Qa-Testing Advanced Premium

AI-Powered Test Automation Virtual Internship

In this advanced virtual internship, students will explore the power of artificial intelligence and machine learning to enhance test automation. They will learn how to leverage AI-powered techniques like self-healing tests and predictive analysis to improve the efficiency, reliability, and scalability of their test suites. By the end of the program, students will be equipped with the skills to design and implement cutting-edge test automation solutions that can adapt to changing application requirements and proactively identify potential issues.

weeks
7 tasks
0 enrolled
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Track price: $49.00

Track Overview

This track provides hands-on experience and real-world projects to build your skills.

Tasks & Milestones

Explore AI/ML Techniques in Test Automation

Advanced

Research and summarize the various AI and ML techniques that can be applied to test automation, such as computer vision, natural language processing, and reinforcement learning.

8 hours

Implement a Self-Healing Test

Advanced

Design and implement a self-healing test using computer vision techniques to automatically adapt to changes in the application under test.

16 hours

Predict Test Failures with Machine Learning

Advanced

Develop a machine learning model to predict test failures based on historical test data and application metrics.

24 hours

Implement Proactive Test Failure Alerts

Advanced

Design and implement a system to proactively alert stakeholders about predicted test failures, allowing them to address issues before they impact the product.

16 hours

Design a Scalable Test Automation Framework

Advanced

Design and implement a scalable and maintainable test automation framework that can accommodate AI/ML-powered components.

24 hours

Implement a Collaborative Test Automation Environment

Advanced

Design and set up a collaborative test automation environment that enables multiple team members to contribute and manage test automation assets.

16 hours

Capstone Project: AI-Powered Test Automation Solution

Advanced

Design and implement a comprehensive AI-powered test automation solution for a real-world application.

48 hours

Prerequisites

  • • Proficiency in at least one programming language (e.g., JavaScript, Python, Java)
  • • Experience with test automation tools and frameworks (e.g., Selenium, Cypress, Jest, JUnit, TestNG)

Certificate

Certificate of Completion

Earn a certificate upon successful completion