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QA Automation Engineers who do not use AI for coding will be replaced by those who do
Join the live AI AutoTest Workshop and become an AI-powered SDET.
Go from zero AI skills to leading multiple AI agents that write tests for you. You are the brain. They are the workers.
AI AutoTest is not an AI course.
It is a QA-specific agent workflow system that shows you how to set up, run, verify, and reuse AI coding agents on real test automation work.
AI AutoTest Workshop Summary
What you get
The skills to manage AI coding agents that work instead of you and produce high-quality test automation code no different from code written by a strong human engineer.
You become the team's AI coding expert, the person teammates ask for help and managers do not want to replace.
Why you can get there
You learn a repeatable AI workflow from a Principal SDET through theory and live practice with real test automation examples.
Plus, you get ready-to-use templates, prompts, and verification steps that you can drop into your work repository.
How much time you need to spend
3 live sessions, about 6 hours total. Sessions happen after 5 PM PST, and you get the recordings after each class.
Effort
AI coding agents are just tools, same as Playwright, Python, or GitHub. If you were able to learn any of those, learning AI coding agents will be a walk in the park.
Why this workshop works
- Led by Matviy Cherniavski, a Principal SDET with 10 years in QA automation who has helped individuals and teams learn and integrate AI into their test automation workflows
- The AI AutoTest Workshop combines theory, hands-on practice, and real AI test automation workflows so by the end you have everything you need to integrate it at your job and put it on your resume
- Part of the AI & QA Accelerator online community with ~600 members learning AI coding agents for test automation
Skool community previews
Testimonials
Member story — Rey
Member story — Matt
5-question self-check
Take this quick assessment and see whether your AI workflow meets 2026 standards for QA automation
Question 1 of 5
What is the main role of Context when using an AI coding agent?
Why AI feels random in QA work
You open Cursor, ChatGPT, or Copilot. You describe the task. You get code back. You run it, it breaks. You tweak the prompt, try again, get something different that is still wrong.
You spend more time fixing AI output than writing clean code yourself.
You do not know which model to pick, you do not know how to structure the task for an agent, and you have no workflow to verify whether the output is even correct.
Meanwhile, other engineers on your team have made it part of their daily workflow. They are shipping faster and the results are visible to management.
AI is also showing up on interviews more and more, with hiring managers asking AI-related questions directly. And inside current teams, management is starting to expect everyone to use AI for coding, not just seniors.
Before and after AI AutoTest Workshop
But all of that can be solved with AI AutoTest Workshop.
After the workshop, you'll know how to:
- Structure AI-agent workflows for real QA automation tasks
- Prepare your repo so AI coding agents understand your patterns and constraints
- Guide AI coding agents to write code your way and follow your rules
- Reduce AI slop by creating workflows with context, review loops, and guardrails
- Talk about AI-assisted QA automation as a serious modern SDET skill
AI AutoTest Workshop covers:
- 1
Theory for model and tool decisions
- Which model and tool to use for which task, and when to switch
- Core concepts: context windows, token limits, prompt structure, agent modes
- How to talk about AI in QA interviews
- 2
Hands-on QA automation tasks
- Every example is a real automation task: API tests, UI tests, test data setup
- Examples built with Cursor, Python, and pytest
- Usable at work after the first session
- 3
Practical AI workflows and prompt packs
- AI generated code quality checklist
- AGENT.md prompt for your automation repository
- Skill-files pack for repeat QA tasks
- Example workflows for API tests, UI tests, and test data setup
- Resume and interview wording to explain your AI QA workflow
Workshop uses Cursor + Python + pytest
- We use a simple beginner-friendly setup so the workflow is easy to follow.
- What you learn is not tied to that stack. The same AI workflows, prompts, instructions, and quality checks transfer to other tools and frameworks.
- AI handles many stack-specific details. Your job is to set up the task well and verify the output.
