EssentialsBeginner
Platform Fundamentals
Core architecture and how workflows run in Studio and Hub.
9:31
Official training from Magure · Now featuring MagOneAI
MagOneAI Academy: Learn to Build and GovernEnterprise AI Agents and Workflows
MagOneAI Academy is the official training hub for MagOneAI, Magure's agentic AI orchestration platform. Role-based online courses equip engineers, architects and IT teams to build, integrate and govern AI agents in production, with no code required.
39 lessons6-episode course7 hands-on labsNo code requiredISO 27001 · ISO 42001
Course · Essentials
MagOneAI Essentials: Enterprise Agentic AI Course
6 episodes · 58 min · 7 hands-on labs · End-to-end platform proficiency
Learning path · 33 lessons · 58 min
5 Stages from Setup to Production
Task-sized lessons in the order an enterprise rollout needs them. Already built a workflow? Start at stage 3.
Stage 01 · Beginner · 6 lessons · 11 min
Workspace Setup: Access Control, LLM Configuration, Secrets, MCP and OAuth Integration
- 01Role-Based Access: Projects, Roles and Permissions2:13
- 02Enterprise LLM Configuration and Model Cost Control1:53
- 03Secrets Management: Vault-Backed, Write-Only Keys1:38
- 04Enterprise Tool Integration with MCP Servers2:37
- 05External MCP Servers: Bring Your Own Tools1:34
- 06OAuth Integrations: Tools That Act as the User0:56
Stage 02 · Beginner · 7 lessons · 17 min
Workflow Build: AI Agents, Super Agents, Enterprise RAG and a Reusable Agent Library
- 07Building Your First Enterprise AI Workflow4:12
- 08START Node: Workflow Inputs and Validation2:02
- 09END Node: Structured Workflow Outputs0:48
- 10AGENT Node: Persona, Knowledge and Tools2:26
- 11SUPER AGENT Node: Delegating to Specialist Agents2:50
- 12Enterprise RAG: Creating and Tuning a Knowledge Base3:42
- 13Agent Library: Standardized, Reusable Agents1:05
Stage 03 · Professional · 9 lessons · 14 min
Orchestration Logic: Tool, API, Code, Condition, ForEach, Use Case, Parallel and Human-in-the-Loop Nodes
- 14TOOL Node: Deterministic Tool Execution1:34
- 15API Node: Direct REST Integration1:44
- 16CODE Node: Sandboxed Data Transformation1:08
- 17CONDITION Node: Rule-Based and AI-Based Routing2:16
- 18FOREACH Node: One Run Per Item, in Parallel2:10
- 19USE CASE Node: Reusable Workflows as a Single Step1:38
- 20PARALLEL Node: Concurrent Execution and Merge Strategies1:26
- 21HUMAN TASK Node: Approval and Escalation Workflows1:25
- 22Prompt Debugging and Execution Tracing1:01
Stage 04 · Professional · 9 lessons · 13 min
Production and Governance: Testing, Versioning, Scheduling, Workflow APIs, Hub, LLM Quotas and SSO
- 23Test Cases: Regression Testing AI Workflows1:36
- 24Version Control and One-Click Rollback1:09
- 25Export and Import: Portable AI Workflows1:10
- 26Scheduled Workflow Execution1:26
- 27Exposing AI Workflows as Secure APIs1:38
- 28Hub Tour: Run Published Workflows Without Studio1:12
- 29Hub Inbox: Approve and Resume Paused Workflows2:25
- 30LLM Usage Quotas and Cost Governance1:23
- 31Single Sign-On: Microsoft, Google and Oracle0:41
Stage 05 · Advanced · 2 lessons · 3 min
Use Cases: AI Data Analyst Agent and WAF False Positive Detection
Video lessons
Browse Lessons
How-toBeginner
Enterprise Tool Integration with MCP Servers
Connect agents to enterprise systems with secure credentials.
2:37
How-toBeginner
Enterprise RAG: Creating and Tuning a Knowledge Base
Ground agents in proprietary documents.
3:42
Node ExplainedProfessional
HUMAN TASK Node: Approval and Escalation Workflows
Pause a run for human approval, then resume.
1:25
How-toProfessional
LLM Usage Quotas and Cost Governance
Cap LLM spend by organization, project or user.
1:23
Use CasesAdvanced
WAF False Positive Detection: Automated Security Triage
Agents validate firewall blocks and alert the owning team.
1:43
Choose your starting point
Where Are You on Your Agentic AI Journey?
Professionals and learners
New to Agentic AI
Gain hands-on agentic AI skills: agents, tools, RAG and human-in-the-loop, taught on a production-grade platform. Start free, no code required.
Enterprises and evaluators
Evaluating MagOneAI
Understand how MagOneAI works before you commit. Explore the architecture, integrations and governance controls here, then see the platform applied to your use cases in a guided demo.
Prefer to build first? Try MagOneAI Community free
MagOneAI customers
Already Using MagOneAI
Onboard new users faster and master advanced orchestration, integrations and governance on your enterprise workspace.
