12
role paths
Role-based certification paths
Choose the job role first, then follow the right certifications, lessons, labs, and proof.
These paths turn the broad certification catalog into guided journeys for real learner goals. Each role maps to existing tracks, exam order, practical labs, timeline phases, and portfolio evidence.
Optional voiceover / Narration
French audio requires a French voice installed in the browser or Windows. Until one is available, Daskerel will show the French transcript rather than read it with an English voice.
30
mapped tracks
69
certification steps
48
role labs
Learners aiming for solutions architect, cloud architect, or technical design roles.
Cloud Architect
Build from cloud fundamentals into professional architecture decisions across AWS, Azure, Google Cloud, governance, resilience, migration, and executive tradeoffs.
Certification order
- 01 AWS Certified Solutions Architect - Associate
- 02 AWS Certified Solutions Architect - Professional
- 03 Microsoft Azure Solutions Architect Expert
- 04 Google Professional Cloud Architect
- 05 Oracle Cloud Infrastructure Architect Professional
Core lab focus
- Multi-account landing zone review
- Hybrid network and DNS architecture
- Resilience, backup, and disaster recovery design
- Cost, security, and operations architecture decision record
Timeline
Foundation
Weeks 1-2
Cloud concepts, identity, networking, compute, storage, and shared responsibility.
Associate architecture
Weeks 3-6
Scenario-based AWS, Azure, and Google service selection with labs.
Professional design
Weeks 7-10
Landing zones, migration, governance, resilience, executive tradeoffs, and mock exams.
Portfolio proof
Weeks 11-12
Architecture review pack, diagrams, decision matrix, and interview story.
Recommended tracks
AWS / AssociateAWS Solutions Architect AssociateDesign resilient, secure, cost-aware AWS architectures with VPC, IAM, compute, storage, databases, monitoring, and disaster recovery patterns.AWS / Azure / Google Cloud / ProfessionalCloud Professional Solutions ArchitectPrepare for senior cloud architecture work across multi-account landing zones, hybrid networking, migration, security, resilience, cost governance, data platforms, and executive design decisions.Microsoft Azure / Power Platform / ProfessionalMicrosoft Cloud Engineering SpecialistBuild Microsoft cloud implementation depth across Azure development, security, DevOps, data engineering, monitoring, Power Platform automation, and Applied Skills-style project evidence.Google Cloud / ProfessionalGoogle Cloud Engineering SpecialistDeepen Google Cloud readiness across Cloud Developer, DevOps/SRE, Security, Network, Database, Workspace, Gemini, and Apigee-style API engineering paths.Oracle Cloud Infrastructure / ProfessionalOracle Cloud Infrastructure EngineerPrepare for Oracle Cloud Infrastructure foundations, architect, operations, security, networking, database, data, AI, and multicloud roles.
Portfolio proof
- Professional architecture decision matrix
- Landing zone diagram with identity, network, logging, policy, and workload boundaries
- Recovery and migration plan with risk, cost, and validation notes
Role capstone
Secure Multi-Account Landing Zone
Design a governed cloud foundation with identity, network segmentation, logging, policy, cost controls, workload boundaries, and migration readiness.
Open capstone projectLearners targeting cloud security, SOC cloud analyst, DevSecOps, or security architecture roles.
Cloud Security Engineer
Move from security fundamentals into cloud IAM, detection, governance, DevSecOps, incident response, and security architecture certifications.
Certification order
- 01 CompTIA Security+
- 02 AWS Certified Security - Specialty
- 03 Microsoft Security Operations Analyst Associate SC-200
- 04 Microsoft Cybersecurity Architect Expert SC-100
- 05 Google Professional Security Engineer
- 06 Certified Kubernetes Security Specialist
Core lab focus
- Cloud IAM least-privilege review
- SIEM detection and incident timeline
- CI/CD security gate with SAST, SCA, IaC, and container scanning
- Zero Trust architecture review
Timeline
Security baseline
Weeks 1-2
Threats, identity, logging, network security, and incident response basics.
Cloud controls
Weeks 3-5
IAM, key management, secrets, audit logs, posture management, and policy.
Detection and DevSecOps
Weeks 6-9
SIEM/SOAR, vulnerability response, supply-chain security, and runtime evidence.
