Training Catalogue
Audience |
Organization |
Course Title |
Dates |
| Scientist Training | BSC | Parallel Programming Workshop | 20-24/10/2025 |
| Trustworthy AI Act & Compliance | TUBITAK | Understanding the AI Act and Its Approach to AI Governance | 25/11/2025 |
| Scientist Training | BSC | Advanced Research Data Management | 25-16/11/2025 |
| Non-Technical Training | ICI | AI’s impact on healthcare – practical session | 3/12/2025 |
| Scientist Training | BSC | Introduction to AI for researchers Part I | 9-11/12/2025 |
| Scientist Training | BSC | Introduction to AI for researchers Part II | 13-14/01/2026 |
| Scientist Training | BSC | Generative and Self-Supervised ML | 19-23/01/2026 |
| Scientist Training | BSC | Evaluation of AI algorithms for biomedical research and sex and gender biases in AI | 26-30/01/2026 |
| Technical Training | FPC | Ethics and Fairness in AI Projects | 2/2/2026 |
| Scientist Training | BSC | Reinforcement Learning | 2-6/02/2026 |
| Technical Training | FPC | Applied Prompt Engineering for Professional Practice | 2/3/2026 |
| Scientist Training | BSC | Industrial CFD | 2-6/03/2026 |
| Scientist Training | BSC | Advanced Heterogeneous Programming on GPUs with MPI & OmpSs | 16-17/03/2026 |
| Scientist Training | BSC | Application of AI to the Life Sciences domain | 16-20/03/2026 |
| Scientist Training | BSC | Fundamentals of Deep Learning | 13-15/04/2026 |
| Scientist Training | BSC | Deep Learning performance analysis and use of libraries | 20-22/04/2026 |
| Scientist Training | BSC | Research Data Management for beginners | 27-29/04/2026 |
| Scientist Training | BSC | Building and Deploying LLMs (Large Language Models) | 11-15/05/2026 |
| Scientist Training | BSC | Introduction to Large Language Models; workplace applications and ethical challenges | 18-22/05/2026 |
| Scientist Training | BSC | AI for Earth sciences: including tools and libraries for model development, data processing, and experiment tracking. | 25-28/05/2026 |
| Scientist Training | BSC | Agents: from theoretical foundations to deployment and MLOps | 1-5/06/2026 |
| Scientist Training | BSC | AI for Social Sciences and Humanities | 10-12/06/2026 |
| Senior Management training | ICI | Strategic AI adoption: driving intelligent transformation & business impact | TBC |
| Senior Management training | ICI | Improving AI in business: an executive guide to smarter solutions & better outcomes | TBC |
| Technical Training | ICI | Experiment tracking for Computer Vision | TBC |
| Technical Training | ICI | NLP: text classification, entity recognition,summarization, LLMs | TBC |
| Technical Training | CNCA | Literacy in AI Translation for Healthcare Settings | TBC |
| Technical Training | FPC | Core Tools for AI Programming | TBC |
| Technical Training | FPC | Visualization Tools (Tableau, Power BI, Grafana) / Basic Metrics and Mathematics | TBC |
| Technical Training | FPC | Essential Machine Learning for Data-Driven Decisions | TBC |
| Technical Training | FPC | HPC Management | TBC |
| Technical Training | FPC | Simple Deep Learning Structures (Autoencoders, GANs) | TBC |
| Technical Training | FPC | Deep Learning (CNNs) and Vision | TBC |
| Technical Training | FPC | Deep Learning Structures: Diffusion Models, Deep Reinforcement Learning (DeepRL), Normalizing Flows (NF) | TBC |
| Technical Training | FPC | Time Series: LSTM, RNN, AutoEncoders | TBC |
| Technical Training | FPC | Transformers (Attention, LLMs, agents) | TBC |
| Non-Technical Training | ICI | Transforming ideas into action: a step-by-step course for building successful AI projects | TBC |
| Non-Technical Training | ICI | Applied AI in Healthcare | TBC |
| Non-Technical Training | CNCA | Generative Artificial Intelligence | TBC |
| Non-Technical Training | CNCA | Introduction to Artificial Intelligence | TBC |
| Non-Technical Training | CNCA | Ethics in the Digital Age | TBC |
| Student focused initiatives | UPC | Programming Basic Tools Python, R | TBC |
| Student focused initiatives | UPC | AI Gen / Prompt Basic Midjourney, Llama | TBC |
| Student focused initiatives | UPC | Maths / Visualization Basic Tools Tableau, PowerBI | TBC |
| Student focused initiatives | UPC | Shallow Learning Clustering, MLP, DT, PCA | TBC |
| Student focused initiatives | UPC | Deep Learning: Basic, Computer Vision | TBC |
| Student focused initiatives | UPC | DL Easy Structures, AutoEncoders, GANs | TBC |
| Student focused initiatives | UPC | Transformers – Attention, LLMs, Agents | TBC |
| Student focused initiatives | UPC | Time Series – LSTM, Reinforcement Learning | TBC |
| Student focused initiatives | UPC | DL Advanced – Diff Models, DeepRL, Neural Flow | TBC |
| Student focused initiatives | UPC | Ethics & Social Impact (ELSEC) & HPC management | TBC |
| Student focused initiatives | ICI | Getting started with AI: foundations for students | TBC |
| Student focused initiatives | ICI | Advanced AI algorithms: concepts, methods & applications | TBC |
| Scientist Training | BSC | Generative AI for creativity: theoretical basis of machine learning, from linear regression to GenAI in creative processes | TBC |
| Scientist Training | BSC | Multidisciplinary Analysis and Optimisation (MDAO) | TBC |
| Scientist Training | ICI | Intelligent research methods: using AI to analyze, predict & discover data | TBC |
| Scientist Training | ICI | Research infrastructure landscape: what scientists can access today | TBC |
| Scientist Training | ICI | Innovation Pathways: Technology Transfer for Competitive Advantage | TBC |
| Trustworthy AI Act & Compliance | TUBITAK | Introduction to AI Ethics | TBC |
| Trustworthy AI Act & Compliance | TUBITAK | Introduction to the EU AI Act | TBC |
| Trustworthy AI Act & Compliance | TUBITAK | Prohibited AI Practices under the AI Act | TBC |
| Trustworthy AI Act & Compliance | TUBITAK | AI Act Scope and Risk Assessment | TBC |
| Trustworthy AI Act & Compliance | TUBITAK | Demontstrating Compliance with the AI Act and Practical Aspects | TBC |
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