Digital Transformation & Artificial Intelligence
50 training courses
- Adversarial Testing and Prompt Injection Defences for LLM Applications
- AI Incident Reporting and Post-Incident Review for Deployed Models
- AI Literacy for Managers Who Commission and Oversee AI Systems
- AI Oversight Responsibilities for Boards and Non-Executive Directors
- AI-Based Leak Detection and Smart Network Management for Water Utilities
- Ambient AI Scribes and Clinical Documentation Automation
- Building and Prioritising an Enterprise AI Use Case Portfolio
- Capturing Expert Knowledge with Generative AI Before Key Staff Leave
- Causal Inference and Uplift Modelling for Evaluating Business Interventions
- Choosing Between Open-Weight and Proprietary Language Models for Enterprise Use
- Composable Enterprise Architecture with Packaged Business Capabilities
- Connecting AI Agents to Business Systems with the Model Context Protocol
- Content Provenance Standards, Watermarking and Deepfake Detection
- Copyright and Licensing Risks in Generative AI Datasets and Outputs
- Data Contracts and Observability for Trustworthy Data Pipelines
- Data Labelling and Annotation Operations for Supervised Learning
- Data Mesh and Domain Ownership of Data Products
- Defining the Chief Data and AI Officer Mandate and Team Structure
- Designing Digital Public Services Around Citizen Life Events
- Digital Accessibility Compliance with WCAG 2.2 and the European Accessibility Act
- Digital Product Passports and Traceability Data for the Circular Economy
- Due Diligence and Contract Terms When Procuring Third-Party AI Tools
- EU AI Act Risk Classification and Obligations for Providers and Deployers
- Generating and Validating Synthetic Data for Machine Learning Models
- Generative AI Policy, Assessment Design and Academic Integrity in Universities
- Geospatial AI and Satellite Imagery Analysis for Monitoring and Planning
- Governing Algorithmic Management and AI-Driven Employee Monitoring
- Grounding, Citation and Hallucination Control in LLM Applications
- Implementing an AI Management System Based on ISO/IEC 42001
- Intelligent Document Processing with Multimodal Language Models
- Knowledge Graphs and Ontologies for Enterprise AI Applications
- Lakehouse Architecture for Unified Analytics and Machine Learning
- Managing Shadow AI and Unsanctioned Use of Generative AI Tools
- Measuring and Reducing the Energy and Carbon Footprint of AI Workloads
- Model Cards, Datasheets and Technical Documentation for AI Systems
- Online Controlled Experiments and A/B Testing for Digital Services
- Permissions, Audit Trails and Human Oversight for Autonomous AI Agents
- Port Community Systems and Digital Transformation of Maritime Terminals
- Prescriptive Analytics with Optimisation Solvers for Scheduling and Allocation
- Privacy-Enhancing Technologies for Cross-Organisation Data Collaboration
- Process Mining and Task Mining for Identifying Automation Opportunities
- Product Management for AI-Powered Features and Services
- Redesigning Roles and Workflows Around Generative AI Assistants
- Reducing LLM Inference Costs with Model Routing, Caching and Quantisation
- Risk-Based Audit Case Selection with Machine Learning in Tax Authorities
- Scaling AI Pilots from Proof of Concept to Enterprise Production
- Sovereign AI and Data Residency Strategies for Regulated Workloads
- Speech Analytics and Real-Time Agent Assist in Contact Centres
- Text-to-SQL and Natural Language Querying of Enterprise Databases
- Using Generative AI to Analyse, Document and Migrate Legacy Code
No matching results