Select your engineering career path and follow a structured, expert-curated roadmap that links directly to real course modules — no guesswork required.
Every path is built from existing SKILLY course modules — click any role to see its full learning roadmap.
Build CI/CD pipelines, automate infrastructure, containerize workloads, and monitor production systems.
Specialize in Azure-native pipelines, AKS deployments, Bicep IaC, and enterprise delivery workflows.
Own system reliability through SLOs, error budgets, observability stacks, and incident response engineering.
Design and manage cloud infrastructure across Azure, AWS, and GCP with Terraform automation.
Design enterprise-scale multi-cloud architectures, governance frameworks, and reliability strategies.
Build internal developer platforms enabling teams to self-serve infrastructure, pipelines, and observability.
Embed security into every delivery stage — from code scanning and SAST to pipeline security gates.
Build, maintain, and optimize automated workflows using Python, PowerShell, and AI-assisted tooling.
Own the build, packaging, versioning, and release process across multi-environment delivery pipelines.
Design automated testing strategies across unit, integration, security, and regression layers.
Diagnose and resolve production issues across cloud, containers, and observability platforms.
Build AI-ready data pipelines on Azure with MLOps, OpenAI integration, and cloud infrastructure.
Build production AI applications with Azure AI services, Azure OpenAI, containers, deployment pipelines, and observability.
Operationalize ML systems with reproducible environments, model deployment pipelines, governance, and production monitoring.
Apply machine learning and LLM workflows to observability, anomaly detection, alert intelligence, and incident response.
Design workflows that combine scripting, pipelines, AI services, and LLMs to automate operational and developer tasks.
Configure, secure, monitor, and troubleshoot IIS on Windows Server — from application pool management and SSL binding to PowerShell automation and production incident diagnosis.
Diagnose and resolve application-layer failures across cloud, containers, and observability platforms. The technical bridge between user-reported problems and engineering teams.
Own the OS layer across both platforms — provisioning, securing, monitoring, and maintaining servers in hybrid environments where Windows and Linux workloads run side by side.
Build, ship, and secure .NET applications on Azure with containers, CI/CD, and code quality gates.