MagOneAI Academy certifications coming soon
Outcomes
What Your Team Will Build
Faster time to production, lower delivery risk and in-house AI capability that scales across business units.
Capabilities
6 skills
- Configure cloud and private LLMs with per-token cost controls
- Integrate enterprise systems through MCP servers and REST APIs
- Deploy enterprise RAG grounded in proprietary knowledge
- Embed human-in-the-loop approvals and conditional routing
- Expose workflows as secured APIs and scheduled jobs
- Govern releases with versioning, rollback and usage quotas
Start where your role starts
- AI and automation engineersStage 2
- Solution architectsStage 3
- IT, security and platform adminsStages 1 and 4
- Business and transformation leadersEssentials course
Reference implementations
Production-Grade Enterprise AI Agent Use Cases
- Lesson 32 · 1:10Advanced
AI Data Analyst Agent
Self-service analytics in natural language, answered from your own database without analyst bottlenecks.
StartBusiness questionAgentIntent classificationConditionRoute to specialistAgentSales, finance or ops agentToolValidated SQLWatch the use case - Lesson 33 · 1:43Advanced
WAF False Positive Detection
Automated security triage that flags wrongly blocked requests and alerts the owning team, reducing manual review.
TriggerNightly scheduleToolBlocked requestsAPILive endpointsAgentFalse positive?ToolAlert owning teamWatch the use case
More guides in the Help Center
The platform
MagOneAI: Agentic AI Orchestration Built for the Enterprise
Deploys on your infrastructure, works with any cloud or private LLM, and puts governed AI agents into production in weeks, not months.
MagOneAI / Platform
Sovereign by Design
On-premise or private cloud. Data never leaves your control.
Model-Agnostic
Any cloud or private LLM, assigned per agent.
Open MCP Standard
Enterprise integrations without vendor lock-in.
Durable Execution
Temporal-backed retries, recovery and observability.
Human Oversight
Approval checkpoints embedded in every workflow.
Release Governance
Versioning, quotas, audit logging and SSO.
FAQ
MagOneAI Academy FAQs
For complete technical documentation, see the MagOneAI Help Center.
What is MagOneAI Academy?
MagOneAI Academy is the official training hub for MagOneAI, Magure's agentic AI orchestration platform. It equips enterprise teams to build, integrate, deploy and govern AI agents in production.
Who is MagOneAI Academy for?
Three groups: MagOneAI customers scaling their team's expertise, enterprises evaluating the platform, and professionals building hands-on agentic AI skills on the free MagOneAI Community edition. By role, it serves AI and automation engineers, solution architects, IT and platform administrators, and business leaders driving AI adoption.
Do I need to be a MagOneAI customer to use the Academy?
No. Anyone can sign up for the free MagOneAI Community edition and follow the Academy curriculum to build real agents and workflows on it. Customers use the same curriculum on their enterprise workspace.
Is MagOneAI Academy free?
Yes. Written guides are freely accessible, and the curriculum can be completed on the free MagOneAI Community edition. Enterprise team enablement programs are available separately.
Does MagOneAI Academy offer certification?
MagOneAI Academy certifications are coming soon, giving professionals and enterprise teams a formal credential for MagOneAI and agentic AI skills.
Is coding experience required?
No. The curriculum is delivered on the no-code MagOneAI Studio canvas. One optional module covers sandboxed code.
How long is the curriculum?
The Essentials course runs 58 min with seven hands-on labs. The learning path comprises 33 modules totalling 58 min.
Does the training cover AI governance and cost control?
Yes. Dedicated modules cover access control, versioning and rollback, secured API access and LLM usage quotas, supported by Help Center documentation on security, SSO and audit logging.
Does it apply to on-premise and sovereign deployments?
Yes. MagOneAI deploys on customer infrastructure, and the curriculum applies equally to on-premise, private cloud and sovereign environments.
Does Magure offer team enablement?
Yes. Magure delivers structured enablement programs for enterprise teams across the UAE, GCC and global markets, mapped to priority use cases.
Glossary
Enterprise Agentic AI Glossary
Glossary
6 terms
- AI agent
- A language model configured with a role, tools, knowledge and guardrails to execute a defined task within a workflow.
- Agentic AI orchestration
- Coordinating multiple AI agents, tools and human checkpoints in one governed workflow, so complex processes run reliably end to end.
- Structured autonomy
- MagOneAI's operating model: teams define the workflow structure; AI performs the reasoning within each step.
- Model Context Protocol (MCP)
- An open standard that connects AI models to enterprise tools and data sources, such as email, calendars and databases.
- Retrieval-augmented generation (RAG)
- Retrieving relevant passages from enterprise content so AI responses are grounded in proprietary data, not general training data.
- Human-in-the-loop
- A governance control that pauses a workflow for human approval or input before execution continues.
Enterprise enablement · UAE, GCC and global
Scale AI Capability Across Your Organization
Structured enablement programs for AI centres of excellence, platform teams and business units: a curriculum mapped to your priority use cases, live build sessions in your environment, and governance configured with your administrators.