Learning Graph Mermaid Diagram¶
This page provides a visual representation of the SEIS 666 learning graph using Mermaid diagrams.
High-Level Taxonomy Overview¶
This diagram shows the 12 taxonomy categories and their primary relationships:
flowchart TD
subgraph FOUND["Foundation Concepts"]
F1[Digital Transformation]
F2[Artificial Intelligence]
end
subgraph ARCH["LLM Architecture"]
A1[Large Language Models]
A2[Transformer Architecture]
A3[Attention Mechanism]
A4[Embeddings]
end
subgraph PLAT["AI Platforms"]
P1[OpenAI/GPT-4]
P2[Anthropic/Claude]
P3[Google Gemini]
P4[Open-Source Models]
end
subgraph PROMPT["Prompt Engineering"]
PR1[Zero-Shot Prompting]
PR2[Few-Shot Prompting]
PR3[Chain-of-Thought]
PR4[System Prompts]
end
subgraph CUSTOM["Custom Solutions"]
C1[Custom GPT]
C2[AI Agents]
C3[RAG]
C4[Vector Database]
end
subgraph API["API Integration"]
AP1[REST API]
AP2[OpenAI API]
AP3[API Parameters]
end
subgraph MULTI["Multimodal AI"]
M1[Text-to-Image]
M2[Vision Capabilities]
M3[Audio AI]
end
subgraph GOV["Governance"]
G1[GAI Center of Excellence]
G2[AI Strategy]
G3[Change Management]
end
subgraph ETHICS["Ethics"]
E1[Responsible AI]
E2[AI Bias]
E3[Data Privacy]
end
subgraph WORK["Workforce"]
W1[Future of Work]
W2[Human-AI Collaboration]
W3[Skill Transformation]
end
subgraph BIZ["Business Applications"]
B1[AI Use Cases]
B2[Value Mapping]
B3[Industry Applications]
end
subgraph ADV["Advanced Topics"]
AD1[AI Transformation]
AD2[Converging Technologies]
AD3[Capstone Project]
end
%% Primary Learning Paths
F2 --> ARCH
ARCH --> PLAT
PLAT --> PROMPT
PROMPT --> CUSTOM
ARCH --> API
ARCH --> MULTI
F1 --> GOV
GOV --> ETHICS
F2 --> ETHICS
F1 --> WORK
F2 --> WORK
F1 --> BIZ
F2 --> BIZ
GOV --> ADV
BIZ --> ADV
WORK --> ADV
style FOUND fill:#F08080
style ARCH fill:#FFDAB9
style PLAT fill:#FFFFE0
style PROMPT fill:#F0FFF0
style CUSTOM fill:#98FB98
style API fill:#AFEEEE
style MULTI fill:#B0E0E6
style GOV fill:#E6E6FA
style ETHICS fill:#FFF0F5
style WORK fill:#D8BFD8
style BIZ fill:#FFE4E1
style ADV fill:#DDA0DD
Core Learning Path: AI Fundamentals¶
flowchart LR
AI[Artificial Intelligence] --> ML[Machine Learning]
ML --> DL[Deep Learning]
DL --> NN[Neural Networks]
DL --> GenAI[Generative AI]
GenAI --> LLM[Large Language Models]
LLM --> Trans[Transformer Architecture]
Trans --> Attn[Attention Mechanism]
style AI fill:#F08080,color:white
style GenAI fill:#F08080,color:white
style LLM fill:#FFDAB9
style Trans fill:#FFDAB9
style Attn fill:#FFDAB9
Prompt Engineering Learning Path¶
flowchart TD
PE[Prompt Engineering] --> ZS[Zero-Shot Prompting]
ZS --> FS[Few-Shot Prompting]
FS --> ICL[In-Context Learning]
ICL --> CoT[Chain-of-Thought]
CoT --> ToT[Tree-of-Thought]
PE --> SP[System Prompt]
SP --> UP[User Prompt]
SP --> PD[Persona Design]
PE --> OF[Output Formatting]
OF --> SO[Structured Output]
SO --> JSON[JSON Output]
SO --> MD[Markdown Output]
style PE fill:#F0FFF0
style CoT fill:#F0FFF0
style ToT fill:#F0FFF0
Platform Ecosystem¶
flowchart TD
GenAI[Generative AI] --> OpenAI[OpenAI]
GenAI --> Anthropic[Anthropic]
