Everything you need to build production-grade AI agents.
From foundation to production. Deep guides on agents, workflows, observability, and the rest of the distributed-AI stack.
AI & Agent Fundamentals
Start here. Clear, no-hype explanations of LLMs, agents, tool use, RAG, and memory — the vocabulary every agent builder needs.
- Course 1AI 101: Generative AI, Agents, and LLMs
- Course 2Deep Dive into Agents: Beyond Chatbots and Copilots
- Course 3From Prototype to Production: What Changes for AI Apps
- Course 4Agents vs Workflows vs Chains
- Course 5Model Context Protocol (MCP) Explained
- Course 6Single Agent vs Multi-Agent Systems
Building AI Agents
Architecture, state, memory, orchestration, and evaluation — everything that separates a demo from a production agent.
Security & Enterprise Readiness
Zero-trust agent communication, PII handling, and the compliance checklist needed to move your agents into production.
Agent Framework Integrations
Bring your existing agent framework to production. How Diagrid Catalyst adds durable execution, observability, and identity underneath the frameworks you already use.
- Course 1Integrating Diagrid Catalyst with LangGraph
- Course 2Using AWS Strands with Diagrid Catalyst Durable Execution
- Course 3Using CrewAI with Catalyst's Durable Execution
- Course 4Using Google ADK with Catalyst's Durable Execution
- Course 5Using Microsoft Agent Framework with Catalyst's Durable Execution
- Course 6Using Anthropic's Claude Agent SDK with Catalyst's Durable Execution
Observability, Debugging & Reliability
Keep agents healthy in production. How to diagnose failure modes, trace execution, and build the durable-execution guarantees that keep agents running when things go wrong.
Ready to build something real?
Start a free Diagrid Catalyst project and ship a durable agent in hours, not weeks or months. Ready to find out more? Talk to an expert who's built this before.