This workshop will work for you if you use:
AI tools
- Cursor
- Copilot
- Codex
- Claude Code
Languages
- Python
- TypeScript
- JavaScript
- Java
- C#
Test frameworks
- pytest
- Playwright
- Cypress
- Selenium
- WebdriverIO
How it is delivered
- 3 live sessions, about 2 hours each, after 5 PM
- Access through the Skool community
- Video recordings, AI instructions, prompts, and all other artifacts available in Skool after the live sessions end
Watch these short snippet clips to preview the AI AutoTest Workshop
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AI writes prompts. Not you.
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What is Harness?
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No more typing. Use voice commands.
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AI writes API tests.
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Train your AI with skills.
Cohort schedule and pricing
You get live interactive sessions in small groups.
This month's price: $997. Then $1299.
Next workshop week: May 25–31, 2026
Exact session times and dates are discussed on the call for qualified students.
Knowing AI for QA automation is no longer optional in 2026. Companies are requiring it.
You can try to learn it alone, but that path is expensive: months stitching together YouTube videos, articles, and generic AI courses, plus thousands of dollars spent on AI agents just to learn the basics.
Or you can use a shortcut and become an AI-ready QA engineer in just 3 days for a fraction of the self-learning cost with the AI AutoTest Workshop.
TIP: Many companies can reimburse this as professional training. Ask your manager about the learning budget. That may make the workshop FREE for you.
See If This Workshop Is For You
Answer a few short questions and, if it looks like a match, book a 15-minute call right away.
This workshop is not for you if:
- You have no test automation experience
- You are looking for a recorded course or cannot attend live sessions
Refund and Guarantees
Attend the first session live. If you don't like it for any reason, request a full refund before the second session starts. No questions asked.
There is no risk. There is only upside.
Best case
You learn how to use AI on real QA tasks, secure your position at your current job, and deliver the AI-level output your management is starting to expect.
Worst case
You attend the first session, decide it is not for you, and get every dollar back.
Frequently asked questions
Does everyone who applies get accepted?
No. We keep the workshop small and selective. The application and short call help us confirm whether the workshop is the right fit before anyone joins.
Who typically joins the program?
Usually QA Automation Engineers, SDETs, and QA professionals who already work with test automation and want to use AI more effectively in real workflows.
How many students are typically in each live class?
We keep it small. Our target is no more than 3-4 students per live class so everyone gets direct attention.
How can I ask questions between live classes?
You can ask questions during the workshop sessions, and after class you can reach out through private messages in Skool.
How long is each live class?
About 2 hours per session. The workshop is delivered across 3 live sessions, ~ 6 hours total.
Do I get recordings of each live training?
Yes. You get recordings for each live session.
How long do I retain access to the training library?
Forever. You keep access to the training library after the workshop ends.
What's the difference between this and buying a video course?
AI work is not one-size-fits-all. People join with different backgrounds, tools, and workflows, so a static course cannot adjust to each student. The live workshop solves that by giving you direct guidance, space to ask unlimited questions, and post-workshop support inside the Skool group.
Will this still work if I use a different AI tool, language, or test framework?
Yes. The workshop uses Cursor, Python, and pytest as the teaching setup because it is simple and easy to follow. But what you learn is the workflow: how to structure the task, guide the AI, and verify the output. That still applies if you use Copilot, Codex, Claude Code, TypeScript, JavaScript, Playwright, Cypress, Selenium, or a similar stack.
Can I get a refund?
Yes. If you attend the first live session and decide the workshop is not for you, you can get a full refund before the second session starts. No questions asked.
When does the workshop happen?
Dates are flexible because we organize each group carefully and keep cohorts small. Apply to the workshop and book the 15-minute call, and we will go through the available timing with you.
Where is the workshop conducted?
The workshop is conducted inside Skool. After you join, you get private access to the live workshop area, notes, and workshop materials.
Can it help me get a job?
Absolutely. You learn the language, theory, and workflows in the workshop, so you will be able to put it on your resume and talk about it confidently in interviews. As of 2026, AI in testing is extremely common in technical interviews.
Is this something I can use at my current job?
Yes, and that is one of the strongest parts of the workshop. It teaches you repeatable AI workflows and ready-to-use prompts that you can drop straight into your team's repository. Your whole team benefits — and you become the go-to AI expert on your team.