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AI Fluency Curriculum

L1: Casual Consumer

L2: Prompt Engineer

L3: Context Engineer

L4: AI Component Engineer

L5: AI System Engineer

5.1 Transformer Architecture 5.2 Attention Mechanism 5.3 Fine-Tuning 5.4 Evaluation Metrics 5.5 Agentic Workflows 5.6 Tool Protocols and MCP 5.7 Subagents and Delegation 5.8 Multi-Agent Teams 5.9 Building Custom Agents 5.10 Orchestration Frameworks 5.11 Human-in-the-Loop Design 5.12 Multi-AI System Architecture 5.13 System-Level Cost and Performance 5.14 Checkpoint: AI System Engineer

L6: AI Platformizer

Curriculum/AI System Engineer/5.3 Fine-Tuning

5.3 Fine-Tuning

LoRA, QLoRA, RLHF, and domain adaptation techniques for customizing models to specialized tasks.

5.2 Attention Mechanism 5.4 Evaluation Metrics

AI Fluency Platform

Evidence-based learning for the age of AI