Learn
Understand testing knowledge, methods, risks, and decision-making.
Develop strong testing foundations, expand into APIs and automation, and build the AI fluency required to apply AI to testing and test AI-enabled systems.
Structured, self-paced learning for people entering testing, advancing their practice, or adapting to the AI era.
Built with a testing brain — judgment, practice, and communication — not another AI course catalog.
Understand testing knowledge, methods, risks, and decision-making.
Practice through guided activities, study aids, sample applications, and low-risk environments.
Bring selected methods and reviewed resources into real testing work.
Learn Lab provides the structured knowledge behind the activities in Play Lab and the workflows introduced through Apply Lab.
Start where your experience and goals make sense. The roadmap is guidance. You do not have to complete every course in a fixed order.
Build testing foundations, understand how software teams work, and develop a structured starting point for practical testing.Suggested starting course: Pragmatic Software Test Engineer
Extend your existing experience through APIs, automation, AI-assisted testing, testing AI systems, and modern human-agent workflows.Suggested areas: Testing with AI and Testing AI Systems · API Testing · Test Automation Engineering · Focused and advanced courses
Start with the area that matches your current needs. Labs Annual provides access to included learning across Learn Lab, with new and updated content added as testing practice changes.
Build durable testing foundations through practical analysis, test design, investigation, evidence, and communication.
Who it is for: People entering testing or building a structured foundation.
Main focus: Analysis, risk, test design, investigation, evidence, and communication.
Learn both sides of AI-native testing: using AI to support testing work and evaluating software whose behavior includes AI.
Part 1: Testing with AI · Part 2: Testing AI Systems
Who it is for: Practitioners working with or on AI-enabled products.
Learn how to investigate requests, responses, behavior, risk, and evidence across practical API-testing workflows.
Who it is for: Testers who need to investigate and test APIs.
Main focus: API investigation, test design, and tool-based workflows.
Develop automation capability through programming foundations, Selenium, Playwright, and responsible AI-assisted automation.
Who it is for: Testers building or extending automation skills.
Main focus: Java, Selenium, TypeScript, Playwright, and reviewed AI assistance.
Real feedback from learners who completed Shade of Hue courses — from structured foundations to applying AI in testing work.
These focused courses are in development. Descriptions, outlines, availability, and access will be updated as each course is confirmed.
Develop a practical foundation for investigating mobile applications across devices, user contexts, platform behavior, risk, and evidence.
Learn how to communicate testing progress, evidence, risks, blockers, impact, and next actions with clarity.
Build a practical mental model of how language models process inputs and generate responses so that you can test and use them more critically.
Three connected courses exploring how testing knowledge, agent workflows, and human leadership combine in modern AI-assisted testing environments.
Explore how testing knowledge, instructions, tools, and repeatable procedures can be structured into reusable skills for human-agent work.
Examine how testing agents, tools, responsibilities, controls, and human review can be organized into an effective testing workflow.
Develop the judgment and leadership practices needed to coordinate people and agents while retaining responsibility for evidence and decisions.
Continue in Play Lab with learning companions, guided demos, notebooks, and testing tools designed to help you explore and practise safely.
Learn Lab is designed around structured, self-paced learning. Course-linked aids and practice activities help you review, explore, and apply what you learn.
Cohort learning and instructor-led support may be introduced for selected programs later.
Shade of Hue Labs Annual connects structured learning, deliberate practice, and selected application resources in one platform. Courses and supporting resources continue to evolve as AI and testing practice change.
Subscribe once instead of purchasing courses or SOH apps one by one.
Three Connected Labs
One subscription covers all three.
Learn at Your Own Pace
Structured courses with no fixed schedule.
Continuously Updated
Content grows as testing practice and AI change.