Architecture review
Weeks 10-12
Security design, governance, case studies, mock tests, and portfolio package.
Recommended tracks
Security / Cloud / SpecialistCyber Security EngineerPrepare for modern security roles covering IAM, network security, vulnerability management, monitoring, incident response, cloud security, and governance.AWS / Azure / Google Cloud / SIEM / SpecialistCloud Security Operations EngineerOperate cloud security with Zero Trust, IAM attack paths, SIEM/SOAR, detection engineering, vulnerability response, secrets management, and incident runbooks.OWASP / Cloud Native / DevSecOps / ProfessionalDevSecOps and Application Security EngineerSecure the software delivery lifecycle with OWASP, API security, threat modeling, SAST, DAST, SCA, IaC scanning, container security, SBOMs, signing, CI/CD gates, and release evidence.Microsoft Azure / Microsoft Fabric / ProfessionalAzure Network Security and Data SpecialistPrepare for advanced Microsoft role certifications across networking, cybersecurity architecture, Fabric analytics, Fabric data engineering, database administration, hybrid Windows Server, virtual desktop, and SAP workloads.Google Cloud / Google Workspace / ProfessionalGoogle Security Operations Workspace and Data CertificationsCover newer and specialist Google certification paths for Security Operations Engineer, Workspace Administrator, Data Practitioner, and professional cloud operations.CompTIA / FoundationCompTIA IT, Cloud, and Security FoundationsPrepare for vendor-neutral CompTIA certifications with practical IT support, networking, cloud, Linux, security, operations, troubleshooting, and evidence-led career readiness.
Portfolio proof
- Security baseline mapped to identity, network, workload, data, and monitoring controls
- Incident response timeline with detection, containment, and recovery evidence
- Secure delivery pipeline with signed artifact and exception workflow
Role capstone
Cloud Security Incident Response
Investigate a simulated cloud credential exposure with containment, evidence review, detection improvement, stakeholder update, and prevention plan.
Open capstone projectLearners moving into DevOps, cloud automation, release engineering, or SRE-adjacent work.
DevOps Engineer
Prepare for CI/CD, infrastructure as code, containers, automation, observability, release governance, and production operations roles.
Certification order
- 01 GitHub Foundations or GitHub Actions
- 02 HashiCorp Terraform Associate
- 03 AWS Certified Developer - Associate
- 04 AWS Certified CloudOps Engineer - Associate
- 05 AWS Certified DevOps Engineer - Professional
- 06 Docker Certified Associate
- 07 HashiCorp Terraform Professional
Core lab focus
- CI/CD pipeline with approval, rollback, and evidence
- Terraform module, state, drift, and policy lab
- Container build, scan, sign, and deploy workflow
- Release incident and rollback runbook
Timeline
Delivery foundations
Weeks 1-2
Git, branching, CI basics, artifacts, environments, and release safety.
Automation
Weeks 3-6
Terraform, CloudFormation, CDK, secrets, state, and reusable modules.
Containers and operations
Weeks 7-9
Docker, registries, observability, health checks, and rollback.
Professional readiness
Weeks 10-12
Mock exams, incident stories, pipeline proof, and portfolio review.
Recommended tracks
DevOps / Cloud / ProfessionalDevOps EngineerMaster CI/CD, infrastructure as code, containers, observability, release strategies, automation, reliability, and cloud delivery practices.HashiCorp / AssociateTerraform EngineerUse Terraform for reusable infrastructure, remote state, modules, workspaces, policy, and AWS deployment pipelines.AWS / SpecialistAWS CloudFormation and CDK IaC EngineerBuild AWS infrastructure as code with CloudFormation, SAM, CDK, change sets, nested stacks, constructs, pipelines, drift detection, policy guardrails, rollback, and production evidence.Docker / OCI / Cloud Native / SpecialistDocker Container EngineeringLearn Docker from first principles through production-ready container builds, Dockerfiles, Compose, networking, volumes, registries, security, CI/CD, observability, troubleshooting, and Kubernetes handoff evidence.GitHub / SpecialistGitHub Platform and Security CertificationsPrepare for GitHub Foundations, Actions, Advanced Security, Administration, and Copilot certification readiness with repository, automation, security, governance, and AI collaboration evidence.HashiCorp / ProfessionalHashiCorp Infrastructure and Security AutomationPrepare for Terraform Associate, Terraform Professional, Vault Associate, Vault Operations Professional, and Consul Associate readiness across multi-cloud infrastructure and security automation.
