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Performance Testing & Distributed Load Testing CourseBy: Japneet Sachdeva Course description:This hands-on course gives you a complete, practical introduction to performance testing; from software installation and basic test design to advanced, production-grade distributed load testing using Docker.You’ll learn how to create realistic user scenarios, test APIs end to end, validate responses, work with data-driven inputs, and run tests efficiently from the command line with detailed HTML reports.By the end, you’ll know how to design, execute, and analyze large-scale load tests and have the skills to apply JMeter confidently in real QA, DevOps, and engineering environments.📁Structure of the course:  Download and Installation Understanding Performance vs Load vs Stress Testing JMeter GUI Overview Thread-Groups Overview in JMeter Samplers Overview in JMeter First Load Test Execution JMeter Timers JMeter Assertions HTTP Managers Overview in JMeter CLI Execution using

 Amit YahavTell us how AI powers your testing. Share your story in the comments for a chance to win a prize!🏆About Amit:Working on AI-powered testing infrastructure and workflows. Outside of work, I'm staying active at the gym and unwinds by building LEGO sets.

🎓 Course Overview: Generative AI for TestersGenerative AI is revolutionizing software testing, transforming it from a futuristic concept into a present-day necessity. To equip testers with the skills needed to navigate this evolving landscape, Tricentis presents the Generative AI for Testers course. This interactive mini-course is designed to help testers understand, apply, and benefit from Generative AI in their testing processes.📁Structure of the course: Introduction to Generative AI for Testers Deep Dive Leveraging LLMs and Mastering Prompt Engineering Implementation Strategies and What Comes Next🧠 What You'll LearnBy the end of this course, you will be able to: Explain the fundamentals of Generative AI, how it differs from traditional AI, and its role in software testing. Identify and apply AI-powered testing techniques, including prompt engineering, in-context learning, and model selection. Evaluate the advantages, limitations, and biases of Generative AI models to make inf

Udi Weinberg Tell us how AI powers your testing. Share your story in the comments for a chance to win a prize!🏆About Udi:I’m focused on driving digital transformation and building meaningful, high‑impact solutions in the B2B and enterprise space. I love working at the intersection of cloud, AI, and product strategy - partnering with teams, customers, and the community to turn real needs into innovative products. I’m passionate about connecting people, ideas, and technology in a way that creates value and helps others grow.

TLDRRelease windows are short. Regression suites are long. You will never test everything, so the real skill is knowing what to test first.Experienced testers have always made that call through memory and pattern recognition. That works until people leave and systems outgrow institutional knowledge.AI doesn't change the problem — it just processes the data you already have, defect history, commit logs, past failures, and surfaces where risk is actually concentrating. It's not a replacement for judgment, but it's a faster, more reliable starting point than gut feeling alone.If you have worked in testing long enough, you already know what happens in the hours before a release.The build finally lands. The regression suite is sitting there, large and unforgiving. The clock is moving. And somewhere nearby, a product manager or a dev lead is hovering, asking the same question they always ask: how confident are we?In theory, teams run the full regression suite before every release. In practic

MCP Certification course by Karthik K.K. COURSE INTROCourse description:This video series introduces QA professionals to the Model Context Protocol (MCP) — a powerful way to connect testing tools, data sources, and automation workflows with AI-driven efficiency. Across ten practical sessions, you’ll learn how MCP simplifies integration challenges, streamlines test execution, enhances reporting, and makes QA assets — from databases to UI tests — more accessible and maintainable. Whether you’re looking to modernize your existing frameworks or prepare for the future of AI-assisted testing, this course gives you the knowledge and hands-on skills to bring MCP into your QA practice.📁Structure of the course: Introduction Installing MCP Server UI Testing With Playwright MCP Server UI Testing VS Code CodeGen API Testing With MCP Server DB Testing With MCP Server File System MCP Server BDD Test Case Agent Test Management MCP Server Future State of MCP Server​​​​​✅CertificationComplete all chapt

Gideon Martin  Tell us how AI powers your testing. Share your story in the comments for a chance to win a prize!🏆About Gideon: I work in IT in end-user support, where I enjoy helping people solve problems and making technology easier to use. What I enjoy most is understanding how systems work and finding ways to make them simpler and more reliable. I’m always learning about new technologies, especially AI. Outside of work, I love spending time with my wife and kids, and I’m very passionate about health and fitness.

