Academy · Certification

Trida Full-Stack AI Certified
From idea to production.

One certification that says you can take an AI system all the way — model judgment, retrieval and agents, evals, and the operations that keep it alive after launch.

Work through it at your own pace with the free course below. Pass the quiz on every module and your credential is yours — no capstone to build, no review to wait on. For engineers, operators, and anyone who wants proof they know the stack.

Self-pacedSelf-testedVerifiable credential
Trida Full-Stack AI Certified badge

What it certifies

Model judgment

Know how LLMs actually behave and fail — context, tokens, tool use — and design harnesses that work with those limits instead of against them.

Systems that retrieve and act

Build RAG pipelines and agent loops that hold up outside the demo, and know when each one is the wrong choice.

Verification as a habit

Write evals before you ship. Prove what the system does instead of eyeballing outputs and hoping.

Production ownership

Monitoring, cost control, and failure handling. Not just building the system — running it.

The course.
Free, self-paced, open now.

Four core modules everyone completes, plus one elective where you ship with the tooling closest to how you actually work. Built from real engagements — repos and failure stories, not slideware.

Core · All four required

01

Models & harnesses

How LLMs behave under the hood: tokens, context windows, tool calling — and the harness code around the model that does most of the real work.

2 readings1 quiz
02

RAG & agents

Retrieval pipelines, agent loops, and the judgment call between them. You'll build both and learn where each one breaks.

2 readings1 lab
03

Evals & verification

Evals as the spec: building eval suites, catching regressions in CI, and verifying agent output you didn't write by hand.

1 reading1 lab1 quiz
04

Production operations

What keeps an AI system alive after launch: monitoring, cost controls, failure handling, and an on-call story that isn't wishful thinking.

2 readings1 quiz

Elective · Complete one

E1

Ship with Claude Code

Take a real repo from issue to merged PR with an agentic coding tool doing the heavy lifting — and you doing the verifying.

1 lab
E2

Ship with the API

Build a small tool-using harness directly against a model API: tool definitions, the loop, and error handling.

1 reading1 lab
E3

Ship an AI feature end to end

Add an AI layer to a working app — UI, backend, evals, deploy. The smallest version of the full stack.

1 lab

How you earn it

Prepare

1. Work the course

Self-paced and always open — no cohorts, no schedule. Work through the core modules and one elective whenever it fits your life.

Test

2. Pass each quiz

Every module ends with a quiz you take and grade yourself. No proctor, no waiting — retake it as many times as you need.

Earn

3. Get your credential

Clear every core module and your elective, and the credential issues automatically — with an ID anyone can check.

Prove you know the stack.

The course is free, self-paced, and open now. Pass every module quiz and your credential issues automatically — no capstone, no review to wait on.

Start the course →