Manual Software Testing with Generative AI & Claude AI 2026

Explore the diverse roles in software development, from requirements engineers to front-end, back-end, UI/UX designers, mobile developers, testers, project managers, and scrum master. Learn to become a software tester.

Identify and translate customer requirements as the requirement engineer, serving as the gateway to software development by documenting and interpreting needs into technical requirements for frontend and other roles.

Explore the role of a front end developer who designs interfaces, writes HTML and CSS, fetches backend requests, and uses JavaScript, SQL, Node.js, and React to craft engaging web pages.

Explore the back end developer role, responsible for servers, databases, security, system architecture, software design and APIs, plus operating system management, business logic, data analysis, and data migrations.

Discover the distinct UI and UX designer roles, from visual design, typography, and mockups to user research, wireframes, and holistic experience improvements, essential for testers.

Explore mobile tester rules and the end-to-end workflow for building mobile apps, including Android and iOS development, requirement engineering, and wireframe-driven design.

Learn the software tester role as the backbone of the software development life cycle. Ensure high performance, bug-free applications, and a great user experience by catching issues early.

Explore the project manager and scrum master roles, responsible for quality, on-time delivery, and scope, coordinating schedules, stakeholders, and team performance and KPIs in software projects.

Explore the software development lifecycle (SDLC), its phases from requirements and analysis to design, coding, testing, delivery, and maintenance, and compare waterfall and Agile models.

Explore the waterfall model from requirements gathering and the functional specification to planning, design, testing, and deployment, noting its limited customer involvement and risks versus Agile.

Adopt agile to replace waterfall by delivering software in two to four week iterations, using Extreme Programming, Scrum, and rapid application development, with customer feedback and working software as progress.

Explore scrum as a communication model and management framework for incremental software development, using cross-functional teams, sprints, backlogs, daily meetings, and retrospectives to deliver a shippable product and customer feedback.

Explore core software testing terminologies, including static testing that validates requirements without code. Identify how dynamic testing validates code through unit, integration, and system tests.

Differentiate testing and debugging, define defects, and outline manual and automated testing types such as unit, integration, system acceptance, and stress tests, plus functional, content, navigation defects, and broken links.

Distinguish errors, faults, and failures in software testing. Errors are human actions, faults are wrong steps or data definitions, and failures occur when the system does not meet expected behavior.

Master smoke testing to quickly verify critical functionality of a software build, distinguish it from sanity testing, and guide progression to integration and system testing.

Learn how the Scrum framework powers software projects, from product owner and backlogs to sprint planning, daily scrums, sprint reviews, and retrospectives, with core principles of transparency, inspection, and adoption.

Explore non-functional testing types including performance, load, stress, usability, security, and portability testing, and learn how to verify performance, usability, and robustness in software systems.

Learn manual website testing methods across browsers and platforms, covering content, usability, navigation, performance, security, and compatibility, plus database and interface testing insights.

Master cross browser and platform testing for web and mobile apps across Chrome, Firefox, Safari, and Opera. Use manual or tool-based methods to ensure consistent layout, usability, and mobile responsiveness.

Learn to perform manual responsive testing for websites by validating layout across desktop, tablet, and mobile, focusing on padding, edge alignment, and readable content at breakpoints.

Explore defect classification and severity levels from blockers and showstoppers to critical, major, and minor defects, with practical examples such as login failures, invalid inputs, and cosmetic issues.

Explore a graphical user interface testing checklist aligned with Windows user interface standards, detailing field validations and testing of text boxes, radios, checkboxes, and dropdowns.

Learn mobile app testing best practices from a to z, including functional, UI, usability, accessibility, compatibility, localization, internationalization, security, API, and end-to-end testing, plus proactive approaches and real-device testing.

Master mobile app usability testing with a comprehensive checklist covering navigation, clear labels, visual feedback, compatibility across operating system versions and screen resolutions, offline and online behavior, and performance benchmarks.

Learn how Jira, the cloud version of the project management and issue tracking tool, supports agile teams by tracking issues, requirements, user stories, backlogs, and daily tasks.

Master agile basics and Jira workflows, covering Scrum and Kanban, daily tasks from to do to done, sprint planning, retrospective meetings, and daily stand-ups.

Explore the different Jira versions, with emphasis on Jira software cloud, and learn how to track issues, manage tasks, and support agile project management using Atlassian saas solutions.

Explore Jira issue types in Atlassian SaaS, focusing on stories and epics, and learn to map requirements to user stories, manage sprints, and organize epics for projects.

Navigate Jira's Atlassian setup, select a software development template, and choose Kanban, Scrum, or project management to build boards and timelines, then create your project, invite teammates, and integrate apps.

Discover how to create tasks in JIRA, organize backlogs and sprints, and structure epics and user stories to manage software testing projects efficiently.

