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Bionic Software Testing Certification Training

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Course Description

Agile teams need to test fast and frequently, but traditional testing struggles with high test maintenance costs, slow test execution, limited defect prediction, and Inefficient test coverage. The AI-powered Agile Testing & CI/CD Workshop is a 3-day training program to equip participants with the skills, tools, and best practices necessary for continuous integration (CI), continuous delivery (CD), test automation, and defect management in an agile environment. This AI-powered Agile Testing approach can reduce testing efforts, increase test coverage, and improve defect detection without slowing down Agile teams. AI tools can enhance TDD, BDD, automation, and defect prevention while enabling faster and more reliable releases.

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Faster Test Execution
Optimized Performance & Security Testing
Seamless CI/CD Integration
Predictive Analytics

Course Objectives

  • Understand Agile Testing principles and how they integrate with CI/CD.

  • Implement Test-Driven Development (TDD) and Behavior-Driven Development (BDD).

  • Set up and manage CI/CD pipelines with automated testing.

  • Utilize AI tools to optimize test automation and defect tracking.

  • Apply Continuous Testing and Inspection for improved software quality.

  • Define the roles of Test Engineers and Test Managers in an Agile environment.

  • Implement successful delivery practices in Agile software development.

 

Who Should Attend?

  • Software Testers

  • Developers

  • DevOps Engineers 

  • Agile Teams

 

Course Topics

This module covers the basics of Agile Testing and how AI enhances speed, accuracy, and defect prediction. Learn why AI is essential in Agile Testing, its key benefits like self-healing tests and predictive defect analysis, and the challenges of traditional testing that AI helps overcome.

This module explores Agile Testing principles, the Agile Testing Quadrants, and effective testing strategies in Scrum and Kanban. It also highlights the role of testers in Agile teams, ensuring seamless collaboration and quality-driven development.

This module explores how AI transforms software testing by improving speed, accuracy, and automation. Learn about different AI-driven testing types like ML-based, NLP-powered, and predictive analytics. Understand the differences between AI-based and traditional test automation and explore powerful AI tools like Testim, Functionize, and Mabl for automated and efficient testing.

This module explores TDD in Agile development, its role in improving code quality, and how AI enhances test case generation. Learn how AI-driven tools assist in code analysis, automated test creation, and feedback loops, making TDD faster and more efficient. Hands-on experience with Diffblue Cover and CodiumAI will demonstrate AI-powered unit testing and smart code suggestions.

 

This module explains BDD and its differences from TDD, focusing on how AI enhances BDD workflows. Learn how AI assists in Gherkin syntax generation, automates feature file execution, and uses NLP to convert requirements into automated tests. Explore AI tools like Cucumber with AI plugins for NLP-based test generation and TestCraft for AI-powered BDD testing.

This module explores how AI enhances test automation with self-healing capabilities, reducing maintenance efforts. Learn how AI generates and maintains test scripts, automates test execution and reporting, and enables continuous testing in CI/CD pipelines. Get hands-on experience with tools like Applitools, Katalon Studio, and Selenium with AI plugins to streamline testing workflows.

 

This module explores how AI enhances test data management by generating synthetic test data, improving test coverage, and ensuring data privacy. Learn how AI automates smart test data selection, reduces redundancy, and strengthens security. Hands-on experience with Tonic.ai and Datomize will help in optimizing test data for Agile environments.

 

This module explores how machine learning models predict defects, helping teams identify issues before they occur. Learn how AI-driven root cause analysis speeds up debugging and how intelligent test prioritization ensures high-risk areas get tested first. Get hands-on with tools like Launchable for risk-based test selection and SonarQube with AI for code quality checks

 

This module explores how AI improves performance and security testing by enabling automated load testing, vulnerability detection, and real-time monitoring. Learn how AI-driven tools like Neotys Neoload optimize performance testing, and Darktrace enhances security with AI-powered anomaly detection.

 

This module explores how AI enhances exploratory testing by identifying defects faster and improving test coverage. Learn about image recognition-based UI testing for visual validation and AI-driven accessibility testing to ensure inclusive design. Hands-on experience with tools like Testim for AI-powered exploratory testing and Applitools for visual testing will be included.

