Use AI at every stage of testing and test an AI feature yourself. Learn how large language models work and how to prompt them for test tasks, use an assistant for analysis, test design, test data, scripts, queries, bug reports and reporting while catching what it invents, review what a test agent did, then test a shop's customer chat assistant: judge answers that change from run to run, red-team it, build an evaluation set and compute its metrics, and write your team's rules for AI. For testers who already write test cases, use Postman and read SQL.
13 lessons · 178 stepscertificate
Course program
The full outline. Lessons open when the course does.
Day 1: how the assistant works
How large language models work14 steps
Prompts for test tasks14 steps
Days 2 to 6: the assistant at every stage
Test analysis and planning with AI16 steps
Test design and test data with AI21 steps
Scripts, queries and bug reports with AI15 steps
Agents, RAG and regression12 steps
Monitoring and reporting with AI16 steps
Days 7 to 9: testing the chat assistant
Testing an AI feature15 steps
Red teaming the chat assistant13 steps
Evaluation sets, bias and metrics12 steps
Day 10: the pilot review
Risks, rules and adoption15 steps
The pilot review9 steps
The pilot review: the recommendation6 steps
The author
Artsiom Rusau – QA engineer and course author. He has tested software since 2019 and has taught software testing since 2020.