Learn to create and link user stories under a mobile app mvp epic in Jira, manage sprints, backlogs, and Scrum boards for end-to-end product delivery.

Learn to create multiple epics and user stories in Jira, link stories to epics in backlog and timeline, and log time across sprints.

Start a two-week sprint in Jira by defining tasks, user stories, and epics, set a sprint goal, and track work across to-do, in progress, and done with Kanban.

Learn to plan, start, and complete scrum sprints in Jira by selecting backlog items, dragging them into sprint boards, and tracking epics, user stories, and subtasks through to done.

Develop manual testing mastery by building essential skills—communication, analytical thinking, and presenting to developers—while mastering test strategy, acceptance criteria, and test case creation across functional and nonfunctional testing.

Compare Selenium, Cypress, and Playwright by setup ease, speed, cross-browser testing, real-time interaction, API testing, and parallel execution to choose the best automation tool.

Explore Playwright, an open source end-to-end testing tool that supports cross-browser testing across Chrome, Edge, Chromium, Firefox, and WebKit, with auto wait, tracing, debugging, and flaky-test avoidance.

Identify the drawbacks of Playwright automation testing, including a smaller community than Selenium, no legacy browser support such as IE 11, and no mobile native testing for web end-to-end automation.

Install Playwright and meet prerequisites, then explore the basic script structure and configuration. Run your first test easily, understanding the code layout and how to execute test cases.

Install playwright automation tool by setting up Node.js and Visual Studio Code on Windows or Mac, then initialize npm, install playwright test, and configure browsers for end-to-end testing.

Navigate the Playwright folder structure, from installation and GitHub configurations to the tests directory, package.json, and playwright.config.js, and configure browsers for testing (chromium, firefox, webkit) with future CI/CD steps.

Create your first test in the test folder with first.spec.js, write a navigation and title assertion using Playwright, and run npx playwright test across Chromium, Firefox, and WebKit.

Master locating elements with css and xpath locators, perform actions like click and type, use page objects, navigate and wait for conditions, and validate outcomes with assertions in login workflows.

Explore Playwright actions and navigations, including go to url, click, fill inputs, and hover. Validate outcomes with assertions such as visibility and contain text in a locator.

Discover how to locate elements using XPath and CSS selectors, install the CSS selector hub Chrome extension, and implement locator strategies in Playwright tests across browsers.

Execute playwright tests in real time across all configured browsers by using headed mode, with single-browser options and explicit waits to prevent failures.

Complete your automation assignment by logging into the website we normally use with admin credentials. Navigate to the login page, submit the login form, and verify the logout button appears.

Learn to locate elements with css and xpath locators and perform actions like click and type. Build reliable tests with navigation, waits, and assertions.

Run playwright tests in real time across Firefox, Chrome, and WebKit in headed mode, using specific browser targets via config.js and single-browser or multi-browser execution with waits.

Learn to generate automated Playwright tests with codegen in VS Code, recording actions, capturing XPath and CSS locators, and adding assertions without programming skills.

Discover how generative ai creates new content—from texts to music—via prompts, and how data quality, prompts, and potential misuses shape reliable results.

Explore artificial intelligence in software testing through machine learning and deep learning, enabling data-driven improvements. See supervised learning, neural networks, and real-world examples like Netflix and Amazon recommendations.

Leverage generative AI to improve accuracy and predictive bug detection, using data patterns to identify issues before production; enable CI/CD enhancements and guide automation scripts and framework design.

Explains natural language programming (NLP) as a core AI component for chatbots, language translation, and voice assistants, and introduces computer vision for medical image analysis and healthcare applications.

Explore how to extract RTM store requirements and generate test plans, test cases, happy and negative workflows, test data, and automation scripts with ChatGPT.

Explore generative AI, a transformative subset of AI that creates content and outputs, and see how it enhances manual software testing through edge cases and automated test-case creation with ChatGPT.

Learn how ChatGPT acts as a software quality consultant to create a comprehensive test plan for a fashion e-commerce platform, covering functional and non-functional testing, requirements, schedule, and roles.

Generative AI creates new content, not just classifies or predicts, with examples like chatgpt text, mid-journey images, and sora videos, trained on large data to generate outputs.

Explore foundation models trained on broad diverse datasets that adapt to many tasks, with large language models like GPT-4 and GPT-5 that understand, generate, translate, and power conversational AI.

Explore large vision models and multimodal AI that process text, images, audio, and video to enable vision analysis, deep research, and multimodal generation in real applications.

Explore transformer models, neural architectures with attention mechanisms that sustain context for image generation, long-form writing, and coherent content across prompts.

Discover diffusion models and generative AI to turn rough sketches into highly detailed, realistic images or videos, and see how foundation and multi-model AI enable versatile content creation.