Module
Structuring an AI project
How to frame an AI problem, pick an approach, and define scope, data, and success criteria.
3 lessons • 450 XP available
This block's action items in the Playbook →Lessons
1
Thinking before building: framing an AI problem
+150 XPDefine the real problem before choosing any AI solution.
2
Choosing the right approach: prompt, RAG, fine-tune, or agent
+160 XPCompare prompting, RAG, fine-tuning, and agents to pick the right method.
3
Scoping, data, and success criteria
+140 XPSet project scope, data needs, and measurable success criteria.