Portfolio proof
- Repository with pipeline runs, environment gates, deployment logs, and rollback notes
- Infrastructure module with plan output, state decision, policy check, and cleanup proof
- Container evidence pack with Dockerfile, scan result, SBOM, registry tag, and runtime validation
Role capstone
Production DevOps Delivery Platform
Build a release workflow with source control, CI/CD checks, infrastructure as code, container evidence, approvals, rollback, and observability.
Open capstone projectLearners targeting platform engineering, Kubernetes administration, or cloud-native operations roles.
Platform Engineer
Build Kubernetes, Linux, automation, GitOps, policy, observability, and internal developer platform readiness.
Certification order
- 01 Linux Foundation Kubernetes and Cloud Native Associate
- 02 Certified Kubernetes Administrator
- 03 Certified Kubernetes Application Developer
- 04 Certified Kubernetes Security Specialist
- 05 Red Hat OpenShift Administration
Core lab focus
- Kubernetes cluster operations and troubleshooting
- GitOps deployment with policy and rollback
- Observability baseline for workloads and nodes
- OpenShift or platform service catalog design
Timeline
Runtime foundations
Weeks 1-3
Linux, containers, networking, storage, and Kubernetes primitives.
Cluster operations
Weeks 4-7
Scheduling, services, ingress, storage, RBAC, upgrades, and troubleshooting.
Platform capabilities
Weeks 8-10
GitOps, policy, observability, secrets, developer workflows, and security.
Exam and portfolio
Weeks 11-12
Performance-style practice, incident simulations, and platform proof.
Recommended tracks
CNCF / Linux Foundation / Kubernetes / ProfessionalCloud Native Kubernetes CertificationsPrepare for Kubernetes and cloud native certifications across administrator, developer, security, GitOps, observability, networking, service mesh, and platform engineering skills.CNCF / Red Hat / Linux / SpecialistKubernetes, Ansible, and LinuxBuild the operating-system and platform foundation behind production cloud environments.Docker / OCI / Cloud Native / SpecialistDocker Container EngineeringLearn Docker from first principles through production-ready container builds, Dockerfiles, Compose, networking, volumes, registries, security, CI/CD, observability, troubleshooting, and Kubernetes handoff evidence.HashiCorp / AssociateTerraform EngineerUse Terraform for reusable infrastructure, remote state, modules, workspaces, policy, and AWS deployment pipelines.IBM Cloud / Red Hat / ProfessionalIBM Cloud and Red Hat OpenShift EngineerBuild hybrid cloud readiness across IBM Cloud, Red Hat OpenShift, containers, automation, security, data, AI, and regulated enterprise operations.
Portfolio proof
- Cluster operations notebook with commands, outputs, and troubleshooting decisions
- GitOps repository with deployment, policy, rollback, and environment evidence
- Platform capability map for onboarding applications safely
Role capstone
Kubernetes Platform Service
Design an internal platform service with Kubernetes deployment patterns, GitOps, policy, observability, secrets, and developer handoff.
Open capstone projectLearners targeting FinOps, cloud governance, cost management, or cloud operations analyst roles.
FinOps Analyst
Connect cost visibility, budgets, tagging, unit economics, optimization, chargeback, SaaS spend, and engineering tradeoffs.
Certification order
- 01 FinOps Certified Practitioner
- 02 FinOps Certified Professional
- 03 AWS Cloud Financial Management learning path
- 04 Azure Cost Management and governance skills
- 05 Google Cloud cost optimization skills
Core lab focus
- Tagging and allocation model
- Budget alert and anomaly triage
- Rightsizing and commitment recommendation review
- FOCUS billing data analysis
Timeline
Cost foundations
Weeks 1-2
Billing concepts, tagging, allocation, budgets, and cloud economics.
Optimization
Weeks 3-5
Rightsizing, commitments, storage lifecycle, data transfer, and waste reduction.
