Learn
Understand testing knowledge, methods, risks, and decision-making.
Build modern testing knowledge and skills.
Learn LabDevelop 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.
Learn the method. Practice the skill. Apply it to the work.
Play
Practice through guided activities, study aids, sample applications, and low-risk environments.
Apply
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.
Choose your starting point.
Start where your experience and goals make sense. The roadmap is guidance. You do not have to complete every course in a fixed order.
New entrants and career switchers
Build testing foundations, understand how software teams work, and develop a structured starting point for practical testing.Suggested starting course: Pragmatic Software Test Engineer
Testing practitioners
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
Courses in Learn Lab
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.
Established courses
Pragmatic Software Test Engineer
Included in Labs AnnualBuild 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.
Testing AI Systems and Testing with AI
Included in Labs AnnualLearn 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.
API Testing with Postman, Hoppscotch, and Insomnia
Included in Labs AnnualLearn 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.
Test Automation Engineering Series
Included in Labs AnnualDevelop 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.
Focused courses
These focused courses are in development. Descriptions, outlines, availability, and access will be updated as each course is confirmed.
Mobile App Testing Basics
In developmentDevelop a practical foundation for investigating mobile applications across devices, user contexts, platform behavior, risk, and evidence.
Technical Communication: Communication and Progress Reporting
In developmentLearn how to communicate testing progress, evidence, risks, blockers, impact, and next actions with clarity.
LLM for Testers: How LLMs Actually Read and Respond Under the Hood
In developmentBuild a practical mental model of how language models process inputs and generate responses so that you can test and use them more critically.
Human-Agent Testing Mini-Series
Three connected courses exploring how testing knowledge, agent workflows, and human leadership combine in modern AI-assisted testing environments.
1. Skills Engineering
In developmentExplore how testing knowledge, instructions, tools, and repeatable procedures can be structured into reusable skills for human-agent work.
2. Architecting Agentic Testing
In developmentExamine how testing agents, tools, responsibilities, controls, and human review can be organized into an effective testing workflow.
3. Leading a Human-Agent Testing Team
In developmentDevelop the judgment and leadership practices needed to coordinate people and agents while retaining responsibility for evidence and decisions.
Support for learning beyond the lesson.
Selected courses include supporting NotebookLM resources, Custom GPTs, demonstrations, lab work, and guided exercises that help learners review concepts and practice their application.
Course-linked resources
Course-linked NotebookLMs
Course-linked NotebookLM resources will be added as their learning purpose, access, and course relationship are confirmed.
Course-linked Custom GPTs
Course-specific Custom GPTs will be added after their learning purpose, access, and data guidance have been reviewed.
Testing AI Systems Lab Works
Lab Works will be added as their learning outcomes, course connections, and access are confirmed.
Demonstrations and guided exercises
Demonstrations and guided exercises will be added as the related course activities are finalized.
Google Colab exercises
Google Colab exercises will be added after their content, setup requirements, and access have been confirmed.
These resources support courses inside Learn Lab. Practice activities may open through Play Lab, but they are not separate courses or standalone subscription products.
Built for continuous development in modern testing.
Strong testing foundations
Build durable knowledge before relying on tools or generated output.
Practical AI fluency
Learn how AI can support testing work and how AI-enabled products must be evaluated.
Practitioner-informed learning
Study methods grounded in real testing roles, risks, evidence, decisions, and communication.
Continuously evolving
Keep learning as testing methods, AI capabilities, and software-development practices change.
Learn at your own pace.
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.
One subscription for Learn, Play, and Apply.
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.
Learn · Play · Apply
Three Connected Labs
One subscription covers all three.
Self-paced
Learn at Your Own Pace
Structured courses with no fixed schedule.
Evolving
Continuously Updated
Content grows as testing practice and AI change.