COURSE V2 · DECISIONS AND EVALUATION

A better decision.
One step at a time.

Learn how to choose where to use Jev, draw clear criteria, and test the outcome before automating. Take a decision from your work’s first example to the finished project.

Start the first lesson →Explore the learning tracks
36 complete lessons12 labs3 progressive learning tracks18h estimated journey
0/72 steps · 0%

Study at your own pace

Start without code in learning tracks 1 and 2. Track 3 uses JSON, the terminal, and Python. Each lesson includes explanation and hands-on practice: there are 72 reading steps, without increasing the 36 lessons. Select text to annotate, mark your questions, and use My learning journey to export your progress. There’s no exam blocking the next lesson.

Open my decision roadmap · Materials and labs

Choose your starting point

LEARNING TRACK 1

Understand

Understand the questions, the errors, and the full cost.

0/72 steps · 0%
See the four modules →
LEARNING TRACK 3

Build and evaluate

Integrate, compare alternatives, and design a supervised pilot.

0/72 steps · 0%
See the four modules →

What you’ll have at the end

A specified decision, boundary cases, a human reference separate from the tuning, and an observation policy. You’ll also know how to reuse the project’s 17 packages and distinguish demonstration from evidence.

The examples are fictional. The course does not measure the quality of Jev in your data; it teaches you how to do that evaluation.

Roadmap and scoring rubric composition in the project