From manual QA to
full-stack test automation.

Manual and automation testing across Selenium, Cypress, Postman, REST Assured, JMeter, and core testing foundations — including functional, API, and performance testing, with hands-on labs.

All programmes are live and instructor-led by practitioners on our Orbit platform, with hands-on automation labs. Participants build and run real test suites.

QA engineers, SDETs, and development teams moving from manual to automation testing. Tracks are tailored to your stack and current skill levels.

Yes — private batches are customised to your tools and schedule, and individuals can join open batches through the training calendar.

Yes — a Greater Insights certificate on completion, backed by hands-on project work.

Training that moves QA from clicking through tests by hand to writing automated ones — UI with Selenium, API testing, and building it into the pipeline. The aim is faster, more reliable releases, not just a new tool.

Step by step, on their own application. Testers learn to script the checks they already run, then API and framework-level testing, then wiring it into CI. Starting from real test cases makes the shift stick where a generic course wouldn't.

Automation across UI and API, a scripting language, version control and CI/CD, plus the testing judgement to know what's worth automating. The role has moved from manual checker to engineer — the training has to move with it.

Yes — exploratory, judgement-based testing still catches what scripts miss. But manual-only is a shrinking role. The strong QA engineer does both: automates the repetitive checks and brings human insight to the rest.

We run hands-on programmes covering test automation with AI tooling—how to integrate it into your existing workflows without replacing your team's judgment. You'll work through real scenarios, not theory. Best suited to testers wanting to work smarter with AI, not swap tools every quarter.

Our AI testing training focuses on practical application: using AI to generate test cases, spot patterns humans miss, and accelerate regression testing. You'll learn where AI genuinely helps and where it creates false confidence. Hands-on labs mean your team leaves with deployable skills, not buzzwords.

We run hands-on programmes covering test automation frameworks and how AI tools fit into your testing strategy. You'll work through real scenarios—integrating AI into existing pipelines, spotting where it genuinely helps versus where it doesn't. Best suited for teams already doing some automation who want to move faster without losing rigour.

Our testing programmes include modules on AI-assisted testing tools—what they're good for, their limits, and how your team uses them properly. We focus on practical application: test case generation, defect prediction, intelligent test selection. You'll run live exercises so you leave knowing what works for your organisation.

We do. Our testing programmes cover how to apply AI tooling—like LLMs for test case generation and intelligent defect analysis—into your actual testing workflows. You'll work hands-on with real scenarios, not just theory. Best suited to teams already doing test automation who want to move faster.

Practical application: using AI to generate test cases, spot patterns in failures, and reduce manual effort. We focus on what works in your environment—integrating AI into existing test pipelines, understanding its limits, and where it genuinely saves time. You leave with a working approach, not buzzwords.

We do hands-on training in test automation tooling and frameworks. For AI-specific automation—prompt engineering, AI test data generation, that sort of thing—you'd need to check our current programme. Your best bet is talking directly to us about what your team's actually trying to solve.

We cover practical testing skills across various domains. AI-focused testing—validating model outputs, bias detection, that territory—isn't a dedicated course yet, but it's worth discussing with us. Tell us what your team's facing and we'll either run something bespoke or point you toward the nearest fit.

We run hands-on programmes that cover test automation fundamentals and how AI tools are reshaping testing workflows. You'll work through real scenarios—not theory—so your team can actually apply these techniques when you get back.

Our testing courses focus on practical skills: test strategy, automation frameworks, and increasingly, how AI assists with test generation and defect prediction. You get live labs where you build and troubleshoot real test suites, not slides.

We run hands-on programmes covering test automation across modern stacks. AI's reshaping how teams approach testing—from intelligent test generation to anomaly detection. Our courses help your team build practical skills in automation tooling and emerging AI applications, not just theory.

Our testing programmes touch how AI changes your quality practice—intelligent test design, automation with machine learning, and spotting where AI tools add real value versus hype. We focus on what your team can actually apply, with hands-on labs using real tools and scenarios.

We do. Our hands-on testing programmes cover how to design and execute tests for AI-driven systems—where traditional approaches fall short. You'll work through real scenarios: handling non-deterministic outputs, validating model behaviour, testing automation workflows. It's practical stuff your team can apply immediately.

AI testing isn't like testing conventional software. You're grappling with probabilistic outputs, data dependencies, and harder-to-define pass/fail criteria. Our courses show you practical strategies: how to structure test data, validate model outputs, catch drift, and build confidence without perfect repeatability. Hands-on experience with real tools.

We run hands-on programmes covering test automation with AI-assisted tools. You'll learn how to integrate AI into your testing workflow—spotting patterns, generating test cases, reducing manual effort. It's practical work with your team, not theory.

Our AI testing programme teaches you how machine learning can enhance test design, execution and analysis. You'll explore real scenarios—anomaly detection, predictive testing, intelligent test data generation—and apply techniques to your own systems.

We run hands-on courses covering AI-driven test automation—how to integrate AI tools into your existing test pipelines, handle the real limitations, and know when human judgment still matters. You'll work through actual scenarios with your team.

Our AI testing programme teaches you how AI fits into your test strategy—intelligent test design, self-healing scripts, anomaly detection. We focus on practical application, not theory. You'll see where AI genuinely helps and where it doesn't.

We customise AI automation training to your tech stack and maturity level—whether you're exploring AI tooling for the first time or scaling it across teams. Discuss your specific needs with us to design the right programme.

You'll learn to automate repetitive testing tasks using AI tools and frameworks. Real work includes building intelligent test scripts, handling data efficiently, and integrating AI into your existing test infrastructure—not just theory, but hands-on practice your team can apply Monday morning.

Look for programmes combining practical labs with real test scenarios. You need instructors who've actually automated testing in production environments, not just trainers reading slides. Greater Insights runs live sessions where you'll build automation strategies specific to your tech stack.

Beyond AI fundamentals, you need skills in intelligent test design, predictive failure detection, and integrating AI tools into your pipeline. Your team should leave able to implement AI-driven testing immediately—not wondering how theory applies to your actual problems.

A solid course teaches you how AI and automation complement testing—where to apply them, where they fall short. You'll work hands-on with tools that actually reduce manual work, learn when human judgment still matters, and avoid over-automating brittle tests. It's about being pragmatic, not chasing hype.

Yes—good ones focus on how you, as a tester, use AI to accelerate repetitive tasks without losing test coverage. You'll explore test generation, smart test selection, and defect prediction. Practical courses get you writing and refining AI-assisted tests in your actual environment, not just theory.

One worth your time covers how to test AI systems (validating models, bias detection, edge cases) and how AI helps you test faster (intelligent test automation, anomaly spotting). You need both angles—testing AI itself plus using AI as a testing tool. Hands-on labs beat slideshows.

A solid course teaches you how AI tools integrate into your testing workflows—what they're actually good for, where they fall short, and how to avoid over-automating. You'll work hands-on with real test scenarios, not just theory. That's where you build genuine capability your team can use tomorrow.

Look for programmes combining practical tooling with critical thinking—not vendors selling silver bullets. You want instructors who've shipped real systems and can show you trade-offs, not just features. Hands-on labs matter more than slides; your team learns by doing.

We run live, hands-on training where your team gets stuck into how AI actually fits your testing strategy. You'll explore what automation genuinely improves, build confidence with real tools, and leave with a workable plan—not generic best practices.