
Accredited IT course
AI in Software Testing Course
- Accredited by the Romanian Ministry of Education and Research
- Accredited by the Romanian Ministry of Labour, Family, Youth and Social Solidarity
- Certificate of completion issued by Educație Informală SA, conditional on presenting the final project
- BONUS: FREE access to live Artificial Intelligence workshops even after you graduate
Start date
Octombrie
Duration
2.5 months · 50 hours of training with mentors
Schedule
2 days/week x 2.5 hours · 18:30-21:00
Format
Online
Bonus
Free live AI workshops, even after graduation
In the AI in Software Testing course, you'll learn how to automate and streamline your work processes by integrating AI (artificial intelligence) across the entire Manual & Automated Software Testing process, from analysis and test design to automation, API testing, and AI workflows.
The AI in Software Testing course is right for you if:
- You have knowledge of software testing, test design, API testing, and test automation, or you work in QA and want to develop your skills by using AI in manual and automated testing activities.
- You have intermediate English, enough to effectively use AI technologies, go through technical documentation, and understand specialized terminology.
- You have analytical thinking, attention to detail, a focus on streamlining processes, and openness to using new technologies.
What you walk away with after completing the AI in Software Testing course
- You'll use AI tools, Prompt Engineering, and Context Engineering techniques for QA activities;
- You'll analyze requirements, identify risks, and prioritize testing with the help of AI;
- You'll generate mind maps, scenarios, test cases and test data, including edge cases and negative tests;
- You'll develop, refactor, and debug UI Automation tests with Selenium/Playwright, assisted by AI;
- You'll design and automate REST API tests, including starting from OpenAPI/Swagger specifications;
- You'll use AI to analyze errors and logs, for bug reporting, and to generate test reports;
- You'll build AI workflows for QA, using AI agents, playbooks, and skills for manual and automated testing processes.
What will you learn in the online AI in Software Testing course?
10
modules
52
topics
01Module 1: AI Fundamentals for Software Testing
- Introduction to Artificial Intelligence, Machine Learning, and Generative AI concepts
- The role of AI in the Software Development Lifecycle (SDLC) and Software Testing Lifecycle (STLC)
- Understanding the capabilities and limitations of AI models in QA activities
- Prompt Engineering and Context Engineering principles for Software Testing
- Responsible use of AI and validation of generated results
02Module 2: AI-Assisted Requirements Analysis & Test Planning
- Analyzing and clarifying functional and non-functional requirements using AI
- Identifying ambiguities, dependencies, and missing information in requirements
- Applying Risk Analysis techniques to identify and prioritize critical areas
- Defining the test strategy and test plan with AI support
- Setting priorities, the test coverage level, and the types of testing required
03Module 3: AI-Assisted Test Design & Test Data
- Creating Mind Maps to analyze functionality and identify testing areas
- Defining test scenarios and test cases using AI-assisted test design techniques
- Applying testing techniques
- Generating positive, negative, and edge-case tests with AI support across different formats
- Generating, organizing, and validating test data for different scenarios
04Module 4: AI-Assisted UI Test Automation I
- Using AI to develop automated UI tests
- Generating and improving locators, assertions, and test flows
- Creating and organizing automation frameworks
- Automating functional scenarios using Playwright or Selenium
- Applying best practices to develop and validate AI-generated code
05Module 5: AI-Assisted UI Test Automation II
- Extending and maintaining test automation frameworks
- Generating and refactoring Page Objects and reusable components
- Generating test data, fixtures, and configuration mechanisms
- Analyzing and improving unstable tests (Flaky Tests)
- Using AI for debugging, code review, and improving the maintainability of automated tests
06Module 6: AI-Assisted API Testing
- Analyzing OpenAPI/Swagger documentation using AI
- Generating test scenarios for REST APIs
- Validating requests, responses, status codes, headers, and JSON payloads
- Generating functional, negative, and edge-case scenarios for APIs
- Developing and organizing automated API tests with AI support
07Module 7: AI in Software Testing Activities
- Using AI to analyze results and investigate issues identified during testing
- Analyzing logs, stack traces, error messages, and other technical information sources
- Creating and improving Bug Reports using AI
- Generating Test Reports, Test Summary Reports, and Release Recommendations
