering and Incident Response
FinOps, Capacity Planning, and Performance Tuning

Detailed Weekly Curriculum

Week 1 3 hours/week + labs

DevOps Culture, Linux, and Shell Workflow

Analyze the principles of DevOps Culture, Linux, and Shell Workflow and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate DevOps Culture, Linux, and Shell Workflow in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for DevOps Culture, Linux, and Shell Workflow, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for DevOps Culture, Linux, and Shell Workflow 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 3 hours/week + labs

Git Strategy, Branching, and Team Collaboration

Analyze the principles of Git Strategy, Branching, and Team Collaboration and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate Git Strategy, Branching, and Team Collaboration in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for Git Strategy, Branching, and Team Collaboration, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for Git Strategy, Branching, and Team Collaboration 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 3 hours/week + labs

CI Pipelines with Automated Build and Test

Analyze the principles of CI Pipelines with Automated Build and Test and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate CI Pipelines with Automated Build and Test in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for CI Pipelines with Automated Build and Test, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for CI Pipelines with Automated Build and Test 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 3 hours/week + labs

Containerization with Docker and Image Design

Analyze the principles of Containerization with Docker and Image Design and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate Containerization with Docker and Image Design in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for Containerization with Docker and Image Design, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for Containerization with Docker and Image Design 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 3 hours/week + labs

Container Networking, Volumes, and Runtime Debugging

Analyze the principles of Container Networking, Volumes, and Runtime Debugging and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate Container Networking, Volumes, and Runtime Debugging in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for Container Networking, Volumes, and Runtime Debugging, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for Container Networking, Volumes, and Runtime Debugging 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 3 hours/week + labs

Kubernetes Architecture and Workload Basics

Analyze the principles of Kubernetes Architecture and Workload Basics and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate Kubernetes Architecture and Workload Basics in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for Kubernetes Architecture and Workload Basics, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for Kubernetes Architecture and Workload 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 7 3 hours/week + labs

Kubernetes Services, Ingress, and Traffic Routing

Analyze the principles of Kubernetes Services, Ingress, and Traffic Routing and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate Kubernetes Services, Ingress, and Traffic Routing in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for Kubernetes Services, Ingress, and Traffic Routing, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for Kubernetes Services, Ingress, and Traffic Routing 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 3 hours/week + labs

ConfigMaps, Secrets, and Stateful Workloads

Evaluate the principles of ConfigMaps, Secrets, and Stateful Workloads and link them to course outcomes at advanced depth with architecture-level decision quality.
Design ConfigMaps, Secrets, and Stateful Workloads in a guided scenario using realistic tools, constraints, and quality gates.
Optimize trade-offs, risks, and decision points for ConfigMaps, Secrets, and Stateful Workloads, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for ConfigMaps, Secrets, and Stateful Workloads 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 3 hours/week + labs

Helm and Kubernetes Release Management

Evaluate the principles of Helm and Kubernetes Release Management and link them to course outcomes at advanced depth with architecture-level decision quality.
Design Helm and Kubernetes Release Management in a guided scenario using realistic tools, constraints, and quality gates.
Optimize trade-offs, risks, and decision points for Helm and Kubernetes Release Management, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for Helm and Kubernetes Release Management 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 3 hours/week + labs

Terraform Fundamentals and Module Structure

Evaluate the principles of Terraform Fundamentals and Module Structure and link them to course outcomes at advanced depth with architecture-level decision quality.
Design Terraform Fundamentals and Module Structure in a guided scenario using realistic tools, constraints, and quality gates.
Optimize trade-offs, risks, and decision points for Terraform Fundamentals and Module Structure, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for Terraform Fundamentals and Module Structure 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 3 hours/week + labs

Terraform Remote State, Environments, and Drift Control

Evaluate the principles of Terraform Remote State, Environments, and Drift Control and link them to course outcomes at advanced depth with architecture-level decision quality.
Design Terraform Remote State, Environments, and Drift Control in a guided scenario using realistic tools, constraints, and quality gates.
Optimize trade-offs, risks, and decision points for Terraform Remote State, Environments, and Drift Control, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for Terraform Remote State, Environments, and Drift Control 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 3 hours/week + labs

