New: in-depth prep courses for all three AgenticEd certifications.See details →
NewVerifiable AI agent certifications

Learn to build AI agents, responsibly.

Free, practical learning paths from AI literacy to building and evaluating agentic systems. Start without coding and go as deep as you want.

Free
for every learner
3
certification tiers
No signup
progress stays on your device

What you'll learn

See it in action

Watch an agent think.

An agent doesn't just answer — it reasons, uses tools, checks the results, and adapts. You'll learn to design this loop, and to decide where a person must approve the next step.

  • Think → Act → Observe, step by step
  • Tools, memory, and retrieval that ground answers
  • Human approval before actions that matter
agent.run()
GOAL  Plan a 3-day study schedule before my biology exam
THINKACTOBSERVE

Three levels, one path

Begin where you are.
Keep building.

Start with accessible AI literacy, add a Python bridge for technical learners, and progress toward reliable agentic systems.

01
Available now

AI & Agent Foundations

AI literacy, generative AI, prompting, tools, memory, basic agents, responsible use, and a first project.

6 weeksNo codingBeginner
Start Level 1 →
02
In development

AI Application & Agent Builder

Python, APIs, JSON, structured outputs, semantic search, RAG, tools, state, memory, and evaluation.

8 weeksPython bridgeIntermediate
Preview the path →
03
Roadmap

Production Agentic Systems

Architecture, orchestration, multi-agent patterns, security, observability, evaluation, and deployment.

8 weeksAdvancedCapstone
See the roadmap →

Level 1 · Beginner Foundations

Six weekly missions.
Real evidence.

Each week combines a concept, experiment, activity, quiz, and portfolio artifact. Finish in six weeks or move at your own pace.

Week 1 · Open now

AI Foundations: From Automation to Agents

Distinguish automation, AI, machine learning, generative AI, and agents. Then map the Think → Act → Observe loop.

Activity: The Agent Hunt — map a real AI agent's full decision loop
Start Week 1 →
Week 2

Generative AI & LLMs

How large language models actually work, why they hallucinate, and how to write prompts that get real results.

Activity: Prompt Engineering Challenge — 3 rounds
Start Week 2 →
Week 3

Tools, Retrieval & Memory

Why a bare LLM is limited — and how tools and memory transform it. Web search, calculators, databases, and RAG explained simply.

Activity: Memory Bot — test what an AI actually remembers
Start Week 3 →
Week 4

Agent Workflows & Handoffs

Move from one response to a controlled workflow: orchestrators, workers, handoffs, failure propagation, and human checkpoints.

Activity: Design your own multi-agent pipeline
Start Week 4 →
Week 5 · Project

Build Your First Agent

Build, test, break, iterate, and demo your own working AI agent using free no-code tools. Just a browser.

Activity: Demo Day — present your working agent
Start Week 5 →
Week 6

Responsible AI & Your Future

What can go wrong with AI agents, who is responsible, the ethics of autonomy, and where AI careers are heading.

Activity: The Hospital Debate — three sides, one decision
Start Week 6 →

Try it yourself

See how a language model picks its next word.

A model doesn't look answers up. It scores every possible next word and samples one. Move the temperature slider: low values make it predictable, high values make it adventurous — and more likely to drift.

You explore this hands-on in Week 2.

Illustrative probabilities for teaching — real models choose among tens of thousands of tokens.

Certifications

Prove what you know.

Three tiers, each with an in-depth prep course and an exam. Every pass earns a shareable certificate that anyone can verify.

F
Foundational

AI & Agent Foundations

How LLMs work, prompting, agents, tools, retrieval, and responsible use.

6 modules20-question exam
A
Associate

Agent Builder

Architecture, tool calling, memory, production RAG, multi-agent systems, evaluation, and deployment.

8 modulesHands-on labs
S
Specialty

AI Safety & Governance

Alignment, threat modeling, prompt injection, guardrails, fairness, oversight, and governance frameworks.

7 modulesRed-team labs
View all certifications →

AgenticEd Live

Learn from the people building AI.

Free live sessions with engineers, researchers, and educators — industry talks, build-along labs, and career conversations.

See sessions → Become a speaker
Industry TalksHow real teams design, evaluate, and ship agents.
Build-Along LabsBuild a working agent with the instructor.
Educator RoundtablesBringing AI into classrooms responsibly.
Career ConversationsPaths into AI engineering, research, and policy.

From the blog

Ideas worth understanding.

All articles →

Free resources

Everything you need,
in one place.

Reference tools, planning aids, and support pages — all free, no login required.

Weekly QuizzesCheck your understanding — every answer explained. Baseline & Final AssessmentTake it before Week 1 and after Week 6 to see your growth. GlossaryEvery key term from all six weeks, searchable. Developer LabsJupyter notebooks: agents, RAG, LangGraph, evals, security. Tool Setup GuideGet the free AI tools ready — with offline fallbacks. Pacing Plan GeneratorFit the course to your class schedule, then print it. Portfolio TrackerCollect one artifact per week into a capstone piece. Course CertificateGenerate proof of completion for your portfolio. CertificationsPrep courses and exams with verifiable credentials. International Advisory BoardThe educators and researchers guiding our standards. Our ApproachWhat makes the build-plus-govern method different. AgenticEd FrameworkTurn AI concepts into a governed, evidenced agent project. Trust Readiness RubricEvaluate reliability, safety, transparency, and control. FAQCommon questions from teachers and students. Privacy & Your DataNo accounts, browser-only storage, one-click deletion. Share FeedbackTell us what worked and what we should improve next.