Level 6 Diploma in Applied Artificial Intelligence
The Level 6 Diploma in Applied Artificial Intelligence offered by OXQUAL develops advanced competence in enterprise AI applications, deep learning, NLP, computer vision, cloud-based AI, responsible AI, cybersecurity and AI project leadership.
About this qualification
The Level 6 Diploma in Applied Artificial Intelligence offered by OXQUAL develops advanced competence in enterprise AI applications, deep learning, NLP, computer vision, cloud-based AI, responsible AI, cybersecurity and AI project leadership.
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:
- Applied Artificial Intelligence
- Enterprise AI Systems
- Advanced Machine Learning
- Deep Learning
- Convolutional Neural Networks
- Recurrent Neural Networks
- GAN Awareness
- Reinforcement Learning
- Natural Language Processing
- Language Models
- Conversational AI
- Chatbot Development
- Computer Vision
- Object Detection
- Image Analytics
- Big-Data Systems
- Cloud AI Platforms
- Distributed Computing
- Data Pipelines
- Responsible AI
- Bias Awareness
- Fairness and Transparency
- AI Governance
- AI Cybersecurity
- Adversarial-Risk Awareness
- Agile AI Project Management
- AI Deployment Awareness
- Applied AI Capstone Project
Who it's designed for
This OXQUAL programme is suitable for:
- AI and Machine-Learning Professionals
- Data Scientists
- Software Engineers developing AI systems
- IT Professionals progressing into enterprise AI roles
What you'll gain
Successful completion of this OXQUAL programme can help learners to:
- Develop enterprise AI competence.
- Strengthen advanced ML and deep-learning skills.
- Improve NLP and computer-vision knowledge.
- Develop responsible-AI awareness.
- Improve cloud-AI and cybersecurity competence.
- Strengthen AI project leadership.
How this qualification is assessed
The assessment pattern for this OXQUAL programme is outlined below.
- Assessment Type: Written examination, applied AI project and viva.
- Format: Multiple-choice questions, applied coding tasks, project submission and oral defence.
- Total Questions: 100 theory questions plus 1 capstone project and 1 viva.
- Passing Score: 70%.
- Duration: 10–12 weeks (180–200 hours total).
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