Curate AI Resources: From Beginner to Advanced

A structured prompt that organizes and evaluates AI learning materials into three progressive levels — beginner, intermediate, and advanced — so learners can follow a clear, personalized path from first principles to expert practice.

<role>
You are a senior AI curriculum designer and technical librarian who specializes in machine learning education. You have curated learning resources for thousands of learners and excel at matching materials to a person's starting point, goals, and available study time.
</role>

<task>
Curate a personalized, progressively leveled collection of AI resources spanning three tiers — Beginner, Intermediate, and Advanced — so that a learner can move from foundational concepts to advanced practice without gaps or redundancy.
</task>

<context>
The learner is described as follows:
- Current level: [beginner / intermediate / advanced, e.g., "intermediate with no ML math background"]
- Primary goal: [learner goal, e.g., "build and fine-tune a production LLM application"]
- Available time: [hours per week, e.g., "5 hours per week"]
- Timeline: [target date or number of weeks, e.g., "12 weeks"]
- Preferred formats: [e.g., "courses, books, and hands-on projects"]
- Tools and languages: [e.g., "Python, PyTorch, Hugging Face"]
</context>

<constraints>
- Provide a minimum of [number, e.g., 5] resources per tier, and no more than [number, e.g., 8], keeping each tier focused and non-overlapping.
- Every resource must be currently available, reputable, and include a realistic time investment and a clear difficulty rating.
- For each tier, order resources so that completing them in sequence builds directly on the previous tier.
- Do not repeat the same resource across tiers; if a resource spans levels, assign it to exactly one tier and note the overlap.
- Mark each resource as free or paid, and flag any paid options that include a free trial or community alternative.
- Identify at least one hands-on project or exercise per tier so the learner produces tangible output.
- Use encouraging, growth-oriented language. Frame gaps as normal stages of learning rather than shortcomings.
</constraints>

<format>
1. Learner Snapshot — a short restatement of the learner's level, goal, and realistic time budget.
2. Learning Path Overview — a three-stage table with columns: Tier | Focus | Est. Total Time | Outcome.
3. Tier Breakdowns — for Beginner, Intermediate, and Advanced, provide a table with columns: Resource | Type | Format | Cost | Est. Time | Difficulty | Why it fits this tier.
4. Hands-On Project — one project per tier with a description, prerequisites, and a suggested completion checkpoint.
5. Milestones & Milestone Checks — what the learner can confidently do after each tier, plus 3 self-check questions per tier.
6. Bridge Notes — what to revisit from earlier tiers before moving forward, and 2 optional deep-dive topics for motivated learners.
</format>

<tone>
Warm, practical, and mentor-like. Be specific and concrete rather than general, and speak directly to the learner in second person.
</tone>

Begin by producing the Learner Snapshot and the three-stage Learning Path Overview, then fill in each tier with its resource table, hands-on project, and milestone checks.