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Progressive Learning Tracks Β· 20 Min / Day

Quality Engineering
Hands-on Learning Tracks

Actionable daily roadmaps designed to help you transition into AI orchestration, automated BDD audits, and cloud quality engineering.

🌟 Recommended First Step⏱️ 20 min/day · 7 Days

Agentic QE Orchestrator (Days 1–7)

Never orchestrated an AI agent before? Start with Day 1 to bootstrap a local repository, write clean markdown test specifications, and direct AI developer agents inside a safe Git sandbox.

Active Course🌱 Beginner

Agentic QE Orchestrator

Learn to act as a manager of AI subordinates, directing workspace control and local validation loops.

Transition from manual QA clicks to orchestrating AI developer and runner agents. Focuses on Git-level workspace isolation, BDD decomposition prompting, state context caching, and autonomous repair loops.

Role:AI Workflow Orchestrator
Best For:QA Manual & Beginners
OrchestrationGit SandboxingBDD PromptingSelf-Healing
Course Duration⏱️ 7 Days · 20m/day
Launch Course β†’
Active Course⚑ Intermediate

Agentic QE Part 2: Enterprise CI/CD & Governance Extension

Master headless agent runners in GitHub Actions & ADO, automated PR BDD audits, policy gates, self-healing CI, and SOC2 ledgers.

Scale agentic orchestration into enterprise CI/CD pipelines. Learn headless CLI agent runners, dual pipeline automation (GitHub Actions + Azure DevOps), automated PR review gates, policy-as-code token caps ($0.50 budget), closed-loop self-healing test runners, interactive HITL approvals, and SOC2 compliance audit ledgers.

Role:Enterprise AI Quality Architect
Best For:SDETs & CI/CD Engineers
Headless RunnersGitHub ActionsAzure DevOpsPR BDD AuditsToken CapsSelf-Healing CISOC2 Ledgers
Course Duration⏱️ 7 Days Β· 20m/day (Days 8–14)
Launch Course β†’
Active Course⚑ IntermediateπŸ“„ Strategy Blueprint

Data Quality & AI/LLM Testing

Audit prompts, validate retrieval accuracy, design evaluation judges, and safety gates.

Master model evaluation and LLM ops. Focuses on testing prompt determinism, implementing LLM-as-a-Judge evaluations, measuring RAG accuracy (context precision and recall), prompt injections, and vector search audits.

Role:LLM Quality Architect
Best For:AI Quality Engineers
LLM EvaluationRAG TestingRed-TeamingVector DBs
Course Duration⏱️ 7 Days · 20m/day
Read Blueprint & Strategy β†’
Active CourseπŸ›οΈ AdvancedπŸ“„ Strategy Blueprint

AI-Driven Performance & FinOps

Leverage AI agents to analyze distributed tracing and tune cloud infrastructure cost profiles.

Use agents to monitor and automate system scaling and resource allocations. Focuses on load simulation scripts, analyzing telemetry metrics (Jaeger/Prometheus), auto-tuning database settings, and cloud cost FinOps.

Role:Performance Engineer & FinOps Auditor
Best For:Performance & FinOps Architects
Load SimulationDistributed TracingFinOpsChaos Eng
Course Duration⏱️ 7 Days · 20m/day
Read Blueprint & Strategy β†’
Planned Track⚑ Intermediate

AI-Assisted Security & Compliance

Audit dependencies, dynamic vulnerability scanners, and automated remediation gates.

Secure pipelines against supply-chain attacks and code vulnerabilities. Focuses on orchestrating static analysis, dynamic pentesting, auditing regulatory compliance (SOC2/GDPR), and auto-submitting pull requests for security fixes.

Role:SecOps & Compliance Quality Engineer
Best For:SecOps & Compliance Quality Engineers
SAST/DAST ScansSecrets AuditingSOC2/GDPR ComplianceAuto-PR Remediation
Course Duration⏱️ 7 Days · 20m/day
Active Course🌱 Beginner

DevOps & Infrastructure as Code (Terraform)

Master Terraform from basics to advanced using a zero-cost local Docker environment with daily 20-min hands-on labs.

Transition from manual infrastructure provisioning to automated Declarative IaC. Learn HCL syntax, provider configuration, local container orchestration, state file audits, modular design, security scanning, and CI/CD validation gates.

Role:DevOps & Infrastructure Quality Engineer
Best For:DevOps & IaC Beginners
TerraformDockerIaCHCLState AuditsCI/CD Gates
Course Duration⏱️ 7 Days · 20m/day
Launch Course β†’
COMING SOON⚑ Intermediate

DevOps & IaC Part 2: Kubernetes & GitOps Extension

Master Cloud-Native cluster provisioning, Kubernetes workload orchestration in HCL, Helm packaging, and automated GitOps CI/CD.

Extend your IaC mastery into Kubernetes & Cloud Infrastructure. Learn remote state locking (S3/DynamoDB), Kind/EKS cluster provisioning, HashiCorp Kubernetes & Helm HCL providers, multi-environment isolation, container security auditing (Checkov/Trivy), and GitOps pipelines (ArgoCD + GitHub Actions).

Role:Kubernetes & Cloud Infrastructure Quality Architect
Best For:Cloud & Kubernetes Architects
KubernetesHelm ProviderKind / EKSRemote StateGitOps (ArgoCD)Security Scans
Course Duration⏱️ 7 Days Β· 20m/day (Days 8–14)