AI Software Testing & Quality Assurance

Class Format:
Online
Tuition/Cost

The AI Software Testing & Quality Assurance Program is a 16-week intensive course designed for individuals seeking to launch or advance their careers in software quality assurance. Participants gain hands-on experience in both manual and automated testing, mastering essential techniques such as functional, non-functional, regression, performance, and security testing. The program stands out by integrating cutting-edge AI-powered tools for automation, bug detection, predictive QA, and test reporting, preparing graduates to excel in tech companies, software product teams, and startups that are adopting AI-driven testing and continuous integration practices.

The AI Software Testing & QA Program is a 16-week intensive training that equips learners with the knowledge and practical skills to perform manual and automated testing, integrate AI-powered testing tools, and ensure software quality in modern development environments.Participants learn functional, non-functional, regression, performance, and security testing while leveraging AI tools for automation, bug detection, predictive QA, test reporting, and continuous integration.Graduates will be ready for QA roles in tech companies, software product teams, and startups that are implementing AI-driven testing and CI/CD practices.

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This Course Includes:
Language:
Multiple
‍Course Duration:
26 Weeks
Available on the app:
Yes
Internship Available:
Yes
Certificate Upon Completion

Career Paths After Completing This Course

  • Graduates can work as QA Engineers / Software Testers, Automation Testers, AI-Powered QA Analysts, Manual QA Specialists, Test Automation Engineers, Performance & Load Testers, Mobile QA Engineers, or API / Backend QA Specialists
  • Strong demand as organizations seek professionals to ensure software quality, optimize performance, and integrate AI-assisted testing
  • Opportunities across tech companies, software development firms, fintech, healthcare tech, and QA consulting services
  • Professionals with skills in AI-enhanced testing, automation tools, and performance analysis gain a competitive edge
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Scholarship Support with Earlston

Step by Step Curriculum

Below is the step-by-step curriculum for the course, designed to guide you from foundational concepts to advanced skills, ensuring a clear and structured learning path. Each unit builds on the previous one, helping you gain practical knowledge and prepare for real-world applications in your chosen field.
  • Unit 1–2: Introduction to Software Testing
  • Unit 3–4: Testing Techniques & Methodologies
  • Unit 5–6: Automation Testing Fundamentals
  • Unit 7–8: Performance & Load Testing
  • Unit 9–10: Security & Compliance Testing
  • Unit 11–12: Mobile & API Testing
  • Unit 13–14: QA Tools & Reporting
  • Unit 15: Capstone Project Part 1
  • Unit 16: Capstone Project Part 2 + Career Preparation

Salary Expectations After Completing the Course

Earning potential after completing this course can vary widely depending on your certification level, geographic location, and professional experience.  This range provides a realistic overview of what graduates can expect as they launch or advance their careers.
  • Salary Expectation: Varies by experience, role, and project type
  • Entry-Level QA Engineer: $45,000 – $65,000/year
  • Mid-Level Automation QA: $65,000 – $95,000/year
  • Senior QA / Lead: $95,000 – $130,000/year
  • Freelance / Remote AI QA Specialist: $20 – $50/hour
  • Additional Notes: Freelance and remote rates depend on project complexity, AI testing expertise, and client requirements
Financial Aid Resources with Earlston

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