Program · 12 months · Application only
In twelve months you build LLM tools and models you can put into production and defend: grounded in the data, tested and automated.
You already build models for a living or close to it. You want the year that adds LLM tools, verification and production to what you can do.
You are applying for a son or daughter. Apply on their behalf; the first call includes them, and the plan is written for where they are now.
You are developing someone on your staff. The plan is built around your work, and we invoice your company directly.
You finish with four mentor-reviewed portfolio projects, one from each quarter, and the Credly certificate. We do not promise a job, and nobody honestly can.
This is the standard path. Your custom plan starts from it and moves with what you already know. Everything named is in your Membership access.
Machine learning and LLMs together, plain-language questions over data, and an agent that produces data.
Portfolio project, mentor-reviewed. An agent with a record of every answer it gave and the data each one came from.
Machine learning, the Bayesian workflow and sampling in practice.
Portfolio project, mentor-reviewed. A model with its diagnostics, and a written case for the method you chose.
A pipeline with a verifier, faster inference, and data that is not all there.
Portfolio project, mentor-reviewed. A verifier for one of your own tools: what it checks, and what it cannot check.
An app that stays responsive, in a container, on an automated pipeline.
Portfolio project, mentor-reviewed. One of your tools in production, with its checks running on a schedule.
Michael is the lead and principal mentor of every program, and personally assigns each person a one-on-one mentor from the team. You meet one-on-one every month, with Slack support between, and a mentor reviews your portfolio project each quarter.
PhD · Principal Data Scientist, AI @ Broadata Communications
Teaches the method the way it is used in the role above. The team page lists everything they teach here.
Also teaches Build a 3D Athlete from a Single Photo.
Michael Czahor, Principal Data Scientist, AI at Broadata Communications, holds a PhD. Before that, Michael was Lead Quantitative Analyst with the Phillies, Principal Quantitative Analyst with the Tigers and Special Assistant, R&D with the Marlins. On AthlyticZ, Michael teaches Build a 3D Athlete from a Single Photo.
Their sessions, workshops and courses are on your roadmap. Your one-on-one mentor is assigned by Michael from the team, for the plan you are on.
Nic CranePhD · Consultant @ NC Data Labs
Christoph ScheuchPhD · Associate Researcher @ Humboldt-Universität zu Berlin
Saiprasad Kagne
Patrick McFarlaneDirector of Predictive Modeling @ Philadelphia Phillies
Scott SpencerPhD · Lecturer, Applied Analytics @ Columbia University
Chris FonnesbeckPhD · Biostatistics @ Vanderbilt University Medical Center
Greg MatthewsPhD · Director, Center for Data Science and Consulting @ Loyola University Chicago
Veerle Eeftink-van LeemputDirector @ Hypebright B.V.
Stefan LinnerFounder & R Developer @ LinneRProgramming
Jasmine DalyPrincipal Consultant @ Daly AnalyticsYou build an agent that turns unstructured text into structured data, the way the cricket commentary session does, and a verifier that checks what it produced. You record what the verifier catches and what it cannot, and deploy both on an automated pipeline. Your mentor reviews the agent, the verifier and the record before it goes in your portfolio.
No. Nobody can promise you a job, and we do not. The program is twelve months of mentored work, a reviewed portfolio, interview prep and a clear view of what current postings ask for. What you do with it is yours.
Michael leads the program and is your principal mentor. After your first call he personally assigns you a one-on-one mentor from the team, chosen for the plan you are on. The instructors listed on this page teach the material on your roadmap; they are not all personal mentors.
Fill in the form with their details and say in the last field that you are applying for them. The first call is with both of you.
Yes. Choose Employer under who is funding it, and we invoice your company directly.
$6,000 once, 6 payments of $1,000, or 12 payments of $500. PLUS is priced on request; ask on the call.
Seats are limited each quarter, because every person has a mentor. If the quarter is full, we tell you on the call and offer the next one.
A 20-minute call with Michael, then your custom plan with your one-on-one mentor named. You decide after you have read the plan.
About 3 minutes. It opens right here.
Rather talk first? Book twenty minutes with Michael.
Opening your application.
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Calendly has sent the invitation to your inbox, with the link for the call. Michael will see you then.
We've teamed up with AthlyticZ to supercharge how we use data science and statistics to impact our sports. More clarity in the numbers means bigger results for our athletes.
AthlyticZ has completely transformed the learning approach to data science through the use of sports-based problems. The instructors are the best of the best, and the practical projects have immediate impact to students.
The sports industry moves fast. Managing the pace of evolving technology, data, and AI isn't optional - it's imperative. Our Analytics team was looking for a partner to meet us where we are, to help us in the continued investment of our people and capabilities without pulling us away from the work that matters. AthlyticZ delivers exactly that: a structured, practitioner-led platform that fits how modern sports analytics groups actually operate.