PREPARATORY PROGRAM · EN / ES · TI-AI-01
AI workflow operations and evaluation
Separate business need, hypothesis and evidence.
A pathway connecting foundations, guided practice and a capstone using fictional data. Explore the learning sequence and prepare before opening the lessons.
YOUR LEARNING SEQUENCE
Six modules, step by step
This summary introduces each module’s topics and purpose. Full explanations, exercises and student materials are available through Academy access.
AI1 · 12 h · 3 lessons
Problem and evidence
Separate business need, hypothesis and evidence.
View this module →AI2 · 12 h · 3 lessons
Data and provenance
Prepare documented synthetic data and validate quality.
View this module →AI3 · 12 h · 3 lessons
Local baseline model
Compare a simple rule with a local classification model.
View this module →AI4 · 12 h · 3 lessons
Result evaluation
Measure errors, bias and out-of-scope cases.
View this module →AI5 · 12 h · 3 lessons
Operations and changes
JSON contract, local function, six positive/negative tests and synthetic audit log.
View this module →AI6 · 12 h · 3 lessons
Evaluation capstone
Deliver a local model with tests, limitations and an oversight plan.
View this module →
BRING YOUR LEARNING TOGETHER
Your capstone project
Create a local classifier of fictional tickets, compare it to a rule, evaluate errors and document abstention conditions. Requires no paid generative model. Integrate the new lab: Secure API contract without an external service.
How to work
- Read the explanation and example before practicing.
- Use simulations, fictional records and local tests.
- Document results, errors and limitations.
- Save evidence before closing; progress is not recorded automatically.
PREPARATION
Before you begin
Functional reading, basic arithmetic and file management. Complete an entry diagnostic.
Materials in Spanish and English, browser simulators and downloadable exercises. Python exercises require Python 3.10 or later; opening this page does not install software. The introductory bridge and alternatives without software are in the student materials.
LEARNING ACCESS
Continue to the lessons
This presentation is public. Lessons, downloads and simulators require a verified, active account, active membership and permitted Academy access. Cohort enrollment is not open and no external pilot is being announced.