Cursussen
399 Cursussen
Reasoning Under Uncertainty
Explore foundational AI concepts including probability, Bayesian Networks, Hidden Markov Models, and Markov Decision Processes to master reasoning and decision-making under uncertainty.
Intelligent Features & Architecture in iOS Development
Explore advanced iOS development by integrating Apple ML, Siri via App Intents, Swift testing techniques, and scalable app architectures to build intelligent, high-performing applications.
Productivity & Automation
Master automation, AI, and scripting in Confluence to boost workflow efficiency, track tasks, build templates, integrate AI insights, and design end-to-end automation pipelines.
Deep Learning in Electronic Health Records
Explore deep learning principles and architectures applied to Electronic Health Records, covering CNNs, RNNs, imputation techniques, and EHR encodings using MIMIC-III data for clinical prediction.
Clinical Decision Support Systems
Explore key concepts in Clinical Decision Support Systems, including ML evaluation, fairness assessment, decision curve analysis, explainability, and privacy concerns in deep learning models.
Capstone Assignment
Apply explainable AI techniques—LIME, Grad-CAM, and permutation importance—on real MIMIC-III clinical data to build transparent, trustworthy deep learning models for healthcare decision support.
Visualizing Products and Assets with SAP Integrated Product Development
Explore SAP Integrated Product Development Visualization to transform product and asset data into interactive 2D/3D experiences, covering uploads, editing, animations, AI hotspots, and automation scripts.
AI System Impact Assessment Guidance
Gain insights into conducting AI system impact assessments, covering governance principles, risk management, and ISO/IEC 42001 compliance to ensure ethical and responsible AI adoption.
AI Management Essentials: Integrating ISO 42001 & ISO 23894
Master responsible AI management using ISO/IEC 42001 & ISO/IEC 23894 frameworks, covering risk assessment, governance, ethics, and practical tools for sustainable AI adoption in organizations.
Explainable Deep Learning Models for Healthcare
Explore explainability methods like LIME, SHAP, and CAM for deep learning in healthcare, covering interpretability, axiomatic attributions, and attention mechanisms for time-series classification.
Modern Applications of Generative AI
Explore how generative AI behavior is shaped through prompting, RLHF, reasoning scaffolds, and tool use, and apply these insights across real-world domains with ethical awareness.
Deploy and operate Microsoft Security Copilot
Explore Microsoft Security Copilot deployment, workspace configuration, and agent management, gaining skills to optimize capacity, data residency, roles, plugins, and multi-team security operations.