Learn AI Test Automation Online: Free Course with AI Tutor & Certificate
You will learn to build self-healing tests and orchestrate AI test agents in this free AI testing course. Across 21 hours and 62 video lessons, you'll master prompt engineering and codeless automation. By the end, you can integrate large language models directly into your CI/CD pipelines.
What you'll learn in this AI Test Automation course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Implement AI-driven test automation strategies, including self-healing tests and visual AI techniques, to enhance testing efficiency and accuracy.
Design and execute comprehensive test plans using generative AI, mastering prompt engineering and data-driven testing methodologies.
Utilize codeless automation tools and AI-powered test authoring to streamline test creation and maintenance processes.
Build and orchestrate AI test agents, leveraging large language models and agentic AI for advanced testing scenarios.
Integrate AI-powered tests into CI/CD pipelines, ensuring robust automation frameworks and intelligent anomaly detection for continuous improvement.
AI Test Automation course syllabus
01 Module 1: Foundations of AI in Test Automation
- The Enterprise Testing Landscape and AI's Emergence
- AI Governance: Navigating Data Privacy, Security, and Procurement
- Overcoming Adoption Hurdles: Scalability and Change Management
- The ROI of AI: Real-World Use Cases and Future Outlook
- Introduction: The Shift to AI-Powered Quality Engineering
- AI for Test Creation, Data Generation, and Visual Testing
- Advanced AI Analytics, Test Prioritization, and Q&A
- Introduction and the Significance of AI in Testing
- Cultivating the Right Mindset for AI Adoption
- Practical Applications and Challenges of AI in QE
- Future-Proofing Skills and Predictions for AI in Testing
- Traditional Test Automation Foundations: Selenium and Modern Frameworks
02 Module 2: Generative AI for Test Planning and Design
- Mastering Prompt Engineering for Software Testing
- Generating Comprehensive Test Plans with AI
- Authoring Effective Test Cases from User Stories Using AI
- Boosting Bug Report Quality with AI-Generated Details
- Introduction to Data-Driven Testing & Data Creation Methods
- Applying Data: Extensions and Data-Driven Journey Execution
- Environment-Specific Testing, Advanced AI Features, and Q&A
- Mastering API Testing with Natural Language Processing
03 Module 3: AI-Powered Test Authoring and Codeless Automation
- Getting Started with Codeless AI Automation using TestRigor
- Automating a Real-World Flight Reservation Scenario with TestRigor
- The Challenges of Test Automation & The True Test Solution
- Practical Use Cases and End-to-End Demo of Catalon True Test
- Authoring Tests from Plain-Language Prompts with Mabl
- Live Workshop: Automating Software Tests in Plain English
- AI-Powered Element Detection and Smart Locator Generation
- The Business Case for AI in Testing and Core Concepts
- How Deep Learning Solves Test Fragility and Maintenance
- Data Representation, Generative AI, and the Future of Testing
04 Module 4: Intelligent Test Maintenance: Self-Healing and Visual AI
- Understanding the Core Mechanism of Self-Healing Tests
- Introduction to the Self-Healing Execution Cloud
- Cross-Device Testing with Visual AI and the Ultrafast Grid
- Deep Dive into Self-Healing Locators
- Execution Cloud Q&A and Final Thoughts
- Introduction to AI Visual Testing and Core Concepts
- Implementing Visual Tests: A Practical Katalon Demo
- Visual Testing Q&A and Best Practices
- Advanced Computer Vision for Codeless UI Automation
- Validating Dynamic Content and UI with Mabl's Visual Assertions
- Introduction to Serial vs. Parallel Testing
- Configuring Parallel Execution and Worker Management
05 Module 5: Building and Orchestrating AI Test Agents
- Fundamentals of Large Language Models (LLMs) and AI Agents
- Understanding the Model Context Protocol (MCP) for Agentic AI
- Building a UI Testing Agent with Playwright and MCP
- Querying Databases with Natural Language using a Database MCP Agent
- Workshop: Building QA Automation Workflows with n8n and AI Agents
06 Module 6: Advanced Applications and The Future of AI in Testing
- Introduction to AI-Powered API Testing with Test Trigger
- Advanced API Automation: Dynamic Data, Chaining, and Rules
- Integrated End-to-End Testing and Q&A
- Introduction to AI Mobile Testing and OTP Automation
- Building Reusable and Data-Driven Mobile Tests
- Test Execution, Reporting, and Ecosystem Integration
- Integrating AI-Powered Tests into a GitHub Actions CI/CD Pipeline
- Exploring the Top Software Testing Trends for 2026
- The Shift to Playwright and AI in Modern QA
- Implementing AI Guardrails for Robust Automation Frameworks
- End-to-End AI Workflow: From Manual Tests to Automated Code
- Learning Resources, Course Details, and Live Q&A
- Intelligent Anomaly Detection in Test Results and Performance Monitoring
- Building Production-Ready AI Pipelines for Test Automation with ZenML
- Computer Vision MLOps: End-to-End Workflows for UI Test Automation
Real-world projects you'll work on
Practice the exact kind of work AI Test Automation professionals do on the job.