GenAI --> Google[Google Gemini]
GenAI --> OSS[Open-Source Models]
OpenAI --> GPT4[GPT-4]
GPT4 --> GPT4T[GPT-4 Turbo]
GPT4 --> GPT4o[GPT-4o]
GPT4 --> ChatGPT[ChatGPT]
Anthropic --> Claude[Claude]
Claude --> Sonnet[Claude 3 Sonnet]
Claude --> Opus[Claude 3 Opus]
Google --> Pro[Gemini Pro]
Google --> Ultra[Gemini Ultra]
OSS --> Llama[Meta Llama]
OSS --> Mistral[Mistral AI]
style GenAI fill:#F08080,color:white
style OpenAI fill:#FFFFE0
style Anthropic fill:#FFFFE0
style Google fill:#FFFFE0
style OSS fill:#FFFFE0
Governance and Ethics Path¶
flowchart TD
DT[Digital Transformation] --> Strategy[AI Strategy]
Strategy --> GAICoE[GAI Center of Excellence]
GAICoE --> Charter[GAICoE Charter]
GAICoE --> Gov[AI Governance]
GAICoE --> CM[Change Management]
Gov --> Policy[AI Policy]
CM --> SE[Stakeholder Engagement]
SE --> ES[Executive Sponsorship]
GenAI[Generative AI] --> RAI[Responsible AI]
RAI --> Ethics[AI Ethics]
RAI --> Bias[AI Bias]
RAI --> Privacy[Data Privacy]
Bias --> Detection[Bias Detection]
Detection --> Mitigation[Bias Mitigation]
RAI --> RedTeam[Red-Teaming]
RedTeam --> Guardrails[Safety Guardrails]
style DT fill:#F08080,color:white
style GAICoE fill:#E6E6FA
style RAI fill:#FFF0F5
Business Applications Path¶
flowchart TD
UseCase[AI Use Case] --> Identify[Use Case Identification]
Identify --> ValueMap[Value Mapping]
ValueMap --> ROI[ROI Estimation]
Identify --> Prioritize[Prioritization Framework]
Prioritize --> Feasibility[Feasibility Analysis]
Feasibility --> Impact[Impact Assessment]
Impact --> Quick[Quick Wins]
Impact --> Strategic[Strategic Initiatives]
UseCase --> Industry[Industry Use Cases]
Industry --> Healthcare[Healthcare AI]
Industry --> Finance[Finance AI]
Industry --> Retail[Retail AI]
Industry --> Mfg[Manufacturing AI]
style UseCase fill:#FFE4E1
style Industry fill:#FFE4E1
Capstone Project Dependencies¶
flowchart BT
Cap[Capstone Project] --> Strategy[AI Strategy Document]
Cap --> Charter[GAICoE Charter]
Cap --> Transform[AI Transformation]
Strategy --> Roadmap[AI Roadmap]
Strategy --> AIStrat[AI Strategy]
Transform --> DT[Digital Transformation]
Transform --> GenAI[Generative AI]
style Cap fill:#DDA0DD,color:white
style Transform fill:#DDA0DD,color:white
Taxonomy Legend¶
| Category | Color | Description |
|---|---|---|
| Foundation | LightCoral | Core concepts like Digital Transformation and AI |
| LLM Architecture | PeachPuff | Technical architecture concepts |
| AI Platforms | LightYellow | Commercial and open-source AI platforms |
| Prompt Engineering | Honeydew | Techniques for effective AI interaction |
| Custom Solutions | PaleGreen | Building custom AI applications |
| API Integration | PaleTurquoise | Technical integration patterns |
| Multimodal AI | PowderBlue | Image, video, and audio AI |
| Governance | Lavender | Organizational AI governance |
| Ethics | LavenderBlush | Responsible AI and ethics |
| Workforce | Thistle | Future of work and skills |
| Business Applications | MistyRose | Business use cases and value |
| Advanced Topics | Plum | Emerging and capstone concepts |