Governance
Weeks 6-8
Showback, chargeback, team reporting, SaaS spend, and policy controls.
Executive proof
Weeks 9-10
Savings recommendation, risk note, owner plan, and KPI dashboard.
Recommended tracks
FinOps Foundation / Cloud Providers / SpecialistFinOps and Cloud Governance CertificationsPrepare for cloud financial management, governance, tagging, budgets, optimization, showback, unit economics, procurement, and executive reporting.AWS / Microsoft / Google / Oracle / Alibaba / IBM / CNCF / HashiCorp / CompTIA / ProfessionalGlobal Cloud Certification LibraryMaintain a broad certification roadmap across major cloud providers, cloud-native platforms, infrastructure automation, security, data, AI, FinOps, and operations credentials.AWS / Azure / Google Cloud / ProfessionalCloud Professional Solutions ArchitectPrepare for senior cloud architecture work across multi-account landing zones, hybrid networking, migration, security, resilience, cost governance, data platforms, and executive design decisions.Databricks / Snowflake / Microsoft Fabric / Google Cloud / AWS / Azure / ProfessionalData Platform CertificationsPrepare for cloud data platform certifications across Databricks, Snowflake, Microsoft Fabric, AWS, Azure, Google Cloud, analytics engineering, governance, and ML platform foundations.
Portfolio proof
- Cost allocation workbook with tag quality and ownership rules
- Optimization backlog with savings, risk, owner, rollback, and validation signal
- Executive FinOps report using unit cost and business outcome language
Role capstone
FinOps Optimization Review
Create an optimisation report with allocation, budgets, waste findings, rightsizing, commitment planning, risk notes, and executive recommendations.
Open capstone projectLearners targeting data engineer, analytics engineer, ML engineer, AI engineer, or LLMOps roles.
Data and AI Engineer
Prepare for cloud data engineering, analytics platforms, machine learning, generative AI, governance, and LLMOps work.
Certification order
- 01 AWS Certified Data Engineer - Associate
- 02 AWS Certified Machine Learning Engineer - Associate
- 03 AWS Certified AI Practitioner
- 04 AWS Certified Generative AI Developer - Professional
- 05 Microsoft Fabric Analytics Engineer Associate
- 06 Google Professional Data Engineer
- 07 Databricks Data Engineer
- 08 Google Professional Machine Learning Engineer
Core lab focus
- Batch and streaming data pipeline
- Lakehouse governance and quality checks
- Model deployment and monitoring workflow
- RAG or AI assistant evaluation with risk controls
Timeline
Data foundations
Weeks 1-3
Storage, databases, SQL, pipelines, orchestration, and data quality.
Cloud analytics
Weeks 4-7
Warehouses, lakehouses, streaming, governance, lineage, and performance.
AI engineering
Weeks 8-10
ML services, prompt workflows, RAG, evaluation, monitoring, and responsible AI.
Certification proof
Weeks 11-12
Mock domains, weak areas, project evidence, and interview stories.
Recommended tracks
AWS / Azure / Google Cloud / Snowflake / SpecialistCloud Data EngineerDesign cloud data platforms with ingestion, storage zones, Spark, streaming, warehouses, orchestration, data quality, governance, privacy, and cost controls.Databricks / Snowflake / Microsoft Fabric / Google Cloud / AWS / Azure / ProfessionalData Platform CertificationsPrepare for cloud data platform certifications across Databricks, Snowflake, Microsoft Fabric, AWS, Azure, Google Cloud, analytics engineering, governance, and ML platform foundations.AWS / Microsoft / Google / Oracle / IBM / Databricks / Responsible AI / ProfessionalAI Governance LLMOps and Responsible AI CertificationsPrepare learners for generative AI, AI governance, responsible AI, LLMOps, model evaluation, RAG, agents, safety, compliance, and cloud AI certification paths.AWS / ProfessionalAWS Cloud Engineering SpecialistExtend AWS architecture knowledge into hands-on developer, operations, security, DevOps, data, AI, and production support skills aligned to high-demand AWS role certifications.Microsoft Azure / Power Platform / ProfessionalMicrosoft Cloud Engineering SpecialistBuild Microsoft cloud implementation depth across Azure development, security, DevOps, data engineering, monitoring, Power Platform automation, and Applied Skills-style project evidence.Google Cloud / ProfessionalGoogle Cloud Engineering SpecialistDeepen Google Cloud readiness across Cloud Developer, DevOps/SRE, Security, Network, Database, Workspace, Gemini, and Apigee-style API engineering paths.