AI-Driven Test Automation for Global E-Commerce Platforms: A Case Study with Amazon
Revolutionizing Financial Software Testing: AI-Powered Automation for Goldman Sachs
AI-Powered Quality Engineering in Healthcare: Automating Tests for Pfizer's Digital Solutions
Enhancing User Experience with AI: Automated Testing for Netflix's Streaming Service
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this AI Test Automation course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Software testers in India looking to upgrade from manual to AI-driven automation.
- QA engineers wanting to learn codeless automation and self-healing test techniques.
- Computer science students preparing for modern quality engineering roles.
- Developers interested in integrating large language models into deployment pipelines.
Prerequisites
- Basic understanding of software testing concepts is recommended.
- Familiarity with at least one programming language like Python or Java is helpful.
- No prior experience with artificial intelligence is required.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete AI Test Automation course: free, structured and job-focused
This free AI automation testing course teaches you how to create self-healing tests and design comprehensive test plans using generative AI. We start with the basics in Foundations of AI in Test Automation before moving into Generative AI for Test Planning and Design. You'll quickly learn how to use large language models for prompt engineering and data-driven testing. As you progress through 62 video lessons, you will master codeless tools in AI-Powered Test Authoring and Codeless Automation. The curriculum also covers Intelligent Test Maintenance: Self-Healing and Visual AI, ensuring you can detect anomalies and fix broken test scripts automatically.
Practical experience is central to mastering these skills. You will complete four major hands-on projects to apply what you learn. These include AI-Driven Test Automation for Global E-Commerce Platforms: A Case Study with Amazon, and a detailed project on AI-Powered Automation for Goldman Sachs. You'll also work on AI-Powered Quality Engineering in Healthcare: Automating Tests for Pfizer's Digital Solutions, and Enhancing User Experience with AI: Automated Testing for Netflix's Streaming Service. By the final modules on Building and Orchestrating AI Test Agents and Advanced Applications and The Future of AI in Testing, you will know exactly how to deploy these techniques in real production environments.
LearnTube makes upskilling simple and highly effective. We organize the best YouTube video lessons into a clear, structured path. An AI tutor provides a quick quiz after every single lesson to check your understanding. The learning experience is entirely free, and you can add an optional paid certificate once you finish the 21 hours of content. With over 60,000 learners and 900 hiring partners, it's a proven way to improve your technical career.
Jobs you can target after learning AI Test Automation
AI Test Automation is a gateway skill for some of the fastest-growing roles in tech.
Designs and maintains automated test scripts using artificial intelligence tools.
Oversees testing strategies and implements generative AI for test planning.
Builds advanced testing frameworks and integrates AI agents into deployment pipelines.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a AI Test Automation certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this AI Test Automation course.
Is this AI testing course really free?
Yes. You can watch all 62 video lessons and take the AI tutor quizzes at no cost. The learning experience is completely free, while the official certification is an optional paid addition.
Are AI automation testing skills still in demand?
Absolutely. Companies are rapidly shifting from manual testing to AI-driven methods. Learning to build self-healing tests and orchestrate AI test agents makes you a highly valuable candidate for modern quality engineering roles.
Do I get a certificate after completing this training?
Yes. Once you finish all six modules and complete the final quizzes, you can purchase an optional certificate. This verified document proves your new technical skills to our 900 hiring partners.
How does this differ from watching plain YouTube tutorials?
We organize scattered videos into a clear 21-hour curriculum. Instead of guessing what to learn next, you follow a structured path. An AI tutor also tests your knowledge with a quiz after every single lesson.
Is this AI software testing course self-paced?
Yes, the entire curriculum is completely self-paced. You can study the 21 hours of material whenever you have free time. There are no strict deadlines, allowing you to learn at a comfortable speed.
Do I need advanced coding skills to start?
No. While basic programming knowledge is helpful, this course covers codeless automation tools extensively. You will learn how to use generative AI and prompt engineering to create tests without writing complex scripts from scratch.
What kind of projects will I build?
You will complete four major case studies. These include automating tests for global e-commerce platforms like Amazon and improving healthcare quality engineering for Pfizer. These practical exercises prepare you for real workplace tasks.
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62 lessons, an AI tutor that never gets tired, and a certificate at the finish line. All you need is an hour a day.
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