Udemy – AI-Powered Software Testing: From Planning to Closure 2024-6

Published on: 2024-09-02 21:31:49

Categories: 28

Description

AI-Powered Software Testing Course: From Planning to Closure. Revolutionizing Software Testing with Artificial Intelligence: Mastering Large Language Models for Quality Assurance. Unleash the potential of AI to transform your software testing approach. This comprehensive course empowers you to use large-scale linguistic models (LLM) to simplify, improve and enhance your testing process. Key learning outcomes:

Mastery of artificial intelligence-based techniques for efficient requirements analysis and risk identification.
Optimizing test planning and estimation using artificial intelligence-based tools.
Creating robust test cases and scenarios with the help of LLM.
Building and managing efficient test environments with the guidance of artificial intelligence.
Analyze test results, identify defects and optimize future test cycles using artificial intelligence.
Understanding the ethical implications of artificial intelligence in testing and ensuring responsible practices.

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

Dramatically improve software quality through AI-enhanced testing strategies.
Increase test productivity and reduce time to market.
Make data-driven decisions to optimize your testing processes.
Effectively communicate with stakeholders the benefits of AI in testing.

What you will learn

Mastering the basics of generative artificial intelligence: understanding the relationships between artificial intelligence, machine learning, deep learning, and large language models and their applications in software testing.
Optimizing requirements analysis using artificial intelligence: including making requirements more precise, creating traceability matrices, and identifying testable components.
Improve test planning skills: use the LLM to define objectives, create detailed test plans, estimate efforts and identify required resources.
Improve test case development: increase coverage and efficiency by designing, reviewing and generating test data and scripts with the help of artificial intelligence.
Mastery of artificial intelligence-based test execution techniques: including root cause analysis, defect logging, retesting and comprehensive reporting.
Use LLM to streamline end-of-test activities: including benchmark analysis, identifying trends, and preparing final test result reports.

This course is suitable for people who

Quality assurance and testing engineers are looking to upgrade their skills with AI-based techniques and be leaders in their field.
Test managers and team leaders who are responsible for overseeing test processes and want to implement advanced AI solutions to improve efficiency and effectiveness.
People from other IT fields who are moving into software testing roles and want to enter the field with advanced AI-based skills.
Fresh computer science students and graduates: Those who have a basic understanding of software development and testing and want to specialize in AI-enhanced testing methods to gain a competitive edge in the job market.
Software Developers with Testing Responsibilities: Developers involved in testing activities who want to leverage AI to streamline their testing processes.