Level 4 Diploma in Artificial Intelligence and Data Analytics
The Level 4 Diploma in Artificial Intelligence and Data Analytics offered by OXQUAL develops practical competence in Python, data preparation, machine learning, introductory deep learning, cloud analytics, model evaluation and data-driven problem solving.
About this qualification
The Level 4 Diploma in Artificial Intelligence and Data Analytics offered by OXQUAL develops practical competence in Python, data preparation, machine learning, introductory deep learning, cloud analytics, model evaluation and data-driven problem solving.
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:
- Artificial Intelligence Fundamentals
- Data Analytics Fundamentals
- Python for Data Science
- NumPy
- Pandas
- Matplotlib
- Data Collection
- Data Cleaning
- Data Preprocessing
- Normalisation
- Feature Engineering
- Regression
- Classification
- Clustering
- Supervised Learning
- Unsupervised Learning
- Neural-Network Fundamentals
- Deep-Learning Awareness
- Big-Data Fundamentals
- Cloud Analytics Awareness
- TensorFlow Awareness
- Keras Awareness
- PyTorch Awareness
- Scikit-Learn
- Cross-Validation
- Model Evaluation
- Performance Optimisation
- Practical AI and Data Projects
Who it's designed for
This OXQUAL programme is suitable for:
- Programming Learners
- Data-Analytics Learners
- Junior IT Professionals
- Students entering AI and Data Science
What you'll gain
Successful completion of this OXQUAL programme can help learners to:
- Develop practical AI and analytics competence.
- Strengthen Python data-science skills.
- Improve machine-learning knowledge.
- Develop data-preprocessing competence.
- Improve model-evaluation capability.
- Build practical AI project experience.
How this qualification is assessed
The assessment pattern for this OXQUAL programme is outlined below.
- Assessment Type: Written examination, AI/data 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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