- Using AI for documentation, test evidence, regression analysis, and other recurring activities in the Software Testing process
08Module 8: AI Workflows for Manual Testing
- Introduction to AI workflows and Agentic AI applied to Manual Testing activities
- Organizing project context and defining working rules for AI agents
- Creating Playbooks, Skills, and reusable instructions for QA activities
- Configuring workflows for Requirements Analysis, Risk Analysis, Test Planning, and Test Design
- Orchestrating AI agents and validating results in a complete Manual Testing process
09Module 9: AI Workflows for Test Automation
- Extending AI workflows for UI and API Test Automation
- Creating Playbooks and Skills for generating, running, and maintaining automated tests
- Using AI agents for Automation Planning, Code Generation, Code Review, and Debugging
- Applying Specification-Driven Development and Agentic AI concepts in Test Automation
- Building a complete workflow in which AI assists the process from specification through test execution and analysis
10Module 10: Final Hands-on Project
- Applying the concepts learned in a complete Software Testing project
- Analyzing requirements, identifying risks, and defining the test strategy
- Creating Mind Maps, test scenarios, and test data using AI
- Developing and running UI and API tests with AI support
- Using the workflows, Playbooks, and Skills developed throughout the course
- Analyzing results, reporting defects, and formulating a final recommendation on product quality
- Presenting the solution and explaining how AI was used in the testing process
A complete AI in Software Testing package, with all the benefits included
- 50 hours of LIVE training and step-by-step guidance from the mentor
- 10 practical modules, directly applicable to real projects
- BONUS: FREE access to live Artificial Intelligence workshops even after you graduate
- 100% free knowledge assessment test before you start the course
- Lifetime access to the Informal School of IT community, where you get discounts, free invitations to top IT conferences, and other benefits
Everything is included in the course price
Total course price747€
Full payment with a 10% discount
672 €747 €
Installment payments at the Informal School of IT
3 installments x 249 € / month
Installment payments with a 5% discount
Installment payments with a 10% discount
When you graduate from the AI in Manual & Automated Software Testing course, you get
- Graduation Certificate issued by the Romanian Ministry of Labour, Family, Youth and Social Solidarity and by the Romanian Ministry of Education and Research, accepted in the European Union as well as in the USA and Canada
- Digital Skills Accreditation
- Diploma issued by Educație Informală SA, recognized by employers

Who takes the AI in Software Testing course
- Professionals who have Software Testing knowledge or work in QA and want to develop their skills by using AI in manual and automated testing activities.
- Professionals who want to automate and streamline their work processes and gain skills relevant to the evolving roles of QA and Test Automation Engineer.
What advantages does the AI in Manual & Automated Software Testing course bring you
- It helps you reduce the time spent on repetitive, time-consuming tasks and focus on strategic decisions.
- You move from simple chat queries to building and orchestrating your own AI agents that autonomously handle complex QA tasks.
- You get past coding barriers more easily, writing, optimizing, and debugging automated tests faster.
- You finish the course with an end-to-end project applied to a real case, immediately demonstrating the added value you can bring to a team.
- You walk away with a set of playbooks and skills you can put to use in your current project from day one.
- You stand out clearly in the industry by mastering cutting-edge technologies, evolving from a traditional tester role into a modern QA Specialist, ready for the future of software testing.
Our graduates work at the biggest IT companies


















































































































































AI in Software Testing
Enroll in the course
Your investment in education: risk-free. You don't have to pay anything now. All you need to do is fill out the enrollment form. Afterwards, you get free career counseling and an initial assessment, to make sure this course is right for you and your goals.
Payment is made only after signing the enrollment contract, once you decide you want to move forward. It's simple, transparent, and comes with no upfront financial obligations. Our goal is for YOU to reach your goals.
- 1Fill in the form — it takes a minute, no payment.
- 2A counsellor calls you: free initial assessment and career advice.
- 3Sign the contract and pay in full or in interest-free instalments.
AI in Software Testing