Global Certificate in AI & QA Process Automation

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The Global Certificate in AI & QA Process Automation is a comprehensive course that addresses the growing industry demand for AI and automation skills. This certification equips learners with essential skills to advance their careers in AI and QA process automation.

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About this course

The course covers key topics including intelligent automation, machine learning, and natural language processing. Learners gain hands-on experience with popular automation tools and techniques, preparing them for real-world implementation. In today's digital age, AI and automation are critical components of business success. This course provides learners with a competitive edge, enabling them to drive innovation, improve efficiency, and reduce costs. By completing this course, learners will have demonstrated their expertise in AI and QA process automation, making them highly attractive to potential employers.

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Course Details

Introduction to AI & QA Process Automation: Overview of AI, Machine Learning, and QA Process Automation
AI in Test Automation: Using AI to enhance test automation, AI-driven test automation tools
Natural Language Processing (NLP): Understanding NLP, NLP in test automation, chatbots, and virtual assistants
Computer Vision: Image recognition, object detection, and optical character recognition (OCR) in QA process automation
Machine Learning in QA: Regression testing, anomaly detection, and predictive analytics
Robotic Process Automation (RPA): RPA in QA, RPA tools, and RPA use cases
Data-Driven Testing: Data-driven automation, data preparation, and data management
Continuous Integration & Continuous Deployment (CI/CD): Integrating AI & QA process automation with CI/CD pipelines
Security in AI & QA Process Automation: Security considerations, best practices, and threat modeling

Career Path

The Global Certificate in AI & QA Process Automation is a valuable credential for professionals looking to explore career paths in these cutting-edge fields. Here's a snapshot of the current UK job market trends for four key roles: 1. **AI Engineer**: AI Engineers are highly sought-after, with a 45% share of the AI & QA Process Automation job market. They design, develop, and implement AI models and algorithms to solve complex business challenges. 2. **QA Automation Engineer**: With a 30% share, QA Automation Engineers are responsible for automating software testing processes to improve efficiency and reduce human error. 3. **Data Scientist**: Data Scientists, holding a 20% share, leverage statistical techniques and machine learning algorithms to extract insights from vast datasets. 4. **Machine Learning Engineer**: Machine Learning Engineers, representing a 15% share, focus on building, training, and deploying machine learning models to solve real-world problems. This 3D pie chart, with a transparent background and no added background color, provides a visually engaging representation of the demand for these roles. The chart is responsive and adapts to all screen sizes, ensuring an optimal user experience.

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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GLOBAL CERTIFICATE IN AI & QA PROCESS AUTOMATION
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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