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01

Learning Map

Curriculum for AI Solution Engineers — stages, 35 topics, and practice.

Overview
Start here4
Stages6
Topics · Business & consulting7
Topics · AI & data9
Topics · Architecture & cloud4
Topics · Trust & control4
Topics · Commercial & delivery10
Topics · Leadership3
Business Learning7
Project Management2
02

Guide

18-part engagement playbook from opportunity discovery to adoption.

Overview
Discover & prioritise2
Design the solution5
Trust & operate4
Deliver & scale3
Practice & growth3
04

Models

Architecture, training and deployment deep dives for open-weight and closed-source models, plus a credited Hugging Face Transformers learning path.

Overview
Landscape1
Open source11
Closed source6
🤗 Transformers48
05

Roadmaps

Stage-by-stage paths for engineering, product, leadership, security, and cloud.

Overview
Engineering8
Product1
Organisation & leadership15
Security4
Platform4
07

Articles

All short practical notes — business, consulting, engineering, and governance.

Browse all articles
Getting started2
Business13
Business Administration27
Communication5
Solution Engineering6
Case Studies18
Consulting & leadership23
AI Engineering30
Governance8
Roadmap articles18
10

MCP

Model Context Protocol — connect AI hosts to tools, resources and prompts; build servers and clients; secure, extend and publish.

MCP overview
Getting started1
Learn MCP4
Develop with MCP6
SDKs and tools3
Security2
Extensions4
Registry and specification2

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