Cloud Engineering Masterclass: AWS & Azure — Zero to Product

I've been building cloud systems for over a decade. And the single biggest gap I see in engineers who come through cloud certifications is this — they know the services, but they can't connect them into systems that actually work in production. They can tell you what S3 is.

They can't tell you why their Terraform state file got corrupted, how to debug a failing pod in EKS, or why their Lambda function times out under load. That gap is exactly what this course closes. This course covers AWS and Azure together — because that's how real companies work.

Your core infrastructure is probably on AWS. Your enterprise integrations are probably on Azure. Job descriptions in 2026 don't ask for one or the other.

They ask for both. So that's what we build. We start from first principles.

If you've never touched a cloud console, that's completely fine. If you're a developer who knows the basics but hasn't written Terraform or set up Kubernetes, this is built exactly for you. By the end you'll have deployed real applications, automated your infrastructure, built CI/CD pipelines, and understood how to keep a cloud environment secure and cost-efficient — not in theory, but in practice.

Every section ends with a hands-on project. Not a toy exercise — something you can open in an interview and walk through confidently. The capstone brings everything together into a production-grade, multi-tier application running on Kubernetes with automated deployments, proper monitoring, and security built in from the start.

A few things this course covers that most cloud courses skip completely:Cloud cost management. Most engineers have no idea what they're spending until the bill arrives. We cover rightsizing, reserved instances, savings plans, tagging strategies, and budget alerts that actually catch problems before they become expensive.

AI workloads on cloud infrastructure. AWS Bedrock, Azure OpenAI, managed vector databases, and a working RAG application deployed end to end. This is what employers are starting to ask about in 2026 and almost no cloud course covers it yet.

Security beyond IAM checkboxes. Least privilege done properly, secrets management with KMS and Key Vault, network segmentation, and how to audit your own environment before someone else does. PLC and serverless architecture as a system — not isolated services.

Lambda, Azure Functions, API Gateway, EventBridge, SQS — explained together so you understand how they connect, not just what each one does individually. This course is updated for 2026. Every section reflects what's actually in cloud job descriptions right now based on real market data.

If you want to pass an exam and forget everything a week later, there are faster courses for that. If you want to become a cloud engineer who can walk into a team and contribute from day one — this is the course.