Track · 6 lessons · 58 min
MagOneAI Essentials
The complete course in six episodes and seven hands-on labs, from the mental model to a workflow your colleagues run. No coding required.
Lessons in this track
- 01
Platform Fundamentals
The mental model behind every MagOneAI workflow: the five nouns the platform comes down to, what happens when a workflow runs, and who builds in Studio and who runs in Hub.
Beginner9:31 - 02
Agent and Workflow Design
Most of the quality in an AI workflow lives in how you configure and instruct the agent. The canvas first, then the agent, with two labs to build along with.
Beginner12:11 - 03
Enterprise Tool Integration with MCP
A model can only produce text. Tools are how a workflow reaches the outside world, and one sentence explains most tool failures you will ever see: MCP servers need credentials.
Beginner6:30 - 04
Control Flow and Orchestration
Condition and Parallel look almost identical on the canvas and do different jobs. One is routing, where exactly one branch runs; the other is concurrency, where any number can.
Professional5:08 - 05
Enterprise RAG and Knowledge Bases
A model does not know your pricing policy, your product manual or your board pack. A knowledge base grounds the agent in your documents, provided its instructions forbid answering beyond what was retrieved.
Professional6:23 - 06
Production Deployment and Governance
The stretch from a clever prototype to something you would put your name on: files, approvals, dynamic values, tests, publishing, and what to do when a live run breaks.
Professional17:58
