Learn TestMu AI - Agentic AI Quality Engineering Platform

Name: Learn TestMu AI - Agentic AI Quality Engineering Platform
Rating: 4.5 (121 reviews)

Master AI-Driven Testing with TestMu AI — Plan, Generate, Execute & Analyze Tests Using Autonomous AI Agents

Created byRahul Shetty Academy - 1.3 Million QA Learners

Last updated 7/2026

English

English [Auto],

What you'll learn

Understand the fundamentals of Agentic AI in Quality Engineering and how it transforms modern testing
Use TestMu AI Test Manager to plan, organize, and manage test cases with AI assistance
Generate test scenarios using KaneAI from natural language, Jira tickets, PRDs, and real-world inputs
Execute tests using HyperExecute with faster orchestration across real devices, browsers, and environments
Leverage AI-powered Test Intelligence for error classification, root cause analysis, and flakiness detection
Gain hands-on knowledge to transition from traditional QA to AI-powered Quality Engineering roles

Course content

7 sections • 20 lectures • 3h 0m total length

How AI-powered QA platforms unify the entire testing lifecycle into a single hub6:48
Explore TestMuAI, an agentic AI quality engineering platform that unifies planning, authoring, test generation, execution in cloud, and AI-driven analysis across the full testing lifecycle.
Introduction to TestMu AI Platform -Account creation with high level overview4:12
Sign up for TestMu AI via the course link to start a 30-day free trial with two AI agents and automation script generation, and explore test manager, execution, and analysis.
Product Enroll Instructions0:06

Understand how Kane AI tests gets place in Test Manager module with options10:01
Explore how Kane AI tests run on hyper execute with browser combinations and parameterized data, managed by the test manager with reusable modules and Jira or Azure DevOps integration.
What are Test Runs? How to effectively create Release Milestones & tag Test Runs13:52
Learn to plan releases with test milestones, create test runs, and link tests to milestones. Explore cloud-based configurations, parallel executions, and UAT validation to ensure release readiness.

Monitor & Troubleshoot the test runs & logs from Hyperexecute7:12
Monitor and troubleshoot test runs by inspecting logs, builds, and scenarios in Hyperexecute; analyze AI-driven reports, insights, and milestones to identify flaky tests and anomalies.
Understand how to make Kane AI Tests dynamic with global, local & env variables9:09
Learn to design Kane AI tests with global, local, and environment variables to run across QA, UAT, and prod without hard coding URLs, using parameterization.
What are Parameters? How to run AI Tests with Data driven Parameterization15:51
Explore how to parameterize tests with data sets across different environments, using parameters and variables appropriately to drive robust AI test quality.

How Author App test works in Kane AI - Demo example of Mobile Automaion test7:51
Discover how author app test enables mobile automation on Kane AI by uploading your app, selecting device and OS, and generating Appium Python scripted tests with manual interactions and assertions.
E2E journey of Test from Test Manager - Test Runs - Hyper Execute - Insights5:49
Explore the end-to-end test workflow from test manager to hyper execute, run tests on cloud, view detailed app automation logs, and gain insights with dashboards and test intelligence.
Kane AI - Generate Scenarios Mode - Let Agent explore App & generate Tests10:54

What is Kane CLI? 3 Powerful features it offers in Quality Engineering4:59
Quality Assurance Life cycle with Human in Loop with Kane CLI - Ingest & Review14:06
Design Tests from CLI based on Use Cases generated from Business documents13:53
Generate Automated Tests from the Test.Md files with TestMuAI Integration10:51
Human in Loop to Chat & approving Use cases before proceeding to Tests design14:52

Requirements

No programming experience is needed. You will learn everything from scratch

Description

The future of QA is no longer just automation — it is Agentic AI-driven Quality Engineering.

In this course, you will learn how to use TestMu AI, a next-generation platform that transforms software testing into an intelligent, end-to-end AI-powered ecosystem.

Instead of manually writing and maintaining test scripts, you will work with AI agents that can plan, author, execute, and analyze tests autonomously.

We will start by understanding the fundamentals of Agentic AI in Quality Engineering, and then dive deep into each stage of the testing lifecycle:

Planning with AI Test Manager – Organize, manage, and migrate test cases with intelligent assistance
Authoring with KaneAI – Generate test scenarios using natural language, PRDs, Jira tickets, and more
Execution with HyperExecute – Run tests faster with AI-driven orchestration across real devices and environments
Analysis with Test Intelligence – Detect flaky tests, perform root cause analysis, and enable auto-healing

By the end of this course, you will be able to:

Build AI-driven test strategies
Generate test cases automatically from requirements
Execute tests efficiently across environments
Analyze failures with AI insights
Test AI applications using multi-agent systems

This course is designed for QA engineers, automation testers, and professionals looking to upgrade into AI-powered testing roles.

If you want to stay ahead in the QA industry and understand how AI is reshaping testing — this course is your complete roadmap.

Who this course is for:

Software Testers
Quality Assurance Engineers

Learn TestMu AI - Agentic AI Quality Engineering Platform

What you'll learn

Explore related topics

Course content

Introduction to TestMu AI - An Agentic AI Quality Engineering Platform3 lectures • 11min

Kane AI - Power of AI Agent in building Automation Tests with Natural Language2 lectures • 20min

AI Enabled Test Manager - Unified Place for having Tests, Test Runs, Milestones2 lectures • 24min

Inject TestConfigs, Parameters & Instances to run on Hyper Execute (Cloud Infra)3 lectures • 32min

TestMu AI -Powered by cloud Infrastructure for OS, Browser & Device combinations2 lectures • 10min

Kane AI extended capabilities -An Agent to generate Test Artifacts3 lectures • 25min

Kane CLI - AI Browser Automation in Your Terminal5 lectures • 59min

Requirements

Description

Who this course is for: