This test automation introduction helps you build the judgment behind useful automated tests. Before creating a flow in STELA, learn to define the question a test should answer, the rule it should check, and the evidence needed to support its result. A completed action is only one part of a test; the course shows how to turn actions into meaningful checks. You will work with STELA STORE, a fictional online store, using teaching specifications and simulated execution records. Select automation candidates by considering risk, repetition, stability, and maintenance. Then design valid, invalid, and boundary cases with clear starting conditions and expected results defined before you inspect the outcome. The course also develops your ability to investigate discrepancies. Distinguish observations from assumptions, identify what remains unchecked when a blocker occurs, and review AI-generated proposals for missing checks. Guided activities, a fillable workbook, reference sheets, and questions with feedback help you practice these decisions throughout the course. In the final workshop, you will justify your selection, present three test cases, review an AI proposal, and explain a blocker. Individual review includes applying your reasoning to a new situation. Designed for people beginning their testing journey, the course requires no programming, STELA installation, or store account. It prepares you to build and execute tests in STELA – QA Fundamentals.

– Getting started: prepare your workbook, use the reference materials, and understand the final assessment.
– Testing and automation: distinguish actions, checks, and results, and understand what automation contributes to testing.
– Selecting what to automate: assess risk, repetition, stability, maintenance, and the role of exploratory testing.
– Designing test cases: define preconditions and expected results, cover valid, invalid, and boundary values, and review AI proposals.
– Interpreting results: compare evidence with the rules, separate facts from hypotheses, and document discrepancies and blockers.
– Final workshop: justify an automation selection, design three cases, review a proposal, and explain your decisions.