Implementing AI in Software Testing | AI in Test Automation Training in Norway

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 1 Day
  • Price: From €1,700+VAT
  • Upcoming Date:
  • UK Based Global Training Provider
AI for Software Testing: Integrate innovative AI-powered tools and techniques into your testing workflow, enhancing the quality and efficiency of your projects.

AI is beginning to reshape how testing is planned, written, and maintained, and this course helps you build the skills to apply it in ways that actually make your work easier. Whether you are creating test cases, choosing what to run, or reviewing failures, you will learn how to use AI tools to speed things up, reduce repetitive effort, and improve coverage. You will work hands-on with tools like ChatGPT, Testim, Copilot, and Codeium to generate test data, build tests from user stories, and support smarter decisions about what to test and when.

You will practice spotting flaky or redundant tests, creating self-healing flows, and using AI to explain what went wrong in a failing run. You will also explore how AI can predict risk based on commit history or past bugs, helping you focus on the areas that matter most. The course will show you how to plug AI into common testing workflows, including CI/CD tools like GitHub Actions, and how to write prompts that give you useful, accurate results. You will get examples, use cases, and guided labs that you can use right away in your own projects.

This expert-led, one-day course is designed for software testers who are new to AI but already familiar with core testing practices. It is about 50 percent hands-on, with labs built around common tasks that testers perform every day. Whether you are working in a manual, automated, or hybrid role, this course will help you start using AI in ways that are practical, helpful, and easy to build on.



Who Should Attend?

This course is designed for software testers who are new to using AI and want to learn how to apply it confidently in real testing environments. It is ideal for QA professionals, test engineers, SDETs, or manual testers who want to add AI-assisted workflows to their skillset. The course is beginner-friendly when it comes to AI, but assumes a basic understanding of software testing concepts.

We can organize this training at your preferred date and location. Contact Us!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

This course is designed for experienced software testers who are new to using AI and want to learn how to apply it confidently in real testing environments. It is ideal for QA professionals, test engineers, SDETs, or manual testers who want to add AI-assisted workflows to their skillset. The course is beginner-friendly when it comes to AI, but assumes a basic understanding of software testing concepts.

Recommended skills before attending:

  • Comfortable reading and reviewing test cases
  • Familiarity with functional or UI testing practices
  • Basic experience with common testing tools or frameworks (manual or automated)

What You Will Learn

The goal of this course is to help you build practical, hands-on skills for using AI in modern software testing. You will walk away with real experience using AI tools that can support faster, smarter, and more reliable testing in your day-to-day work.

By the end of this course, you will be able to:

  • Use AI tools to generate realistic and varied test data tailored to your testing goals
  • Select and prioritize test cases based on code changes, historical results, and risk indicators
  • Generate UI, API, and functional test cases using plain-language prompts and AI coding tools
  • Identify flaky or redundant tests and improve stability with self-healing and AI analytics
  • Use AI to summarize test failures, detect patterns, and support faster triage
  • Integrate AI-generated tests and insights into existing CI/CD workflows for real-time value

Training Outline

  • Introduction to AI in Software Testing

Get a clear understanding of how AI is changing software testing and how it complements—not replaces—your current workflow.

    • What AI means in software testing
    • Traditional vs AI-augmented workflows
    • Key benefits: speed, coverage, accuracy
    • AI in unit, integration, UI, and end-to-end testing
    • Tool types for different user levels

  • Generating Test Data with AI

Discover how AI can help you create realistic, diverse, and structured test data faster and more effectively.

    • Why high-quality test data matters
    • Structured data with Mockaroo and Faker
    • Using ChatGPT for edge-case inputs
    • Choosing the right tool for your needs
    • Keeping data anonymous yet realistic
    • Activity: Schema-Based Data Generation with Mockaroo
    • Activity: Prompting ChatGPT to Generate Test Data

  • Selecting Test Cases with AI

Learn how AI can help prioritize, streamline, and optimize your test suites based on real project data.

