Module 1, lesson 1
OpenFree
Practical AI training that ends with a deployed workflow
Five role-based courses for operators and technical teams. You build on your own data, then launch it where the work happens.
- Free
- 8 modules
- 5+ hours
Courses
Find a course for your role
The five steps stay the same. The tools, the examples and the workflow you deploy change by role.
You buildAn agent workflow on your live pipelineYou buildAn agent workflow on your live pipelineApplied AI for GTM teams
Agent workflows on your own pipeline data, live in your revenue stack.
The modules
- The GTM AI operating modelOpen
- Market and account intelligence
- The messaging and campaign system
- AI-enabled selling
- Workflow deployment
- Revenue intelligence
- Experimentation and ROI
- Governance and capstone
You buildAn ingest and rough-cut pipeline
You buildAn AI use policy your team runs onAI literacy, ethics and data compliance
A working AI policy for your team, covering what the tools may touch and who checks it.
You buildModel serving on GPU cloud
You buildOne assistant for your busiest taskAI starter for small business
A short course to one measurable first win, built for owners and operators.
The method
Build, deploy, and document one workflow in five steps
Every course here runs on the same five steps, whatever you build. Every module mixes recorded lessons with guided labs you run on your own workflow.
- ProfileOpen
Choose one workflow you own and record its baseline on time, cost or quality.
- Build
Guided labs assemble the workflow on your own inputs with current models.
- Deploy
The workflow goes live in the tools your team uses every day. Launching it completes the course.
- Measure
Measure the same workflow after launch. Both numbers land on one page.
- Document
Brief, build, launch and measurement become one completion record you can share.
Eight modules run across these five steps. One free account unlocks modules 2 to 8 in every course, and the account stays free.
Enroll for freeStarts Aug 10- Recorded lessons from people who run these systems
- Guided labs on your own workflow
- Templates for the brief and the outcome sheet
- A recorded baseline and a measured result
Outcomes
Leave with evidence of what changed
Example Course A outcome
6 h 0040 min
Time to produce weekly pipeline reporting, before and after one learner deployed their workflow.
You leave with
A live workflow
Running in the tools your team already uses, and owned by you after the course.
An outcome sheet
The same measure taken before you launched and after, on one page.
A certificate
Your name, the course and a reference anyone can check, issued the day you finish.
Outcome sheet
Weekly pipeline reporting
| Measure | Before | After |
|---|---|---|
| Time per cycle | 6 h 00 | 40 min |
| Manual steps | 23 | 4 |
| People involved | 3 | 1 |
Certificate
Finish a course and the certificate is issued the same moment
Ticking the last lesson issues it. It arrives with your name on it, downloads as a PDF or an image, and carries a reference that anyone you send it to can check on this site.
What is printed on it
- Your name
- As it is on your account, with your photograph if you added one.
- The course
- Which of the five, and confirmation that every lesson in it is complete.
- A reference
- Unique, permanent, and readable aloud over a phone.
- The date
- The day you finished, recorded when it happened.
Instructors
Learn from people who run these systems in production
Working practitioners across developer experience, AI tooling, higher education, and film.
Lead instructor
All five courses
Roan Weigert
Developer Relations AI Engineer, San Francisco
Hackathon judge and AI content creator, and host of the AI Insights San Francisco podcast. Writes this curriculum and records every core lesson.
The bookWorld Models Applied in Video Production
Aaron Jimenez
View profile, Aaron Jimenez on LinkedIn
Hendrik Krack
View profile, Hendrik Krack on LinkedIn
Loc H. Nguyen, Ed.D.
View profile, Loc H. Nguyen, Ed.D. on LinkedInPatrick Kriwanek
View profile, Patrick Kriwanek on LinkedIn
Learning as a team
Run the course as a team
Everybody takes the course closest to their own job, so one team can cover several at once. Each person keeps their own labs, baseline and outcome sheet, and the group picks a single launch date. On that date every one of them has a working system and a measured before-and-after to show.
Shared launch
One date, three working systems
- RevOps analystCourse AA pipeline agent
- Post supervisorCourse BA rough-cut workflow
- Platform engineerCourse DA serving stack
Review Judge board
Practitioners judge the curriculum and the events
Every judge on this board runs these systems in production. They read the courses each term, the lessons, the labs and the outcome sheet a learner leaves with, and they sit on the panel that judges the events where learners present the workflows they deployed.
Liz Zhang on the Review Judge BoardLiz Zhang
The AI Collective
AI developer relations, two companies founded, and a community of 250,000. Studied at KTH Royal Institute of Technology.
Yunbin Bae on the Review Judge BoardYunbin Bae
a1mobile
Design and human-computer-interaction research, and one company founded. Studied at the University of Maryland.
Abhinav Balasubramanian on the Review Judge BoardAbhinav Balasubramanian
NVIDIA
Generative AI, agentic systems, RAG and AI observability. Studied at San Jose State University.
Abhi Vasanth on the Review Judge BoardAbhi Vasanth
Pacific Gas and Electric
Data engineering at one of the largest utilities in the United States. Studied at Udacity.
Sachin Gupta on the Review Judge BoardSachin Gupta
eBay
Engineering leadership on systems built for massive scale. Studied at the University of Colorado Boulder.
Community partners
The AI communities this program partners with
Two independent organisations, each described in its own words.
Questions
Common questions
It is free. The first module of every course opens instantly, and one free account unlocks the rest of that course. Everything on this site is free to use.
It is a non-commercial education project that Roan funds and runs. Every course stays free to use, and this site exists to teach rather than to sell.
A course completes when your workflow runs live and you have measured it. You record a baseline in module 1, launch the workflow into a working environment, then measure the same thing again. That pairing is what makes the completion record worth sharing.
Yes. The first module of every course plays for everyone, with a free account needed only from module 2.
Name, role, organization, and a few questions about the workflow you want to improve. It takes about a minute, and it is what lets the guided labs use your own workflow as the project.
One workflow you own, permission to change it, and the tools your team already uses. Applied AI infrastructure also assumes access to a GPU cloud account, and AI starter for small business runs on everyday business tools.
A one-page record inside the course. Before you launch, you note a baseline on time, cost, or quality. After you launch, you measure again. The sheet holds both numbers and the difference between them.
Pick by the work you are responsible for. GTM teams for marketing ops, RevOps and growth. Video and media for production workflows. AI literacy, ethics and data compliance for whoever owns how a team uses AI. Infrastructure for developers who own serving. The small business starter is a short first win before a longer course.
Roan Weigert records the core lessons that establish the method. Specialist sessions come from invited practitioners who run these workflows in production, and the Practitioner Review Judge Board reads the courses each term and judges the events where learners present what they deployed.
Yes. Each person enrols individually, so each gets their own labs, baseline and outcome sheet. Groups usually set one shared launch date and review the deployments together.
It stays inside this program. Your profile and progress run your course and build your outcome record, and you can request a copy or deletion at any time.
Start with your first lesson
Pick the course closest to your job, watch the first lesson, and finish with a written baseline for one process you own.
Enroll for freeStarts Aug 10Or start somewhere else