Portfolio proof
- Data pipeline with source, transform, quality, lineage, and dashboard evidence
- Model or RAG workflow with evaluation, security, privacy, and monitoring notes
- Governance checklist for access, retention, sensitivity, and auditability
Role capstone
Data and AI Governance Workflow
Build a governed data and AI workflow with ingestion, transformation, quality checks, model or RAG evaluation, monitoring, privacy, and risk controls.
Open capstone projectLearners targeting network engineer, cloud network engineer, hybrid connectivity, or infrastructure roles.
Network and Hybrid Cloud Engineer
Build routing, switching, cloud networking, hybrid connectivity, network security, automation, and provider-specific network certification readiness.
Certification order
- 01 Cisco CCNA
- 02 Cisco CCNP Enterprise
- 03 AWS Certified Advanced Networking - Specialty
- 04 Azure Network Engineer Associate AZ-700
- 05 Google Professional Cloud Network Engineer
- 06 Oracle Cloud Infrastructure Networking Professional
Core lab focus
- Subnetting, routing, and firewall troubleshooting
- Hybrid cloud connectivity design
- DNS, load balancing, and private access review
- Network automation and evidence capture
Timeline
Network fundamentals
Weeks 1-4
OSI, TCP/IP, subnetting, routing, switching, wireless, and troubleshooting.
Cloud networking
Weeks 5-8
VPC/VNet design, firewalls, NAT, DNS, private endpoints, and load balancing.
Hybrid and automation
Weeks 9-11
VPN, direct connectivity, route propagation, assurance, and API-driven changes.
Readiness review
Week 12
Topology drills, failure analysis, mock domains, and portfolio cleanup.
Recommended tracks
Cisco / AssociateCisco Network EngineerLearn routing, switching, subnetting, wireless, security, automation basics, and cloud connectivity foundations.Cisco / ProfessionalCisco CCNP EnterprisePrepare for CCNP Enterprise with ENCOR core knowledge, advanced routing, enterprise infrastructure, assurance, security, automation, and hands-on network design labs.AWS / ProfessionalAWS Cloud Engineering SpecialistExtend AWS architecture knowledge into hands-on developer, operations, security, DevOps, data, AI, and production support skills aligned to high-demand AWS role certifications.Microsoft Azure / Microsoft Fabric / ProfessionalAzure Network Security and Data SpecialistPrepare for advanced Microsoft role certifications across networking, cybersecurity architecture, Fabric analytics, Fabric data engineering, database administration, hybrid Windows Server, virtual desktop, and SAP workloads.Google Cloud / ProfessionalGoogle Cloud Engineering SpecialistDeepen Google Cloud readiness across Cloud Developer, DevOps/SRE, Security, Network, Database, Workspace, Gemini, and Apigee-style API engineering paths.Oracle Cloud Infrastructure / ProfessionalOracle Cloud Infrastructure EngineerPrepare for Oracle Cloud Infrastructure foundations, architect, operations, security, networking, database, data, AI, and multicloud roles.
Portfolio proof
- Hybrid topology diagram with route tables, DNS, security boundaries, and failover notes
- Troubleshooting packet or command evidence with root cause and fix
- Network change plan with validation and rollback
Role capstone
Hybrid Cloud Network Design
Design and troubleshoot a hybrid network with IP plan, routing, DNS, private access, firewall controls, packet evidence, and cloud connectivity.
Open capstone projectCareer switchers and early-career learners aiming for support, junior cloud, or operations roles.
Cloud Support Engineer
Turn IT, Linux, networking, cloud fundamentals, troubleshooting, security, and customer communication into entry-level cloud operations readiness.