Certification course by Karthik K.K.  Course description:AI is no longer a future skill for QA engineers — it's the present one.In this course you'll learn what AI actually is, how large language models think, and why context and prompt engineering are the difference between mediocre and outstanding results.You will explore real AI models like Claude, ChatGPT, and Grok, build custom AI agents, and create reusable agent skills that automate entire testing workflows. You'll see live demos of AI generating complete test suites, writing production-ready code, navigating real browsers, and producing documentation — all without you writing a single line manually.By the end, you won't just understand AI — you'll know how to put it to work. Whether you're a manual tester looking to move faster, an automation engineer wanting smarter workflows, or a QA lead preparing your team for what's next, this course will transform the way you work and position you as an AI-powered QA engineer ready for th

Adnan Ćosić Tell us how AI powers your testing. Share your story in the comments for a chance to win a prize!🏆About Adnan:Leading go-to-market activities for Tosca and Data Integrity and Agentic AI. I am passionate about the intersection of technology, innovation and people, I thrive in collaborative environments where complex challenges are tackled together.Outside of work, I enjoy gaming, art, heavy metal music, outdoor adventures, and I am an avid enthusiast of sci-fi, especially cyberpunk and dark fantasy. You’ll often find me hiking in the Austrian Alps, exploring new trails, or diving into the worlds of William Gibson, Frank Herbert and H.R. Giger. I also enjoy public speaking and am an active member of a Toastmasters Club.When not immersed in QA, software testing or technology, I’m likely planning my next music festival visit, mountaineering trip or revisiting memories from my camper van journey through the Scottish Highlands.

Are you using AI in testing?Great, this article is for you.If you’ve just spent three months learning AI testing, this article is for you. If your company just spent the budget on AI tools and you’re still seeing production bugs, this is for you.Here is why:The industry wants  speed. Faster test generation. Faster automation. Faster execution. Faster Go-To-Market (GTM).But here is what twenty years in testing has taught me: speed was never the problem.Strategy was.AI is making us test faster. But faster bad testing is still bad testing.We are optimizing the wrong thingMost testers I mentor do not have a testing speed problem. They have a "we don't know what to test" problem.They have a "We use AI agents to test. Still have production bugs" problem. They optimize for coverage metrics instead of business risk.AI does not fix this (at least as of now).Without proper human oversight, it may amplify the problem.I recently spoke with a company leader who mentioned they automated hundreds of

We’re excited to share a major milestone with the ShiftSync community:Forrester® Consulting has just released its Total Economic Impact™ (TEI) study on SAP Application Testing Solutions by Tricentis—and the results are a powerful validation of the value we’re delivering to enterprises worldwide. Why This Matters This independent study, commissioned by SAP and Tricentis, quantifies the real-world business impact of adopting Tricentis’ SAP application testing solutions. The findings are clear: organizations using Tricentis achieved a remarkable 403% return on investment (ROI) and a net present value (NPV) of $9 million over three years—with payback in less than six months. These results reinforce Tricentis’ leadership in both innovation and tangible business outcomes. Forrester interviewed decision-makers from global enterprises across industries who have implemented SAP application testing solutions by Tricentis.  The study also highlights several benefits that, while not directly quant

 Simona Domazetoska SchusterTell us how AI powers your testing. Share your story in the comments for a chance to win a prize!🏆About Simona:As a Lead Product Marketing Manager at Tricentis, I drive the messaging and go‑to‑market strategy for our AI, mobile, and test automation solutions, helping bring innovative technology to life for customers around the world. My background spans education, diplomacy, venture capital, and global development, giving me a deep appreciation for people, culture, and the power of collaboration. Today, I channeled that experience into building community, sharing knowledge, and empowering others through public speaking, mentorship, and lifelong learning.

Tricentis AI Workspace acts as the control plane for agentic quality engineering; coordinating AI agents across test creation, automation, performance, and quality intelligence with built‑in governance (approvals, auditability) so teams can release at “AI speed” without increasing risk.Why AI changes the QE equationAs AI accelerates code creation and broadens the blast radius of change, traditional “test after the fact” approaches struggle to keep pace. Tricentis positions AI Workspace as a centralized command center (a “control tower”) to orchestrate multiple AI agents with shared context, so testing scales with development while maintaining governance, approvals, and auditability.From day one, the platform was designed for human‑in‑the‑loop operations: autonomous where safe, escalated to people when judgment is required.What AI Workspace is (and how it fits)Templates to jumpstart common QE automations (e.g., validating requirement clarity, enriching test data). A Workflow Assistant t

By Aurélien Lair, Co-organiser at CTMI remember the first time I tried to navigate one of my own applications using just a screen reader. It was a humbling and frankly, frustrating experience.As testers, we spend our days obsessing over performance, security and UI consistency. Yet, far too often, we treat accessibility (a11y) as a mysterious, specialised discipline that requires "expert" status to even begin.I remember this coming up at our meetup. This topic sparked a deep discussion (resources, time, costs, you name it) as it is an industry-wide challenge. But the consensus was clear: accessibility shouldn't be treated as a separate job for a specialized team. It’s a core piece of quality engineering. If we are serious about building software that serves everyone, we can’t ignore the barriers that many users face simply because they don't fit our "standard" testing scenarios (1.3 billion people or 16% of the global population experience significant disability according to the World

Michal KravetskyTell us how AI powers your testing. Share your story in the comments for a chance to win a prize!🏆About Michal:As a Sr. Service Coordinator, I focus on supporting our people and shaping the kind of culture no tool can automate. Outside of work, I’m a passionate foodie who loves taking care of others, because great teams, like great meals, are built on connection!