ALEX Institute / The Completion Project

The class flow

Four classes, then the track you choose. Where you start depends on one question: are you new to AI, or already experienced?

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Ready to start? Every application is one page.

Student, mentor, subject-matter expert or guest speaker — the form asks whether you are new or experienced and lays out the class plan that follows. Name, email and the adult confirmation are the only required fields.

Class structure

New or experienced learners.

Everyone begins with Class 1. New learners then take every class in order. Experienced learners go from Class 1 straight to Class 4 — Classes 2 and 3 stay open to them as optional courses.

Path 1

New learner

All four classes, in order.

  1. Class 1Responsible AI
    Google · Responsible AI · 1 hour
  2. Class 2AI foundations
    Google · AI essentials. IBM · AI literacy.
  3. Class 3Applied AI
    Google · GenAI intro and GenAI badge. IBM · Data literacy.
  4. Class 4Impact and governance
    Google · Applying AI principles and the Generative AI leader path. IBM · AI fundamentals, six courses, includes AI ethics.
  5. ThenTrack A, Track B, or both
    Track A · IBM career pathways, free, 40+ hours each. Track B · NVIDIA Learning Essentials, free, self-paced, 1–8 hours each.

Path 2

Experienced learner

Class 1, then straight to Class 4.

  1. Class 1Responsible AI
    Google · Responsible AI · 1 hour. Nobody skips it.
  2. Class 2AI foundations
    Optional. Take any of its courses if you want them.
  3. Class 3Applied AI
    Optional. Take any of its courses if you want them.
  4. Class 4Impact and governance
    Google · Applying AI principles and the Generative AI leader path. IBM · AI fundamentals, six courses, includes AI ethics.
  5. ThenTrack A, Track B, or both
    Track A · IBM career pathways, free, 40+ hours each. Track B · NVIDIA Learning Essentials, free, self-paced, 1–8 hours each.

In Track B, only Generative AI explained needs no coding; the courses after it assume programming experience. Some Track A pathways may be eligible for college credit — confirm in writing with your Registrar or Academic Advisor.


The class flow

What a new learner takes, and what an experienced one skips.

Every class and both tracks on one page — where Track A and Track B branch, and the hours each course runs.

The Completion Project — course flow Both new and experienced learners begin with Class 1, Responsible AI. New learners continue through Classes 2 and 3 before Class 4; experienced learners go from Class 1 straight to Class 4. After the required sequence, learners may continue into either or both of two tracks: seven IBM career pathways, or the NVIDIA Learning Essentials courses. New learner Experienced Class 1 · Responsible AI Required by both tracks Google · Responsible AI · 1 hour Class 2 · AI foundations Google · AI essentials IBM · AI literacy Class 3 · Applied AI Google · GenAI intro Google · GenAI badge IBM · Data literacy Optional Class 2 courses Class 3 courses Class 4 · Impact and governance Google · Applying AI principles IBM · AI fundamentals · six courses includes AI ethics Google · Generative AI leader path Continue in either track, or both Track A · IBM career pathways * Free · 40+ hours each · advanced IBM · AI fluency 4 microcredentials IBM · Data analytics fluency 6 microcredentials IBM · Cybersecurity fluency 6 microcredentials IBM · IT support technician 5 microcredentials IBM · Business analyst 3 microcredentials IBM · Software engineering for web 6 microcredentials IBM · User experience designer 6 microcredentials * Some pathways may be eligible for college credit. Contact and confirm in writing with your Registrar's Office and/or Academic Advisor. Track B · NVIDIA Learning Essentials Free · self-paced · 1–8 hours each NVIDIA · Generative AI explained 2 hours · no coding required The courses below assume programming experience NVIDIA · Generative AI in digital health 2 hours NVIDIA · Applying AI weather models 3 hours · Earth-2 NVIDIA · Intro to NIM microservices 2 hours NVIDIA · Robot simulation in Isaac Sim 1.5 hours NVIDIA · Easier introduction to CUDA 1 hour NVIDIA · Learn OpenUSD composition arcs 3 hours NVIDIA · AI on Jetson Nano 8 hours NVIDIA · Building RAG agents with LLMs 8 hours

Open the printable version — three pages, with the evidence behind the design.

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