ICTQual AB Level 6 Diploma in Data and AI-AI Data Specialist
Elevate your expertise in the fast‑growing fields of data and artificial intelligence with the Level 6 Diploma in Data and AI – AI Data Specialist, offered by ICTQual AB. This comprehensive programme equips aspiring professionals with advanced mastery in data acquisition, analysis, preparation, and model implementation tailored for machine learning and AI applications.
Through a rigorous curriculum, learners gain practical skills in creating predictive models, deploying computer vision and natural language processing systems, and effectively evaluating real‑world performance. The course also emphasizes ethical considerations, empowering students to develop responsible AI solutions that uphold fairness, privacy, and transparency.
Ideal for individuals aiming to become proficient in modern AI pipelines, this Level 6 Diploma balances technical depth with hands‑on application—making it a powerful stepping stone toward roles as AI Data Specialists, Data Analysts, or Machine Learning Engineers. Whether you’re transitioning into AI from a related domain or looking to enhance your technical profile, this qualification by ICTQual AB lays a strong foundation for success in today’s AI‑driven industries.
Level 6 Diploma in Data and AI-AI Data Specialist
To enrol in ICTQual AB Level 6 Diploma in Data and AI-AI Data Specialist, learner must meet the following entry requirements:
This qualification, the ICTQual AB Level 6 Diploma in Data and AI-AI Data Specialist, consists of 6 mandatory units.
- Foundations of Data Science and Artificial Intelligence
- Advanced Data Acquisition, Cleaning, and Preprocessing
- Feature Engineering and Statistical Techniques for AI Applications
- Implementing Machine Learning Models
- Natural Language Processing and Computer Vision for Data Specialists
- AI Governance, Ethics, and Applied Capstone Project
Learning Outcomes for the Study Units:
1. Foundations of Data Science and Artificial Intelligence
- Understand core principles of data science and artificial intelligence.
- Distinguish between various AI disciplines and data science workflows.
- Analyze the role of data-driven decision-making in real-world applications.
- Evaluate key algorithms and models used across AI domains.
2. Advanced Data Acquisition, Cleaning, and Preprocessing
- Collect structured and unstructured data from diverse sources.
- Apply data cleaning techniques to resolve inconsistencies and handle missing values.
- Perform preprocessing methods such as normalization, encoding, and scaling.
- Utilize automation tools for efficient data pipeline development.
3. Feature Engineering and Statistical Techniques for AI Applications
- Identify and select relevant features to improve model accuracy.
- Apply dimensionality reduction and transformation techniques.
- Utilize statistical analysis to uncover patterns and inform model design.
- Develop and test hypothesis-based feature construction strategies.
4. Implementing Machine Learning Models
- Train and evaluate machine learning models using real-world datasets.
- Apply classification, regression, and clustering algorithms effectively.
- Optimize model performance through parameter tuning and validation.
- Interpret results and deploy models using appropriate AI tools and platforms.
5. Natural Language Processing and Computer Vision for Data Specialists
- Process textual data using NLP techniques such as tokenization and sentiment analysis.
- Implement computer vision methods for image recognition and object detection.
- Integrate pretrained models and APIs to solve language and visual tasks.
- Evaluate accuracy and effectiveness of NLP and CV systems in practical use cases.
6. AI Governance, Ethics, and Applied Capstone Project
- Analyze ethical issues related to bias, accountability, and AI transparency.
- Understand legal, social, and organizational frameworks guiding AI use.
- Design, develop, and present a capstone project addressing a real-world data problem.
- Demonstrate the integration of technical and ethical principles in AI solutions.
Graduates of the ICTQual AB Level 6 Diploma in Data and AI – AI Data Specialist are equipped with the advanced skills and practical knowledge required to pursue a wide range of academic and professional opportunities in the evolving world of data and artificial intelligence.
Academic Progression
- Progress to Level 7 Diplomas in Artificial Intelligence, Data Science, or Advanced Computing.
- Pursue specialist certifications in areas such as deep learning, natural language processing, or ethical AI.
Professional Progression
- Transition into high-demand roles such as:
- AI Data Specialist
- Data Analyst
- Machine Learning Engineer
- NLP Engineer
- Computer Vision Specialist
- AI Product Analyst
- Advance to leadership or consultancy positions within AI-driven enterprises.
- Launch entrepreneurial ventures focused on AI-powered data solutions.
Industry Relevance
This diploma ensures learners are prepared for the future of work, where AI, data analytics, and intelligent automation are transforming industries such as healthcare, finance, retail, manufacturing, and logistics. With these competencies, graduates can lead innovative projects and drive meaningful impact in both established and emerging sectors.
