Level 7 Diploma in Machine Learning and Deep Learning
Empowering professionals through accredited international qualifications.
Explore Other CoursesCourse Overview
HiQual UK delivers the Level 7 Diploma in Machine Learning and Deep Learning, designed for postgraduate learners and senior professionals seeking mastery in advanced AI techniques. The program emphasizes supervised and unsupervised learning, neural networks, deep learning architectures, optimization, ethics, and compliance. Participants will gain the competence to design, train, and deploy advanced machine learning models for real‑world business, healthcare, and technology applications while preparing audit‑ready documentation for regulated practice.
Qualification Details
| Qualification Title | Level 7 Diploma in Machine Learning and Deep Learning |
|---|---|
| Total Credits | 60 |
| Guided Learning Hours | 120 |
| Qualification Time | 240 |
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Principles of Machine Learning & Deep Learning Advanced frameworks, professional conduct, and industry expectations.
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Mathematics & Statistics for ML/DL Linear algebra, calculus, probability, and optimization methods.
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Supervised Learning Techniques Regression, classification, and ensemble methods.
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Unsupervised Learning Techniques Clustering, dimensionality reduction, and anomaly detection.
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Neural Networks & Deep Learning Architectures CNNs, RNNs, LSTMs, GANs, and transformers.
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Model Training & Optimization Hyperparameter tuning, gradient descent, and regularization.
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Big Data & Cloud Platforms for ML/DL Scalable training using AWS, Azure, and Google Cloud.
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Ethics, Governance & Responsible AI Bias, fairness, transparency, and compliance with GDPR/ISO standards.
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Business Applications of ML/DL Predictive analytics, natural language processing, computer vision, and recommendation systems.
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Capstone Project & Portfolio Development Real‑world case studies, industry projects, and portfolio creation.
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Builds mastery in neural networks, deep learning architectures, and advanced ML techniques
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Enhances compliance with RQF, Ofqual, GDPR, and ISO standards
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Strengthens skills in optimization, governance, and responsible AI
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Provides tools for audit‑ready documentation and corporate reporting
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Offers recognized certification to support careers in AI engineering, research, and executive leadership
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Postgraduate learners with prior qualifications in computing, mathematics, or data science
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Senior professionals seeking leadership roles in AI, ML/DL engineering, and corporate innovation
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Individuals aiming to progress to doctoral research or C‑suite AI leadership positions
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Assessment Type: Capstone project + written exam + portfolio review
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Format: Applied case studies, MCQs, project defense, and oral presentation
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Total Questions: 100 theory + project submission + portfolio defense
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Passing Score: 70%
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Duration: 9–12 months (1,200–1,400 hours total)
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Certification: Level 7 Diploma in Machine Learning and Deep Learning (MLDL)
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