Level 5 Diploma in Artificial Intelligence and Machine Learning
The Level 5 Diploma in Artificial Intelligence and Machine Learning offered by OXQUAL develops advanced competence in machine-learning algorithms, deep learning, data engineering, natural-language processing, computer vision, model optimisation and applied AI development.
About this qualification
The Level 5 Diploma in Artificial Intelligence and Machine Learning offered by OXQUAL develops advanced competence in machine-learning algorithms, deep learning, data engineering, natural-language processing, computer vision, model optimisation and applied AI development.
Career-focused
Develop relevant skills and knowledge that can support your next professional step.
What you'll cover
Key topics covered in this OXQUAL programme include:
- Advanced Artificial Intelligence
- Machine Learning Methodologies
- Python for AI
- TensorFlow
- PyTorch
- Scikit-Learn
- Data Engineering
- Data Pipelines
- Big-Data Analytics
- Cloud Analytics
- Regression
- Classification
- Clustering
- Reinforcement-Learning Awareness
- Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- LSTM Awareness
- Natural Language Processing
- Text Mining
- Sentiment Analysis
- Computer Vision
- Image Classification
- Object Detection
- Hyperparameter Tuning
- Cross-Validation
- Model Evaluation
- AI Project Development
Who it's designed for
This OXQUAL programme is suitable for:
- AI Learners progressing from foundational study
- Junior Machine-Learning Developers
- Data-Science Learners
- IT Professionals developing advanced AI skills
What you'll gain
Successful completion of this OXQUAL programme can help learners to:
- Develop advanced AI and machine-learning competence.
- Strengthen deep-learning knowledge.
- Improve NLP and computer-vision skills.
- Develop data-engineering capability.
- Improve model optimisation.
- Build advanced AI project experience.
How this qualification is assessed
The assessment pattern for this OXQUAL programme is outlined below.
- Assessment Type: Written examination, AI/ML project and viva.
- Format: Multiple-choice questions, applied coding tasks, project submission and oral defence.
- Total Questions: 90 theory questions plus 1 project and 1 viva.
- Passing Score: 70%.
- Duration: 8–10 weeks (150–180 hours total).
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