{ "metadata": { "title": "Prompt Engineering: From Fundamentals to Agentic AI", "description": "A comprehensive learning graph covering prompt engineering from foundational AI concepts through advanced techniques including agentic AI, RAG, multimodal prompting, and 35 capstone projects.", "creator": "Dan McCreary", "date": "2026-04-08", "version": "1.0", "format": "Learning Graph JSON v1.0", "schema": "https://raw.githubusercontent.com/dmccreary/learning-graphs/refs/heads/main/src/schema/learning-graph-schema.json", "license": "CC BY-NC-SA 4.0 DEED" }, "groups": { "FOUND": { "classifierName": "Foundation Concepts", "color": "LightCoral", "font": { "color": "white" } }, "PFUND": { "classifierName": "Prompt Fundamentals", "color": "PeachPuff", "font": { "color": "black" } }, "PTYPE": { "classifierName": "Prompt Types", "color": "MistyRose", "font": { "color": "black" } }, "PTECH": { "classifierName": "Prompt Techniques", "color": "LightYellow", "font": { "color": "black" } }, "PARAM": { "classifierName": "Model Parameters", "color": "Thistle", "font": { "color": "black" } }, "OUTFMT": { "classifierName": "Output Format Control", "color": "PaleTurquoise", "font": { "color": "black" } }, "CTXMEM": { "classifierName": "Context and Memory", "color": "PaleGreen", "font": { "color": "black" } }, "RAG": { "classifierName": "Retrieval-Augmented Generation", "color": "PowderBlue", "font": { "color": "black" } }, "MULTI": { "classifierName": "Multimodal Prompting", "color": "Aquamarine", "font": { "color": "black" } }, "AGENT": { "classifierName": "Agentic AI", "color": "LightSteelBlue", "font": { "color": "black" } }, "SECUR": { "classifierName": "Prompt Security", "color": "LightPink", "font": { "color": "black" } }, "ETHIC": { "classifierName": "Ethics and Responsible AI", "color": "Honeydew", "font": { "color": "black" } }, "BIZAP": { "classifierName": "Business Applications", "color": "LavenderBlush", "font": { "color": "black" } }, "EDUAP": { "classifierName": "Educational Applications", "color": "Lavender", "font": { "color": "black" } }, "EVAL": { "classifierName": "Evaluation and Optimization", "color": "Gainsboro", "font": { "color": "black" } }, "USAGE": { "classifierName": "Usage Limits and Token Economics", "color": "MintCream", "font": { "color": "black" } }, "CAP": { "classifierName": "Capstone Projects", "color": "Plum", "font": { "color": "white" } } }, "nodes": [ { "id": 1, "label": "Artificial Intelligence", "group": "FOUND", "shape": "box" }, { "id": 2, "label": "Machine Learning", "group": "FOUND" }, { "id": 3, "label": "Natural Language Processing", "group": "FOUND" }, { "id": 4, "label": "Large Language Model", "group": "FOUND" }, { "id": 5, "label": "Neural Network Basics", "group": "FOUND" }, { "id": 6, "label": "Transformer Architecture", "group": "FOUND" }, { "id": 7, "label": "Token", "group": "FOUND" }, { "id": 8, "label": "Tokenization", "group": "FOUND" }, { "id": 9, "label": "Context Window", "group": "FOUND" }, { 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