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AI Engineering · 100-level

Model Landscape & Jargon

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AIE-1301 creditselectivebadge: model-literateno prerequisites
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Earn the model-literate credential

What's inside

Sections & lessons

01

Jargon decode

  • Turning marketing fog into named mechanismsconcept45 min
02

Benchmarks & leaderboard literacy

  • Blind-guessing a model before trusting a leaderboardconcept60 min
03

Lab + eval-gate: blind arena calibration

  • Score your own calibration against the real leaderboard (Model Literate badge)concept120 min
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Learn it from the inside

This module's playgrounds

AI Engineering

Next in this path

Where this specialization goes from here — in (level, code) order.

  • AIE-201

    AI-Assisted Coding

    3 creditscorebadge: builder
    Start
  • AIE-202

    RAG Foundations

    3 creditscorebadge: rag-i
    Start
  • AIE-203

    RAG Quality & Retrieval Evals

    2 creditselectivebadge: rag-ii
    Start
  • AIE-204

    Structured Outputs & Function Calling

    2 creditselectivebadge: structurer
    Start
  • AIE-205

    Automation & Workflows

    2 creditselectivebadge: automator
    Start
  • AIE-301

    Agent Foundations

    3 creditscorebadge: agent-i
    Start
  • AIE-302

    Multi-Agent Orchestration & HITL

    2 creditselectivebadge: agent-ii
    Start
  • AIE-303

    MCP & Tool Integration

    2 creditselectivebadge: integrator
    Start
Vocabulary

Key concepts in this course

Quantization Latency Percentiles (p50/p95/p99) LLM Evals

Compare related approaches

Prompt Engineering vs Fine-Tuning Closed vs Open-Weight Models INT8 vs INT4 Quantization

This module ends in a gate you can fail.

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