Graduate Certificate in AI for Quality Assurance Testing
-- viewing nowThe Graduate Certificate in AI for Quality Assurance Testing is a career-advancing course designed to equip learners with essential skills in AI and machine learning. This program is crucial in today's digital age, where AI is revolutionizing various industries, including quality assurance testing.
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Course Details
• Unit 1: Introduction to AI & Machine Learning
• Unit 2: AI in Quality Assurance Testing
• Unit 3: Machine Learning Algorithms & Techniques
• Unit 4: Natural Language Processing (NLP) in QA Testing
• Unit 5: Computer Vision in Test Automation
• Unit 6: AI-Driven Test Data Generation
• Unit 7: Predictive Analytics for Defect Prevention
• Unit 8: Continuous Integration & Continuous Deployment (CI/CD) with AI
• Unit 9: Ethical Considerations in AI-based QA Testing
• Unit 10: Future Trends: AI & Testing in Emerging Technologies
Career Path
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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