 

This module explores how AI optimizes test management by automating test planning, case selection, and strategy execution. Learn how predictive analytics improve test coverage and efficiency, reducing manual effort. Discover AI-powered tools like Xray and PractiTest that enhance decision-making and analytics for smarter testing.

 

This module explores key challenges in AI-driven testing, including AI model accuracy, reliability, and potential biases that can impact test outcomes. It also covers ethical concerns, ensuring fair and unbiased testing. Additionally, participants will learn about selecting the right AI tools and effectively integrating them into Agile workflows for seamless automation.

 

This module explores real-world applications of AI-powered Agile Testing in industries like banking and fintech. It includes case studies on AI-driven test automation, showcasing its impact on speed, accuracy, and defect detection. Participants will learn from practical examples, key challenges, and best practices for successful AI adoption in Agile Testing.

 

This module explores the latest trends in AI-powered testing, including self-healing automation, predictive analytics, and AI-driven test management. Understand how generative AI is transforming software testing by automating test creation, improving defect detection, and enhancing test coverage. Learn how AI will reshape Agile Testing methodologies for faster, smarter, and more efficient testing processes.

 

Upcoming Schedules

We are running auxiliary batches for this course!

For group inquiries, please contact us at connect@agilemania.com


Why Choose Us?

High Success Rate
Access to Competitive Assessments to Evaluate Your Preparations
Expert’s Post-workshop Support
Learn from the Professional Trainers With over 2 Decades of Experience
Join a Community of 35,000+ Practitioner

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Get the full details of the Agile Bionic Software Testing Training— course structure, key takeaways, and more. Download now and take your testing expertise to new heights.

Certification Assessments

Join our Agile Bionic Software Testing Training and earn two certifications! By attending and actively participating in this interactive 2-day course, you'll receive a Participation Certificate from Agilemania. Plus, you'll be automatically enrolled in the ICP-FAI course, giving you the opportunity to earn a globally recognized ICAgile certification—no extra registration needed!

 

FAQs

This training helps testers, developers, and Agile teams leverage AI-powered tools to improve testing efficiency, automation, defect prediction, and CI/CD practices in Agile environments.

No! This course is designed for all skill levels. You’ll learn AI-driven testing concepts and tools step by step, even if you’re new to AI.

You’ll explore AI-powered testing tools like Testim, Functionize, Mabl, Applitools, Katalon Studio, and more to enhance test automation, defect tracking, and quality assurance.

You’ll work on real-world test automation scenarios, set up AI-enhanced CI/CD pipelines, optimize defect management, and apply AI in Agile testing workflows.

 

Software Testers, Developers, DevOps Engineers, Agile Practitioners, and anyone interested in AI-powered Agile testing techniques.

It’s a 2-day interactive workshop featuring live sessions, case studies, hands-on exercises, and expert guidance on AI-driven software testing.

 

No! AI enhances testing efficiency but still requires human expertise for strategy, analysis, and decision-making. This training helps testers work smarter with AI.

 

You’ll gain AI-powered testing skills, improve your efficiency in Agile environments, and enhance your job prospects in software testing and quality assurance.

 

Yes, this is a live virtual training with expert-led sessions, hands-on exercises, and interactive discussions, offering the same benefits as in-person training.

 

No exam is required! To earn the Participation Certificate from Agilemania and ICP-FAI certification from ICAgile, just attend and actively participate in both sessions.

You can pay using debit/credit cards (MasterCard, Visa, American Express) or PayPal. Once payment is completed, you’ll receive an email confirmation.

 

Yes! Cancellations made within 24 hours of registration qualify for a full refund (minus payment gateway charges). Contact connect@agilemania.com for refund requests.

Reach out to us at connect@agilemania.com, and we’ll be happy to assist you!

 

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Join the Agile Bionic Software Testing Workshop Today!

Get ready to transform your software testing approach with our Agile Bionic Software Testing Workshop! This training equips you with AI-powered testing techniques, CI/CD integration, and automation strategies to enhance speed, accuracy, and efficiency in Agile environments.  

 

Gain hands-on experience with cutting-edge AI tools for test automation, defect prediction, and performance testing. Stay ahead in the evolving world of Agile testing and accelerate your career with future-ready skills!