Real-world references from a cloud practitioner. Cheatsheets, workflows, and quick guides built from hands-on experience.
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The post-shakeup guide to Azure certifications. Microsoft retired AZ-204, AZ-500, AI-102, and more in 2026 and replaced them with AI-first exams. Here's every track, every replacement, and what to take next. From a cloud architect who has passed 10+ Microsoft exams.
Ten ordered stages, five steps each, from picking a cloud to surviving your first 90 days. Six stages have labs you can run instead of reading.
The AZ-104 Azure Administrator exam on one scannable page: the five skill areas and weights, the commands worth knowing by heart, the comparisons the exam keeps testing, what is not in the outline, and a lab for every area.
The AI-200 Azure AI Cloud Developer Associate exam on one scannable page: what changed from AZ-204, the four skill areas and their weights, the services that matter, Cosmos DB vector search essentials, what to skip, a four-week plan and where to practise.
Six cloud roles, one project each that proves you can do the job. Build steps, what done looks like, the evidence to save, the labs that cover the pieces, and the interview questions it lets you answer.
One lookup table: find the job you have today and get the cloud role to aim at first, why your skills transfer, the gap to close, and the first step to take this week.
Tick-box path into Azure cloud security for 2027: foundation checks, one lane (SC-300, SC-500 or SC-200), a proof project, exam readiness, then SC-100 or SC-401. Every box is something you can do and verify.
The whole Azure data engineer path on one page. DP-203 is gone, DP-700 covers Fabric, DP-750 covers Databricks. Five shared skills with readiness checks, how to pick a platform, a Fabric-to-Databricks term map, a 7-step medallion project and the cert comparison.
For each cloud role, the free and no-card ways to get real hands-on time: what each option gives you, where it runs out, and what to build with it. Plus the settings that stop a free trial turning into a bill.
The five AI roles showing up most in cloud job postings, what each one actually does day to day, the skills behind them, and the certifications that map to each. Written for people deciding what to learn next.
A complete, hands-on learning roadmap for anyone starting fresh in cloud. Prerequisites, step-by-step phases, Microsoft Learn modules, labs, and career progression - everything you need to go from zero to Azure Cloud Engineer.
An honest, experience-based guide to every Azure certification - which ones matter, what order to take them, and what employers actually care about. From an MCT who's passed them all.
Five Azure AI projects you can build and demo in a weekend each: chat over your own documents, a support bot with human handoff, a cloud bill explainer, an MCP server, and an invoice reader. Services, build steps, code, and the gotchas that cost me time.
The Git commands and the branch discipline that infrastructure roles assume you already have, written for someone moving toward a first cloud engineer or junior sysadmin job.
kubectl organized by what you're doing, not alphabetically. Context, debugging, imperative vs declarative, rollouts, and the traps that waste an afternoon.
The Bicep syntax surface on one page: file shape, parameters, decorators, resources, modules, loops, scopes, functions, and the traps that actually break deploys.
Seventeen CloudLearn labs, in order: first apply, providers, variables, state, modules, then a real Azure stack. Azure and AWS. Share any lab from this page.
Four cloud skills that show up in nearly every mid-level cloud job posting - architecture, infrastructure as code, containers, and automation. What each one means in practice, what to build, and the labs to build it in.
Four portfolio projects that cover what cloud and DevOps job postings actually ask for - a deployed web app, infrastructure as code, a CI/CD pipeline, and Kubernetes. Architecture, tools, and the labs to build each one.
All 14 built-in AVD roles mapped to the jobs they're actually for: helpdesk, session host ops, app publishing, autoscale, and Start VM on Connect. Plus the role pairings and scope rules that cause most permission errors. From someone who has deployed AVD for multiple enterprises.
Every documented limit for Copilot Studio knowledge sources in one place: file sizes, the 7 MB SharePoint trap, sync timing, silent failures, and how chunking actually works. Collected from the official docs and tested in real agent builds.
How I use Claude Code for day-to-day Azure work - debugging deployments, writing Bicep, decoding error messages, and exploring unfamiliar services without reading 40 docs pages.
A structured, hands-on learning path for Azure Bicep. Five phases that take you from writing your first template to managing production infrastructure with deployment stacks, conditions, and loops.
Four real Azure projects you can build for less than a dollar each - and put on your resume tomorrow. Each one demonstrates skills employers actually ask about in interviews.
The five most common Claude Code setup mistakes that burn through tokens, produce generic output, and make every session feel like starting from scratch. Each one is fixable in under 10 minutes.
How I set up Claude Code as a full content and automation engine - custom skills, MCP servers, voice files, vault-first persistence, and the router pattern that replaced 20 separate commands with 6.
Behind the scenes of my lab-building workflow - scaffolding Bicep templates, writing step-by-step instructions, generating exam questions, and building validation scripts with Claude Code.
Everything you need to format, filter, and control PowerShell output - Format-Table, Format-List, Format-Wide, Format-Hex, Select-Object, Out-GridView, and more. Practical examples, full parameter coverage, calculated properties, and real-world patterns for daily scripting.
Every Terraform command you need, organized by workflow stage. A practical reference for DevOps engineers and cloud practitioners.
Every Azure CLI command you'll actually use, organized by resource type. A practical reference for cloud engineers, administrators, and anyone working in Azure daily.
A curated resource guide covering the most in-demand tech skills for 2026 - from AI-native development and cloud computing to quantum computing and cybersecurity.
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