05-09-2026, 03:13 PM
[center]![[Image: b88940ccf4dcc03adcdf96365dcde2b2.jpg]](https://i127.fastpic.org/big/2026/0509/b2/b88940ccf4dcc03adcdf96365dcde2b2.jpg)
Learn Testmu Ai - Agentic Ai Quality Engineering Platform
Published 5/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 2m | Size: 938.42 MB[/center]
Master AI-Driven Testing with TestMu tool - Plan, Generate, Execute & Analyze Tests Using Autonomous AI Agents
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
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
![[Image: b88940ccf4dcc03adcdf96365dcde2b2.jpg]](https://i127.fastpic.org/big/2026/0509/b2/b88940ccf4dcc03adcdf96365dcde2b2.jpg)
Learn Testmu Ai - Agentic Ai Quality Engineering Platform
Published 5/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 2m | Size: 938.42 MB[/center]
Master AI-Driven Testing with TestMu tool - Plan, Generate, Execute & Analyze Tests Using Autonomous AI Agents
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
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
Code:
https://rapidgator.net/file/4a1e4c09a74a274aa7124db5db2cf2fd/Learn_TestMu_AI_-_Agentic_AI_Quality_Engineering_Platform.rar.html
https://nitroflare.com/view/5EB469E315D4523/Learn_TestMu_AI_-_Agentic_AI_Quality_Engineering_Platform.rar

