ContextQA Essentials: Building and Running AI-Powered Tests

Name: ContextQA Essentials: Building and Running AI-Powered Tests
Rating: 4.5 (56 reviews)

Master AI-Powered Automation for Modern Testing Challenges

Created byContextQA Academy

Last updated 1/2026

English

What you'll learn

Your Journey from Tester to AI-Enabled Test Automation Engineer
Adopt AI-First Testing Mindset. Move beyond manual validation by learning how ContextQA automates test design, execution, and optimization.
Leverage AI for SmartBuild End-to-End Automation Skills. Gain expertise in UI, API, Mobile, ERP, and non-functional testing without writing complex scripts.
Engineer Intelligent Test Data & Execution. Master data-driven testing, runtime data generation, cross-browser/device coverage, and multi-environment manage
Strengthen Debugging & Quality Insights. Harness AI-powered assertions, root cause analysis, auto-healing, and real-time reporting to resolve issues faster.
Evolve into an AI-Enabled QA Leader – Integrate with CI/CD pipelines, apply continuous QA governance, and utilize AI agents for regression, impact analysis,

Course content

12 sections • 61 lectures • 3h 2m total length

Introduction to ContextQA11:16
To provide learners with a foundational understanding of ContextQA, its core capabilities, and how it transforms modern software testing through AI-driven automation. By the end of the course, participants will gain clarity on the platform’s features, use cases, and benefits to accelerate their QA processes
Getting Started with ContextQA Dashboard1:33
This lesson will give you a quick tour of the Context QA dashboard. This is the central hub where you’ll monitor all your test automation activities and insights.
Getting Started with ContextQA Dashboard Excution1:30
Getting Started with ContextQA Workspace1:41
Explore Workspaces in Context QA, how to create them, and how to manage user roles and permissions effectively
Getting Started with ContextQA Plugins0:56
How ContextQA integrates seamlessly with your existing workflows. Specifically, I’ll walk you through the CI/CD integration, Jira plugin, and other available plugins like Slack, ClickUp, Jenkins, and more
Getting Started with ContextQA System Audit0:30
ContextQA Introduction

High-level overview of the Test Design & Development module in ContextQA17:07
Recording & Automating Flows1:14
Learn setting up Pre-Requiest for AI Test Assitance1:47
Test Case Generation2:05
Generate tests using an AI prompt on the Context QA dashboard, selecting a scenario and running a live test that logs in, adds a new address, and saves it.
Test Cases Generation using Requirements1:17
Test Cases Generation using bulk test cases import1:22
Learn to generate test cases by bulk import on the Context QA dashboard using the upload document method; import an .xlx file, drag and drop, and create test cases.
Reusability & Optimization2:17
Test Design (Core Foundation)

Understanding Sample Formats16:26
Local Variables & Global Variables2:16
Test Data Profiles (Creating & Managing)2:37
Parameterize test cases with a data profile to replace fixed values with dynamic usernames and passwords. Use a for loop to run tests across multiple profile rows and reduce duplication.
Test Data Profiles by Import File1:47
Learn to create a test data profile by importing files in Context QA, using the import button to upload Excel or JSON templates and review successful results.
Execution Parameters14:03
Configure execution parameters to tailor AI-powered tests across environments and user roles, using environment, user, data, and execution control settings for flexible, scalable, and efficient test automation.
Parameterization using Profiles2:44
Understanding Sample Formats

Conditional Flows (IF/Else)4:38
Learn to implement if-else conditional flows inside a step group in Context QA, using a runtime variable to select dropdown options like skills or education across test cases.
Looping (For, While)2:21
File Handling (Upload/Download in Tests)2:32
Upload and download files in Context QA using AI-assisted prompts and NLP templates, then validate file content with document tasks and assertions via generated test cases.
PDF Data Validation1:30
Logs & Failure Analysis (Screenshots, Console, Network, Root Cause)1:43
Creating Test Suites, Creating & Managing Test Plans, Executing Suites2:15
Create a test suite and test plan, assign test cases, select mobile or web, configure machines, set parallel execution, and run the plan to view live execution reports.
Environment & Release Management1:09
Learn to set up a QA environment, create multiple environments (QA, SIT, UAT), and integrate the chosen environment into a test plan via settings and updates.
Cross-Browser & Cross-Device Testing1:42
Logic Handling

Getting Started with API Testing1:56
Variables in API Testing1:49
Payload Validations1:48
Learn to validate API payloads with Context QA by selecting the JSON path, setting an equals string comparison for the email, and interpreting success and failure test runs.
Structure Validation1:01
API Chaining2:29
Chain multiple APIs to reuse access tokens for context QA and pass data between responses. Validate results across test steps and demonstrate how data and tokens drive subsequent requests.
Advanced API Testing1:18
Import a Swagger or OpenAPI test guide into Context QA to create API test cases, then view 12 tests with statuses 200, 204, 400, 401, and 500.
API Testing with ContextAI

