Free Production Engineering Courses

Free hands-on courses in cloud native security, distributed systems, SPIFFE/SPIRE, Kubernetes, Zero Trust, production RAG, and analytics engineering. No signup.

Production-focused, architecture-first courses for engineers who secure, scale, and operate real infrastructure. Learn through modules, hands-on labs or inline exercises, diagrams, and concrete production trade-offs.

Available Courses

• Mastering SPIFFE & SPIRE: Zero Trust for Cloud Native Systems

  Go from "what is workload identity?" to deploying production-grade SPIRE on Kubernetes with mTLS, OPA policy enforcement, and multi-cluster federation. 13 modules, 30+ labs, completely free.

  13 modules · hands-on labs/exercises · 40+ hours · Intermediate to Advanced · 100% free

  Topics: SPIFFE, SPIRE, Zero Trust, Kubernetes, mTLS, PKI, Service Mesh, OPA

• Cloud Native Security Engineering: Securing Kubernetes, Workloads, APIs & Zero Trust Systems

  Secure Kubernetes from attack to defense. Learn workload identity (SPIFFE/SPIRE), Zero Trust (mTLS), policy-as-code (OPA/Kyverno), runtime protection (Falco/eBPF), and supply chain security (Sigstore/SLSA). 16 modules, 50+ labs, completely free.

  16 modules · hands-on labs/exercises · 60+ hours · Beginner to Advanced · 100% free

  Topics: Cloud Native Security, Kubernetes Security, Zero Trust, Workload Identity, SPIFFE, SPIRE, OPA, Falco

• Production-Grade RAG Systems Engineering

  Go beyond toy demos. Learn how production RAG systems are architected: embeddings, vector databases, hybrid retrieval, reranking, AI agents, evaluation, observability, security, and Kubernetes deployment. 16 modules, 50+ labs, free.

  16 modules · hands-on labs/exercises · 60+ hours · Beginner to Advanced · 100% free

  Topics: RAG, LLM, Vector Database, Embeddings, Semantic Search, AI Agents, LangChain, LangGraph

• Distributed Systems Engineering: Building Scalable, Reliable & Secure Systems

  Learn how production distributed systems actually work. CAP, consensus (Raft/Paxos), distributed data, scalability, reliability, Zero Trust, observability, Kubernetes-native architecture, and real failure scenarios — taught from operational reality, not textbooks. 12 modules, hands-on labs, completely free.

  12 modules · hands-on labs/exercises · 50+ hours · Beginner to Advanced · 100% free

  Topics: Distributed Systems, Cloud Native, Kubernetes, Architecture, Scalability, Reliability, Zero Trust, SPIFFE

• Production Analytics Engineering with dbt: Metrics, Semantic Layers & Lineage

  Learn analytics engineering from scratch: dbt models, table grain, staging, marts, tests, freshness, metrics, semantic layers, MetricFlow, lineage, CI/CD, and data incident debugging. 16 modules, inline labs, no repository required.

  16 modules · hands-on labs/exercises · 28+ hours · Beginner to Intermediate · 100% free

  Topics: Analytics Engineering, dbt, Semantic Layer, MetricFlow, Metrics Layer, Data Lineage, Data Quality, Data Modeling

Suggested Learning Paths

1. Distributed Systems Engineering → Cloud Native Security Engineering → Mastering SPIFFE & SPIRE
2. Cloud Native Security Engineering → Mastering SPIFFE & SPIRE → Kubernetes Security Simulator
3. Distributed Systems Engineering → Production RAG Systems Engineering → AI Infrastructure Security Game
4. Production Analytics Engineering → Declarative Data Pipelines → Lakehouse Table Formats

Practice Beyond the Courses

• Interactive security simulators for Kubernetes, Zero Trust, API defense, incident response, supply-chain security, and AI infrastructure.
• Operational cheatsheets for Kubernetes, Docker, Git, SQL, SPIFFE/SPIRE, OPA/Rego, API security, runtime security, service mesh, and DevSecOps.
• Engineering articles on distributed systems, rate limiting, caching, scheduling, infrastructure, APIs, and production architecture.