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MAF Learning Hub

MuleSoft Agent Fabric

A guided learning path to a governed agent network

Progress through six tracks and the four MAF capabilities - Discover, Govern, Orchestrate, Observe - from AI-native fundamentals to deploying, observing, and testing agent networks.

Start learning By capability

Choose your role to get a recommended path

Enterprise Architect

Design the agentic hierarchy

  1. AI-Native Skills
  2. UAPIM & Agentic Enterprise
  3. Platform Engineering
  4. Testing & Assurance

Security Engineer

Enforce Zero-Trust and Bounded Execution

  1. AI-Native Skills
  2. UAPIM & Agentic Enterprise
  3. Runtime & Connectors
  4. Testing & Assurance

DevOps / Platform Engineer

Deploy and automate Omni Gateway and CloudHub 2.0

  1. Data Foundations
  2. Runtime & Connectors
  3. Platform Engineering
  4. Testing & Assurance

Integration Developer

Build agent scripts, MCP tool calls, and graphs

  1. AI-Native Skills
  2. UAPIM & Agentic Enterprise
  3. Runtime & Connectors
  4. Testing & Assurance

Tracks

foundational

AI-Native Skills

LLM mechanics, RAG, Knowledge Graphs, MCP, and the A2A Protocol - the foundations for building your first working agent link.
foundational

Data Foundations

Modern data architectures (ETL/ELT, MDM) that make an enterprise AI-ready.
intermediate

UAPIM & Agentic Enterprise

Design autonomous workflows and use APIs as an AI control plane; discover and govern agents.
advanced

Runtime & Connectors

Deploy agents on CloudHub 2.0 via Omni Gateway, bind MCP tools, and observe interactions.
advanced

Platform Engineering

Automate infrastructure, manage network topographies and egress control, and control cost.
advanced

Testing & Assurance

Test agentic systems the right way: layered regression evaluation, golden datasets, isolation with A2A mocks, the multi-broker test pyramid, and beyond-regression suites for protocol conformance, graph topology, auth, and governance.