Certification order
- 01 CompTIA A+
- 02 CompTIA Network+
- 03 AWS Certified Cloud Practitioner
- 04 AWS Certified CloudOps Engineer - Associate
- 05 Microsoft Azure Fundamentals
- 06 CompTIA Cloud+
- 07 Linux+ or Kubernetes and Cloud Native Associate
Core lab focus
- Troubleshooting ticket and customer update
- Linux command and log review
- Cloud identity, storage, compute, and network checks
- Security baseline and escalation note
Timeline
IT foundations
Weeks 1-3
Operating systems, tickets, networking basics, security hygiene, and communication.
Cloud basics
Weeks 4-6
AWS, Azure, or Google fundamentals, billing, IAM, compute, storage, and network checks.
Operations habits
Weeks 7-9
Linux, logs, monitoring, backup, incidents, and escalation evidence.
Job readiness
Weeks 10-12
Mock tests, support scenarios, CV statements, and interview stories.
Recommended tracks
CompTIA / FoundationCompTIA IT, Cloud, and Security FoundationsPrepare for vendor-neutral CompTIA certifications with practical IT support, networking, cloud, Linux, security, operations, troubleshooting, and evidence-led career readiness.AWS / ProfessionalAWS Cloud Engineering SpecialistExtend AWS architecture knowledge into hands-on developer, operations, security, DevOps, data, AI, and production support skills aligned to high-demand AWS role certifications.Microsoft Azure / Power Platform / ProfessionalMicrosoft Cloud Engineering SpecialistBuild Microsoft cloud implementation depth across Azure development, security, DevOps, data engineering, monitoring, Power Platform automation, and Applied Skills-style project evidence.Google Cloud / AssociateGoogle Cloud EngineerBuild core GCP skills across IAM, networking, Compute Engine, GKE, Cloud Run, storage, databases, and operations.CNCF / Red Hat / Linux / SpecialistKubernetes, Ansible, and LinuxBuild the operating-system and platform foundation behind production cloud environments.
Portfolio proof
- Resolved ticket pack with symptom, checks, root cause, fix, and customer update
- Cloud support checklist covering identity, compute, network, storage, logs, and billing
- Entry-level portfolio with screenshots, command output, and lessons learned
Role capstone
Cloud Support Ticket Portfolio
Resolve a realistic support ticket pack covering identity, compute, storage, network, logs, billing, security baseline, and customer communication.
Open capstone projectLearners targeting cloud developer, backend developer, serverless developer, or application modernization roles.
Cloud Application Developer
Build secure cloud-native applications with APIs, serverless services, managed databases, CI/CD, identity, observability, and release evidence.
Certification order
- 01 AWS Certified Developer - Associate
- 02 Microsoft Azure AI Cloud Developer transition pathway
- 03 Google Associate Cloud Engineer
- 04 GitHub Actions
- 05 AWS Certified Generative AI Developer - Professional
Core lab focus
- Serverless API with identity and data persistence
- Managed database integration and migration note
- Application observability and error triage
- Secure release pipeline and rollback evidence
Timeline
Application foundations
Weeks 1-2
APIs, auth, databases, cloud SDKs, and deployment basics.
Cloud-native build
Weeks 3-6
Serverless, containers, managed data services, secrets, and integration testing.
Production readiness
Weeks 7-9
CI/CD, observability, rollback, performance, and secure configuration.
Portfolio proof
Weeks 10-12
Project documentation, evidence pack, certification domains, and interview story.
Recommended tracks
AWS / ProfessionalAWS Cloud Engineering SpecialistExtend AWS architecture knowledge into hands-on developer, operations, security, DevOps, data, AI, and production support skills aligned to high-demand AWS role certifications.Microsoft Azure / Power Platform / ProfessionalMicrosoft Cloud Engineering SpecialistBuild Microsoft cloud implementation depth across Azure development, security, DevOps, data engineering, monitoring, Power Platform automation, and Applied Skills-style project evidence.Google Cloud / ProfessionalGoogle Cloud Engineering SpecialistDeepen Google Cloud readiness across Cloud Developer, DevOps/SRE, Security, Network, Database, Workspace, Gemini, and Apigee-style API engineering paths.DevOps / Cloud / ProfessionalDevOps EngineerMaster CI/CD, infrastructure as code, containers, observability, release strategies, automation, reliability, and cloud delivery practices.GitHub / SpecialistGitHub Platform and Security CertificationsPrepare for GitHub Foundations, Actions, Advanced Security, Administration, and Copilot certification readiness with repository, automation, security, governance, and AI collaboration evidence.