Getting Started with Mobile Testing0:56
Explore mobile testing with Context QA, building, managing, and executing automated mobile test cases for IPA and APK apps, and filtering test types in the mobile test suite.
Prerequisites for Mobile testing1:30
Learn the prerequisites for mobile testing in Context QA, including uploading APKs for Android and IPAs for iOS in the test development upload section to enable reliable mobile test automation.
APK & IPA Uploads0:48
Test Case Generation1:55
Generate a mobile test case in Context QA from a simple English prompt after uploading an APK, using the AI assistant to configure Android and view logs and run history.
Test Suite & Test Plan Creation1:45
Environment Setup3:57
Mobile Testing

Salesforce Testing Overview1:24
Explore Salesforce testing essentials and automate lead, case, and opportunity workflows with ContextQA, handling dynamic dom structure, login flows, data entry, and reports.
Test Case Generation for Saleforce Application1:52
Data Handling for Salesforce Application3:07
Learn to manage application-specific data with context QA by using test data profiles, parameters, and variables to run Salesforce login tests across multiple datasets.
Execution and Logs for Salesforce Application2:56
Execute multiple Salesforce test cases in parallel with Context QA, using intelligent wait state handling to wait for ready elements without fixed delays and review logs.
SAP Testing Overview2:33
Specialized Validations & Best Practices

AI Agent from User Story3:07
AI Verify Complex Scenarios3:16
Context QA shows how to verify dynamic data, such as random IDs, by adding AI verification steps to test cases, replacing hard-coded values and ensuring new IDs appear correctly.
AI Self-Healing & Conditional Validations1:36
Learn how ContextQA automates test maintenance with AI autohealing and conditional validations, mapping changed elements like sign-in to login to keep tests reliable and time-efficient.
Root Cause Analysis & Impact Analysis2:12
Context QA uses root cause analysis to quickly identify test failures by analyzing execution video and visual evidence, guiding password updates and fixes to keep automation running.
Knowledge Base1:51
Advanced AI Verification and Re-use3:01
Verify dynamic IDs, fetch them with AI, and reuse them in later test steps using Context QA to avoid hard-coded values.
Advanced AI Features

Email Validation3:11
Naming Conventions2:25
Reusable Components3:56
Leverage reusable components to speed up test development by reusing prerequisites, step groups, test data profiles, environments, and test suites across tests, plans, and runs.
Modifying Existing Tests1:49
Navigate to the test development section to modify existing test cases in Context QA, adding and editing steps with NLP templates, and reordering steps before updating.
Labeling, Bulk Change in Labels1:39
Learn how labeling and bulk label changes organize and accelerate test case management in ContextQA, using auto-generated labels, manual edits, and bulk actions to search and manage tests efficiently.
Specialized Validations & Best Practices

Requirements

No prior programming or automation experience is required to take this course. Learners should have a basic understanding of software testing concepts and a willingness to explore AI-driven automation.
Familiarity with APIs, JIRA, or CI/CD pipelines is helpful but not mandatory. All tools, platforms, and environments used in the course are provided through ContextQA's no-code interface, making it accessible to beginners and experienced testers alike.

Description

The ContextQA Essentials: Building and Running AI-Powered Tests equips QA professionals, software testers, and automation engineers with the knowledge and skills to harness artificial intelligence for smarter, faster, and more reliable testing. As software systems grow in scale and complexity, traditional testing methods are no longer sufficient. This program is designed to bridge that gap by introducing participants to the latest AI-driven techniques that revolutionize the way testing is performed.

The course provides in-depth coverage of AI-powered test generation, automated execution, defect detection, and predictive analytics across diverse platforms including web, mobile, packaged enterprise applications, and large-scale systems. Participants will explore how AI can dramatically increase efficiency by reducing repetitive manual effort, improving accuracy, and expanding test coverage.

Learners will gain practical experience through hands-on labs, guided exercises, and real-world case studies, where they will design and implement intelligent test automation frameworks. The program also emphasizes the integration of AI-powered testing into CI/CD pipelines, enabling faster releases without compromising quality. In addition, participants will master advanced validation methods spanning functional, performance, security, cross-platform, and non-functional testing areas.

Upon completion, participants will be able to confidently execute AI-enabled testing strategies, streamline workflows, and accelerate delivery of high-quality applications. The certification validates not only technical expertise but also the ability to apply AI innovations effectively in modern testing environments.

Graduates of this program will be well-prepared for advanced roles in test automation, quality engineering, and AI-driven quality assurance, positioning themselves as future-ready professionals in a rapidly evolving industry. This course contains the use of artificial intelligence generated images, audio and some contents.

Who this course is for:

Beginners, Testers, QA professionals, Business Analyst and Engineers who want to transition from conventional testing to becoming AI-enabled Test Automation Engineers

ContextQA Essentials: Building and Running AI-Powered Tests

What you'll learn

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Course content

Getting Started6 lectures • 17min

Test Design (Core Foundation)7 lectures • 27min

Test Execution & Orchestration2 lectures • 2min

Test Data & Variables6 lectures • 40min

Logic Handling8 lectures • 18min

API Testing with ContextQA6 lectures • 10min

Mobile Testing with ContextQA6 lectures • 11min

Packaged Platform-Specific Testing (Salesforce & SAP)5 lectures • 12min

Advanced AI Features6 lectures • 15min

Specialized Validations & Best Practices5 lectures • 13min

Requirements

Description

Who this course is for: