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AI IN QUALITY ASSURANCE

An 8-session professional course for QA engineers who want to go beyond prompting and build structured, agent-driven testing workflows.

Learn how to configure AI for your testing standards, connect agents to real systems, run quality gates in CI, investigate failures, and build reusable QA skills your team can actually use.

What is this course

A QA UPGRADE

You already know how to test.
Now learn how to make AI test with you.

This course isn't about collecting AI tools.
It's about understanding how AI behaves, where it fails, and how to turn it into a reliable part of your QA workflow.

  • 01

    Understand AI

    Know how LLMs generate answers, why confident output can still be wrong, and how context affects the quality of generated test cases.

  • 02

    Standardize your QA

    Teach the agent how your team tests by turning standards, instructions, workflows, and repeatable tasks into reusable Skills.

  • 03

    Build workflows

    Connect AI to tickets, test systems, CI pipelines, pull requests, logs, and real QA processes instead of keeping it inside a chat window.

Who is this for

BUILT FOR QA WORK THAT HAPPENS IN THE REAL WORLD

  • QA Engineers

    Who already experiment with AI but want a more systematic and reliable way to use it in their daily work.

  • Manual QA Engineers

    Who want to accelerate requirement analysis, test-case creation, exploratory testing, and bug investigation.

  • Automation QA Engineers

    Who want to connect AI workflows with CI, pull requests, test infrastructure, and automated quality gates.

Curriculum

EIGHT SKILLS.
ONE MONTH.

  1. 01

    LLM ANATOMY

  2. 02

    CONTEXT

  3. 03

    STANDARDIZATION

  4. 04

    TOOLS & MCP

  5. 05

    CI QUALITY GATES

  6. 06

    AGENTIC WORKFLOWS

  7. 07

    REAL QA USE CASES

  8. 08

    OWASP Reviews & Agentic Attack Surface

Final Project

DON'T FINISH WITH A COLLECTION OF PROMPTS. FINISH WITH A QA SYSTEM YOU CAN REUSE.

By the end of the program, you'll have a working set of QA Skills and agents ready to plug into your team's testing workflow.

Join the Bootcamp
  • 01

    Test Case Workflows

    Reusable workflows for analyzing requirements and generating structured test cases.

  • 02

    CI Quality Gates

    Agent-driven checks that can become part of your development and pull-request process.

  • 03

    Exploratory Testing

    Agents that explore a target, identify failures, and help turn observations into actionable hypotheses.

  • 04

    Smarter Test Execution

    Workflows for flaky-test detection, intelligent test selection, monitoring, and failure investigation.

  • 05

    Security Review

    A reusable security-review Skill based on OWASP principles and designed for agentic systems.

Start your journey at ACA X

Master AI skills.
Build your future.
Lead the change.

Course Fee: 100,000 AMD

Get up to 100,000 AMD back if you submit your annual tax declaration and have income tax.

Secure your spot now

Add your details and proceed to payment.

About ACA

ACA X IS BACKED
BY 10 YEARS OF
TECH EDUCATION

ACAx is the professional AI direction of Armenian Code Academy - one of Armenia's most established tech education institutions, founded in 2015.

For a decade, ACA has trained engineers, designers, product managers, and data professionals who now work at global companies, local unicorns, and fast-growing startups. ACAx is the next evolution -professional AI skills for everyone, not just engineers.

  • 10+YEARS IN TECH EDUCATION
  • 17K+TOTAL GRADUATES
  • 100+PARTNER COMPANIES
  • 300+TUTORS

FREQUENTLY ASKED QUESTIONS

Who is this course designed for?
The course is designed for QA engineers who want to move beyond occasional AI use and build structured, repeatable AI-assisted testing workflows.
Do I need prior knowledge of AI tools?
You don't need deep AI expertise. The course starts with how LLMs work and gradually moves into context, agents, MCP, CI workflows, evaluation, and security.
Will we work with real QA workflows?
Yes. The sessions include issue tickets, test management systems, pull requests, GitHub Actions, exploratory testing, logs, monitoring, security reviews, and workplace use cases.
What will I have by the end of the course?
You'll leave with reusable QA Skills and agents covering test-case generation, CI quality gates, exploratory testing, triage, and security reviewβ€”ready to adapt to your own team's testing workflow.