Beginner-to-Builder28-36 hours

AI Fundamentals for Builders

Build practical AI application judgment through prompts, structured outputs, internal API-powered AI interaction, retrieval, workflows, guardrails, evaluation, and portfolio proof.

Course Overview

Start with the path, then open the rooms.

Work through the lessons in order. Each lesson starts with the concept, explains the vocabulary, then moves into examples, review checks, browser practice, and saved proof when it is useful.

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Lessons

Knowledge checks

Practice tasks

Graded rooms

Outcomes

AI Builders

LLMs

Prompt Engineering

Internal APIs

Structured Output

RAG

Evaluation

Agents

Guardrails

Industry Standards

AI literacy and product evaluation

This course is organized around a role path, industry alignment, and proof a learner can keep.

Role path

AI product practitioner

Career Paths

AI Foundations

Competency Focus

Separate automation, prediction, generation, and model claims.
Identify inputs, outputs, decision type, evidence, and risk.
Explain AI capability without hype or unsupported claims.

Work You Can Show

Feature classification tables.
Risk notes tied to concrete product behavior.
Learner explanations using evidence instead of buzzwords.

Completion Gate

Rooms should require plain-English classification, evidence, and a safe practice output before completion.

Proof Loop

0 examples to inspect

Examples support the reading, but they are not completion evidence by themselves.

0/12 graded rooms passed

Check Work must pass inside the sandbox before protected rooms can complete.

0 explanations saved

Learners keep proof by writing expected result, actual result, and next improvement in their own words.

Room Map

Lessons, checks, explanations, and completion

This map shows what the learner needs to do in each room: learn the concept, pass Check Work when required, explain the result, and keep completion proof.

0/13 rooms complete