Cloud Networking, IAM, and Core Platform Services

Evaluate the principles of Cloud Networking, IAM, and Core Platform Services and link them to course outcomes at advanced depth with architecture-level decision quality.
Design Cloud Networking, IAM, and Core Platform Services in a guided scenario using realistic tools, constraints, and quality gates.
Optimize trade-offs, risks, and decision points for Cloud Networking, IAM, and Core Platform Services, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for Cloud Networking, IAM, and Core Platform 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 13 3 hours/week + labs

CI/CD Release Strategies and Deployment Safety

Evaluate the principles of CI/CD Release Strategies and Deployment Safety and link them to course outcomes at advanced depth with architecture-level decision quality.
Design CI/CD Release Strategies and Deployment Safety in a guided scenario using realistic tools, constraints, and quality gates.
Optimize trade-offs, risks, and decision points for CI/CD Release Strategies and Deployment Safety, then record rationale for stakeholder review.
Justify a portfolio-ready architecture decision record for CI/CD Release Strategies and Deployment Safety 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 14 3 hours/week + labs

Observability with Metrics, Logs, and Traces

Design the principles of Observability with Metrics, Logs, and Traces and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize Observability with Metrics, Logs, and Traces in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for Observability with Metrics, Logs, and Traces, then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for Observability with Metrics, Logs, and Traces 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 15 3 hours/week + labs

DevSecOps Controls and Pipeline Security

Design the principles of DevSecOps Controls and Pipeline Security and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize DevSecOps Controls and Pipeline Security in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for DevSecOps Controls and Pipeline Security, then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for DevSecOps Controls and Pipeline Security 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 16 3 hours/week + labs

GitOps Workflows and Platform Operations

Design the principles of GitOps Workflows and Platform Operations and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize GitOps Workflows and Platform Operations in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for GitOps Workflows and Platform Operations, then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for GitOps Workflows and Platform Operations 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 17 3 hours/week + labs

Reliability Engineering and Incident Response

Design the principles of Reliability Engineering and Incident Response and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize Reliability Engineering and Incident Response in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for Reliability Engineering and Incident Response, then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for Reliability Engineering and Incident Response 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 18 3 hours/week + labs

FinOps, Capacity Planning, and Performance Tuning

Design the principles of FinOps, Capacity Planning, and Performance Tuning and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize FinOps, Capacity Planning, and Performance Tuning in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for FinOps, Capacity Planning, and Performance Tuning, then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for FinOps, Capacity Planning, and Performance Tuning 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 19 3 hours/week + labs

Capstone Platform Build

Design the principles of Capstone Platform Build and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize Capstone Platform Build in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for Capstone Platform Build, then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for Capstone Platform Build 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 20 3 hours/week + labs

Capstone Hardening and Executive Defense

Design the principles of Capstone Hardening and Executive Defense and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize Capstone Hardening and Executive Defense in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for Capstone Hardening and Executive Defense, then record rationale for stakeholder review.
Defend a portfolio-ready architecture decision record for Capstone Hardening and Executive Defense 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: CI/CD and Deployment Foundation

Implement a delivery foundation that builds, tests, versions, and deploys containerized services reliably.

Pipeline implementation with automated quality gates and release tagging
Deployment workflow with rollback verification and environment promotion policy
Technical rationale for tooling and architecture choices

Project 2: Infrastructure and Observability Expansion

Extend the platform with infrastructure lifecycle controls, monitoring, and reliability automation.

IaC stack with remote state controls and drift detection workflow
Monitoring and alerting evidence tied to platform service objectives
Trade-off review for reliability, complexity, and operating cost

Project 3: DevOps Platform Handover and Defense

Deliver a complete operations-ready DevOps platform package with hardening and governance evidence.

Executive and technical handover pack with runbooks and risk matrix
Incident response and recovery scenario demonstration
Roadmap for the next quarter: security, performance, and cost priorities

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 DevOps Engineering & Cloud Infrastructure

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