Portfolio proof
- Application repository with API, data, identity, tests, and deployment evidence
- Observability record with logs, metrics, trace or error triage notes
- Secure release evidence with rollback, secrets handling, and change notes
Role capstone
Production Cloud Application
Build and release a secure cloud-native application with an API, managed data, identity, automated tests, deployment controls, observability, and rollback evidence.
Open capstone projectLearners aiming for SRE, observability engineer, production operations, or reliability-focused platform roles.
SRE and Observability Engineer
Prepare for reliability engineering, monitoring, SLOs, incident response, capacity, automation, and platform operations roles.
Certification order
- 01 Linux Foundation Kubernetes and Cloud Native Associate
- 02 Certified Kubernetes Administrator
- 03 AWS Certified CloudOps Engineer - Associate
- 04 Google Professional Cloud DevOps Engineer
- 05 HashiCorp Terraform Associate
Core lab focus
- Service-level objective and error-budget model
- Observability dashboard with alert triage
- Incident simulation and post-incident review
- Capacity and resilience validation
Timeline
Reliability foundations
Weeks 1-2
SLIs, SLOs, error budgets, monitoring, alert hygiene, and incident roles.
Observability build
Weeks 3-6
Metrics, logs, traces, dashboards, synthetic checks, and runbooks.
Incident and resilience
Weeks 7-10
Failure drills, capacity, rollback, postmortems, and automation.
Readiness proof
Weeks 11-12
Reliability evidence pack, mock domains, and interview scenarios.
Recommended tracks
DevOps / Cloud / ProfessionalDevOps EngineerMaster CI/CD, infrastructure as code, containers, observability, release strategies, automation, reliability, and cloud delivery practices.CNCF / Linux Foundation / Kubernetes / ProfessionalCloud Native Kubernetes CertificationsPrepare for Kubernetes and cloud native certifications across administrator, developer, security, GitOps, observability, networking, service mesh, and platform engineering skills.CNCF / Red Hat / Linux / SpecialistKubernetes, Ansible, and LinuxBuild the operating-system and platform foundation behind production cloud environments.Docker / OCI / Cloud Native / SpecialistDocker Container EngineeringLearn Docker from first principles through production-ready container builds, Dockerfiles, Compose, networking, volumes, registries, security, CI/CD, observability, troubleshooting, and Kubernetes handoff evidence.HashiCorp / ProfessionalHashiCorp Infrastructure and Security AutomationPrepare for Terraform Associate, Terraform Professional, Vault Associate, Vault Operations Professional, and Consul Associate readiness across multi-cloud infrastructure and security automation.
Portfolio proof
- SLO and error-budget pack with alert policy and escalation notes
- Observability dashboard evidence with triage and remediation steps
- Incident report with timeline, customer impact, root cause, and prevention actions
Role capstone
Service Reliability and Observability Review
Operate a simulated production service using SLIs, SLOs, error budgets, dashboards, alerts, incident response, capacity evidence, and prevention actions.
Open capstone projectLearners targeting cloud governance, risk, compliance, audit, security assurance, or platform control roles.
Cloud Governance, Risk, and Compliance Analyst
Connect cloud governance, policy, risk assessment, evidence collection, audit readiness, data protection, and management reporting.
Certification order
- 01 CompTIA Security+
- 02 Microsoft Security, Compliance, and Identity Fundamentals SC-900
- 03 Microsoft Cybersecurity Architect Expert SC-100
- 04 AWS Certified Security - Specialty
- 05 FinOps Certified Practitioner
Core lab focus
- Cloud control register and evidence map
- Policy exception and risk acceptance workflow
- Data protection and access review pack
- Audit-ready management report
Timeline
Governance baseline
Weeks 1-2
Risk language, cloud controls, shared responsibility, privacy, and audit evidence.
Control operations
Weeks 3-6
Policy, access reviews, exceptions, logging, backup, and vendor-aligned evidence.
Assurance reporting
Weeks 7-9
Risk registers, remediation plans, control owners, and stakeholder communication.
Portfolio assurance
Weeks 10-12
Audit pack, management report, interview scenarios, and certification mapping.
