Software Testing
AI, ML & Intelligent Testing
Learn about AI, ML, and Intelligent Testing to make software testing faster, easier, and more efficient. Find out how to use advanced tools, frameworks, and methods to make smart test automation solutions.
5/5(4,890 Reviews)
Level
Advanced
Duration
8 Weeks
What is AI, ML & Intelligent Testing?
This training by Techpratham gives you the skills you need to use AI and machine learning in software testing. You will learn about intelligent test execution, predictive analytics, test optimization, self-healing automation, and defect prediction. The course talks about AI-based testing tools like Test.ai, Applitools, and AI frameworks for automation. By the end, you'll be able to use next-generation smart testing methods on applications for businesses.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks
The candidate will get access to the presentation taken-up during the session.
Notes
Consolidated notes in word document.
Assignments
Assignments for every module will be covered.
MCQs
MCQs for every module covered in the session would be provided.
Video Recording
Daily Session would be recorded and shared to the candidate.
Dumps for Certification
We will provide dumps for the certification exam, which will help you to prepare for the exam.
Updated Content
We provide Generative AI Driven content By experts.
Projects
3 Live Projects will be provided for practice.
AI, ML & Intelligent Testing Course Curriculum
.
Introduction to AI, ML & Intelligent Testing
Section 1
Understand the role of AI and ML in modern software testing.
AI & ML fundamentals
Intelligent test automation
Benefits of AI in testing
Use cases & industry adoption
Key Projects
AI, ML & Intelligent Testing
AI-Powered Defect Prediction System
Create a system that uses machine learning algorithms to look at old defect data and guess what bugs will happen in the future. The project involves cleaning up the data, training machine learning models, and using predictive analytics to make tests more thorough and lower the number of defects in production. This project in the real world helps with risk-based testing and makes software quality assurance more efficient.
Self-Healing Test Automation Framework
Use AI tools like Test.ai, Applitools, or Selenium with AI plugins to make a framework for self-healing automation. When the UI changes, the system should automatically update locators. This will make it easier to keep tests up to date. This project is about smart test execution, automatic bug detection, and adaptive testing strategies for enterprise applications that can grow.
NLP-Based Automated Test Case Generator
Make a tool that uses NLP to turn natural language requirements into test cases that can be run. The system uses Natural Language Processing to read user stories, make test scenarios, and run them. This project shows how AI, ML, and NLP can be used in software testing to speed up requirement validation and make test automation better.
AI, ML & Intelligent Testing – Associate Training Program
Category
Associate
Exam Name:
AI, ML & Intelligent Testing – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
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Frequently Asked Questions (FAQs)
What is AI & Intelligent Testing?
AI & Intelligent Testing uses automation tools, machine learning, and artificial intelligence to make tests more efficient, improve execution, and guess where defects will happen.
ERP Partners
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