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.
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.
Now learn how to make AI test with you.
01
02
03
Understand AI
Standardize your QA
Build workflows
Know how LLMs generate answers, why confident output can still be wrong, and how context affects the quality of generated test cases.
Teach the agent how your team tests by turning standards, instructions, workflows, and repeatable tasks into reusable Skills.
Connect AI to tickets, test systems, CI pipelines, pull requests, logs, and real QA processes instead of keeping it inside a chat window.
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.
It's about understanding how AI behaves, where it fails, and how to turn it into a reliable part of your QA workflow.
Who already experiment with AI but want a more systematic and reliable way to use it in their daily work.
QA Engineers
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.
Who is this for
BUILT FOR QA WORK THAT HAPPENS IN THE REAL WORLD
CI QUALITY GATES
05
TOOLS & MCP
04
REAL QA USE CASES
OWASP Reviews & Agentic Attack Surface
07
08
AGENTIC WORKFLOWS
06
STANDARDIZATION
03
CONTEXT
02
LLM ANATOMY
01
Curriculum
EIGHT SKILLS.
ONE MONTH.
ONE MONTH.
Final Project
DON'T FINISH WITH A COLLECTION OF PROMPTS.FINISH WITH A QA SYSTEM YOU CAN REUSE.
01
02
03
Test Case Workflows
CI Quality Gates
Exploratory Testing
Reusable workflows for analyzing requirements and generating structured test cases.
Agent-driven checks that can become part of your development and pull-request process.
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.
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.
Add your details and proceed to payment.
Secure your spot now
Start your journey at ACA X
Course Fee: 100,000 AMD
Get up to 100,000 AMD back if you submit your annual tax declaration and have income tax.
Master AI skills.
Build your future.
Lead the change.
Build your future.
Lead the change.
X
About ACA
ACA X IS BACKED
BY 10 YEARS OF
TECH EDUCATION
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.
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
PARTNER COMPANIES
100+
300+
TUTORS
FREQUENTLY ASKED QUESTIONS
The course is designed for QA engineers who want to move beyond occasional AI use and build structured, repeatable AI-assisted testing workflows.
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.
Yes. The sessions include issue tickets, test management systems, pull requests, GitHub Actions, exploratory testing, logs, monitoring, security reviews, and workplace use cases.
You'll leave with reusable QA Skills and agents covering test-case generation, CI quality gates, exploratory testing, triage, and security review—ready to adapt to your own team's testing workflow.