    • Prioritize tests based on change history
    • Remove redundant or low-value tests
    • Select minimal test sets with high impact
    • Generate tests from requirements
    • Visualize impact with dashboards
    • Activity: Test Case Prioritization
    • Activity: Redundancy Detection in Test Descriptions

  • AI-Enhanced Test Generation

See how AI tools can transform user stories and function headers into working test cases for UI, API, and more.

    • Use AI for UI, API, and functional test cases
    • Convert user stories into test scripts
    • Improve outputs with prompt tuning
    • Explore Copilot, Testim, and Codeium
    • Integrate generated tests in IDEs
    • Activity: Generate UI Tests from User Stories
    • Activity: Use Testim’s AI Recorder
    • Activity: Generate Unit/UI Tests in Codeium

  • Smart Test Execution and Maintenance

Explore how AI improves test stability and maintenance with flaky test detection, self-healing flows, and visual testing.

    • Detect and debug flaky tests
    • Find test bottlenecks with analytics
    • Use self-healing selectors
    • Perform visual regression testing
    • Track evolving test failures
    • Activity: Flaky Test Detection
    • Activity: Visual Testing Demo
    • Activity: Self-Healing Test Exploration

  • Defect Prediction using AI

Use AI to find out where bugs are most likely to appear before they do, so you can test smarter, not harder.

    • Forecast risk using test and code history
    • Correlate bugs with churn and complexity
    • Analyze commits using NLP
    • Visualize risk zones with heatmaps
    • Use insights in planning
    • Activity: Forecast Defects from Commits
    • Activity: Spot High-Risk Components

  • Integrating AI into the Testing Workflow

Learn how to plug AI into your everyday test planning, CI/CD tools, and team reporting workflows.

    • Identify AI entry points in the workflow
    • Generate summaries and insights with ChatGPT
    • Add AI to CI/CD (e.g., GitHub Actions)
    • Use LLMs to triage test failures
    • Standardize prompt best practices
    • Activity: Summarize Test Logs with AI
    • Activity: Simulate CI Integration

Why Choose Us

Experience Implementing AI in Software Testing | AI in Test Automation in Norway through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Norway and worldwide, with flexible planning options for individual and corporate training needs.

Experience Implementing AI in Software Testing | AI in Test Automation in a focused classroom environment in Norway. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Implementing AI in Software Testing | AI in Test Automation in Norway solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.
Contact us for more detail about our trainings and for all other enquiries!

Implementing AI in Software Testing | AI in Test Automation Training Course in Norway Schedule

Join our public courses in our Norway facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
05 juli 2026 (1 Day)
Oslo, Bergen, Stavanger
€1,700 +VAT
18 juli 2026 (1 Day)
Oslo, Bergen, Stavanger
€1,700 +VAT
22 juli 2026 (1 Day)
Oslo, Bergen, Stavanger
€1,700 +VAT
24 juli 2026 (1 Day)
Oslo, Bergen, Stavanger
€1,700 +VAT
02 august 2026 (1 Day)
Oslo, Bergen, Stavanger
€1,700 +VAT
04 august 2026 (1 Day)
Oslo, Bergen, Stavanger
€1,700 +VAT
10 august 2026 (1 Day)
Oslo, Bergen, Stavanger
€1,700 +VAT
11 august 2026 (1 Day)
Oslo, Bergen, Stavanger
€1,700 +VAT

Norway represents a pinnacle of digital integration, with Oslo, Bergen, and Stavanger leading the way in sustainable technology and maritime informatics. Oslo, the economic and governmental hub, is home to the University of Oslo, an institution that has been a catalyst for scientific research since 1811. The Norwegian tech sector is characterized by its early adoption of green-tech and advanced automation within the energy sector. Our training initiatives in Norway focus on delivering high-level IT skills that align with the country's high standards for digital governance and environmental sustainability. By fostering a deep understanding of software architecture and cybersecurity, we support Norway's transition into a fully digitized, carbon-neutral economy through professional excellence.

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