Global Certificate in Deep Learning for QA Performance

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The Global Certificate in Deep Learning for QA Performance is a comprehensive course that addresses the growing industry demand for professionals with expertise in deep learning and AI. This certificate program emphasizes the application of deep learning techniques to improve Quality Assurance (QA) performance.

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About this course

Learners will gain essential skills in deep learning, neural networks, and computer vision, preparing them for careers in AI, machine learning, and QA. By completing this course, learners will demonstrate their proficiency in deep learning for QA and their ability to apply these techniques to real-world problems. The course is designed and delivered by industry experts, ensuring that learners receive up-to-date, practical training that is immediately applicable in the workplace. With a focus on hands-on learning and project-based assessments, this certificate program is an excellent opportunity for professionals to advance their careers and stay ahead of the curve in the rapidly evolving field of AI and deep learning.

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Course Details

Introduction to Deep Learning: Understanding the basics of deep learning, its applications, and benefits in QA performance
Neural Networks and Deep Learning: Exploring the structure and functionality of neural networks, including perceptrons, activation functions, and backpropagation
Convolutional Neural Networks (CNNs): Learning about CNN architecture, image recognition, and object detection
Recurrent Neural Networks (RNNs): Delving into RNN structure, sequence data processing, and natural language processing
Long Short-Term Memory Networks (LSTMs): Examining LSTMs, their applications, and improving long-range sequence prediction
Deep Reinforcement Learning: Mastering reinforcement learning, Q-learning, and deep Q-networks
Transfer Learning and Fine-Tuning: Applying pre-trained models, transfer learning, and fine-tuning techniques
Deep Learning Tools and Libraries: Hands-on experience with popular deep learning frameworks like TensorFlow, Keras, and PyTorch
Deep Learning for QA Performance Improvement: Utilizing deep learning models to enhance QA performance in areas such as test automation, defect prediction, and root cause analysis

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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GLOBAL CERTIFICATE IN DEEP LEARNING FOR QA PERFORMANCE
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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