Recommended tracks
FinOps Foundation / Cloud Providers / SpecialistFinOps and Cloud Governance CertificationsPrepare for cloud financial management, governance, tagging, budgets, optimization, showback, unit economics, procurement, and executive reporting.Security / Cloud / SpecialistCyber Security EngineerPrepare for modern security roles covering IAM, network security, vulnerability management, monitoring, incident response, cloud security, and governance.AWS / Azure / Google Cloud / SIEM / SpecialistCloud Security Operations EngineerOperate cloud security with Zero Trust, IAM attack paths, SIEM/SOAR, detection engineering, vulnerability response, secrets management, and incident runbooks.AWS / Microsoft / Google / Oracle / Alibaba / IBM / CNCF / HashiCorp / CompTIA / ProfessionalGlobal Cloud Certification LibraryMaintain a broad certification roadmap across major cloud providers, cloud-native platforms, infrastructure automation, security, data, AI, FinOps, and operations credentials.AWS / Microsoft / Google / Oracle / IBM / Databricks / Responsible AI / ProfessionalAI Governance LLMOps and Responsible AI CertificationsPrepare learners for generative AI, AI governance, responsible AI, LLMOps, model evaluation, RAG, agents, safety, compliance, and cloud AI certification paths.
Portfolio proof
- Cloud control register mapped to evidence, owner, risk, and review frequency
- Risk acceptance and exception workflow with approval and expiry notes
- Management-ready assurance report with gaps, remediation, and residual risk
Role capstone
Cloud Governance Assurance Pack
Create an audit-ready cloud assurance pack with control ownership, evidence mapping, risk assessment, policy exceptions, access review, data protection, and management reporting.
Open capstone projectLearners targeting migration engineer, cloud consultant, infrastructure modernization, or hybrid transformation roles.
Cloud Migration Engineer
Plan and execute migration discovery, landing zones, dependency mapping, data movement, cutover, validation, rollback, and post-migration operations.
Certification order
- 01 AWS Certified Solutions Architect - Associate
- 02 Microsoft Azure Administrator Associate AZ-104
- 03 Google Associate Cloud Engineer
- 04 AWS Certified Solutions Architect - Professional
- 05 Google Professional Cloud Architect
Core lab focus
- Application discovery and dependency map
- Migration wave and cutover plan
- Data migration validation and rollback model
- Post-migration operations handover
Timeline
Discovery
Weeks 1-2
Application inventory, dependencies, risk, owners, data, and migration strategy.
Foundation and movement
Weeks 3-6
Landing zone, network, identity, data movement, and workload migration patterns.
Cutover and validation
Weeks 7-10
Testing, performance, rollback, security validation, and stakeholder communication.
Operate and prove
Weeks 11-12
Handover, monitoring, cost review, lessons learned, and portfolio evidence.
Recommended tracks
AWS / Azure / Google Cloud / ProfessionalCloud Professional Solutions ArchitectPrepare for senior cloud architecture work across multi-account landing zones, hybrid networking, migration, security, resilience, cost governance, data platforms, and executive design decisions.AWS / AssociateAWS Solutions Architect AssociateDesign resilient, secure, cost-aware AWS architectures with VPC, IAM, compute, storage, databases, monitoring, and disaster recovery patterns.Microsoft Azure / Power Platform / ProfessionalMicrosoft Cloud Engineering SpecialistBuild Microsoft cloud implementation depth across Azure development, security, DevOps, data engineering, monitoring, Power Platform automation, and Applied Skills-style project evidence.Google Cloud / ProfessionalGoogle Cloud Engineering SpecialistDeepen Google Cloud readiness across Cloud Developer, DevOps/SRE, Security, Network, Database, Workspace, Gemini, and Apigee-style API engineering paths.
Portfolio proof
- Migration assessment with dependency map, wave plan, risk, and owner model
- Cutover and rollback plan with validation checks and communication timeline
- Post-migration operations report with monitoring, cost, and support handover
Role capstone
Cloud Migration Wave Delivery
Plan and validate a cloud migration wave from discovery through landing-zone readiness, dependency mapping, data movement, cutover, rollback, and operations handoff.
Open capstone project