AIForSRE is a complete AI for SRE learning system for people who have to understand, build, secure and operate real AI systems — from “what is AI?” to RAG, agents, GPUs, reliability, security, governance and enterprise architecture.
The free path teaches the vocabulary and mental models. Enterprise tracks turn those concepts into decisions, controls, runbooks, operating standards and downloadable workbench artifacts.
Follow 397 concepts in sequence. Begin with AI and machine learning, then move through transformers, APIs, RAG, agents, MCP, LLMOps, infrastructure, reliability, security, incidents, cost and production architecture.
Start with the flagship AI for SRE roadmap, then jump into production-focused guides on LLMOps, RAG, agents, MCP, KV cache, observability, performance, security and infrastructure.
Explore AI for SRE →Use browser-based labs and synthetic scenarios to practice AI reliability, security and production thinking without exposing company data.
Open hands-on labs →Six advanced tracks for people responsible for real organizational AI systems.
Operating model, intake, risk tiers, platform, governance, SRE, FinOps, assurance and rollout.
COORDINATE → 42 conceptsPrompt/context, agents, RAG, embeddings, MCP, identity, supply chain, detection and response.
SECURE → 73 conceptsSLOs, TTFT/TPOT, capacity, provider resilience, observability, incidents, DR and AI FinOps.
OPERATE → 81 conceptsModel/provider lifecycle, evals, routing, progressive delivery, serving, observability and governance.
SHIP → 108 conceptsRAG, agents, MCP, serving, data/state, resilience, security boundaries and reusable blueprints.
DESIGN → 100 conceptsUse-case lifecycle, risk classification, data governance, approvals, oversight, audit and maturity.
GOVERN →Learn one idea in plain language with a real production example.
See the system, data flow, failure mode or architecture instead of memorizing jargon.
Connect multiple concepts into an SRE, platform or security workflow.
Turn knowledge into operating decisions, controls, standards and downloadable artifacts.
Practice on synthetic systems without pasting internal prompts, code or credentials.
Search and progress work in your browser. Enterprise examples use synthetic systems and generic architectures. AIForSRE does not need your production prompts, credentials, documents or internal diagrams to teach the operating model.
See the Enterprise approach →