Course Library

Cloud Fundamentals

DevOps & Cloud

Understand cloud computing from scratch — what it is, why it matters, and the foundational AWS services every engineer must know.

AWS Deep Dive

DevOps & Cloud

Go beyond the basics — master AWS networking, production-grade compute at scale, storage and databases, and CloudWatch observability.

Linux

Infrastructure

Master Linux from scratch — kernel basics, filesystem navigation, file operations, text processing, and system administration.

DevOps Fundamentals

DevOps & Cloud

An introduction to the DevOps mindset — what it is, why it matters, and how modern engineering teams work.

Git & GitHub

DevOps & Cloud

Master version control with Git — branching, merging, collaboration workflows, and GitHub.

Automate builds, tests, and deployments with GitHub Actions CI/CD pipelines.

Docker

Infrastructure

Build, ship, and run containerized applications with Docker — images, containers, Dockerfiles, and more.

Observe, alert, and debug production systems with Prometheus, Grafana, and modern monitoring practices.

Kubernetes

Infrastructure

Master container orchestration with Kubernetes — architecture, workloads, storage, networking, RBAC, and production operations.

EKS

DevOps & Cloud

Run Kubernetes on AWS with Amazon EKS — cluster creation, workload deployment, ALB Ingress, IRSA, Fargate, Cluster Autoscaler, and CloudWatch monitoring.

Terraform

Infrastructure

Master Infrastructure as Code with Terraform — from HCL basics to advanced modules, workspaces, and production AWS deployments.

Generative AI

AI

Understand how generative AI works, master prompting, explore key tools, and apply AI in real engineering workflows.

AI Agents

AI

Use, configure, and direct AI agents — from the tools that exist today to building custom agents with tool calling.

MCP

AI

Master Model Context Protocol — extend agents beyond local files to access GitHub, Slack, databases, AWS, and any tool.