Level 5 Diploma in Artificial Intelligence and Machine Learning
Empowering professionals through accredited international qualifications.
Explore Other CoursesCourse Overview
HiQual UK delivers the Level 5 Diploma in Artificial Intelligence and Machine Learning, designed for learners progressing from Level 4 AI/Data qualifications who want to specialize in advanced AI systems and machine learning models. The program emphasizes deep learning, advanced data analytics, neural networks, and compliance with international standards. Participants will gain the competence to design, train, and deploy AI models while preparing audit‑ready documentation for professional and regulated environments.
Qualification Details
| Qualification Title | Level 5 Diploma in Artificial Intelligence and Machine Learning |
|---|---|
| Total Credits | 60 |
| Guided Learning Hours | 120 |
| Qualification Time | 240 |
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Advanced Principles of AI & Machine Learning Core frameworks, methodologies, and applications in modern AI systems.
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Python Programming for AI & ML Advanced syntax, libraries (TensorFlow, PyTorch, Scikit‑Learn), and modular programming.
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Data Engineering & Big Data Analytics Data pipelines, preprocessing, distributed systems, and cloud‑based analytics.
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Supervised & Unsupervised Learning Models Regression, classification, clustering, and reinforcement learning.
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Neural Networks & Deep Learning Architectures CNNs, RNNs, LSTMs, and advanced neural network design.
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Natural Language Processing (NLP) Text mining, sentiment analysis, and language models.
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Computer Vision & Image Recognition Object detection, image classification, and applied vision systems.
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Model Training, Optimization & Evaluation Hyperparameter tuning, cross‑validation, accuracy metrics, and performance optimization.
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Audit‑Ready Documentation & Compliance Standards Technical documentation, GDPR compliance, and ISO/IEC AI frameworks.
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Case Studies & Practical AI/ML Projects Real‑world AI applications such as predictive analytics, chatbots, and autonomous systems.
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Builds competence in AI engineering and machine learning systems
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Enhances compliance with RQF, BCS, IEEE, ISO/IEC AI, and W3C standards
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Strengthens skills in deep learning, NLP, and computer vision
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Provides tools for audit‑ready AI projects and compliance frameworks
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Offers recognized certification to support careers in AI engineering, data science, and IT leadership
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Learners progressing from Level 4 Diploma in Artificial Intelligence and Data Analytics (AIDA‑414)
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Students seeking advanced careers in AI, machine learning, and data science
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IT professionals aiming to formalize their expertise with advanced certification
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Assessment Type: Written exam + AI/ML project + viva
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Format: MCQs, applied coding tasks, project submission, and oral defense
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Total Questions: 90 theory + 1 project + 1 viva
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Passing Score: 70%
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Duration: 8–10 weeks (150–180 hours total)
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Certification: Level 5 Diploma in Artificial Intelligence and Machine Learning (AIML)
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