Postgraduate Certificate in AI for Quality Assurance Teams
-- viewing nowThe Postgraduate Certificate in AI for Quality Assurance Teams is a career-advancing course designed to equip learners with essential skills in Artificial Intelligence (AI). This program is crucial in today's digital age, where AI is revolutionizing various industries, including quality assurance.
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Course Details
• Introduction to AI & Machine Learning: Understanding the basics of AI, Machine Learning, and Deep Learning; recognizing their potential for Quality Assurance.
• AI in Test Automation: Utilizing AI in test automation to improve efficiency, accuracy, and reliability; exploring various AI-driven testing tools.
• Natural Language Processing (NLP): Leveraging NLP techniques for test case generation, bug detection, and automated documentation.
• Computer Vision in QA: Applying computer vision for visual testing, image recognition, and GUI testing.
• Reinforcement Learning for Testing: Implementing reinforcement learning for intelligent test case prioritization and optimization.
• AI Ethics in Quality Assurance: Ensuring fairness, accountability, and transparency in AI-driven QA systems; understanding ethical implications and guidelines.
• Implementing AI in QA Teams: Practical strategies for integrating AI into QA workflows, team structures, and skill development.
• AI-driven Root Cause Analysis: Utilizing AI for root cause analysis to identify and address underlying issues in software.
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Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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