Lakehouse Architectures for Data Engineers
Advanced | 8–12 hours
Build modern, scalable data platforms that combine a data lake and data warehouse into one. Hands-on with the best patterns and tools used today by leading organizations.
What you'll learn (hands-on + assessments):
- ✅ Medallion architecture (bronze/silver/gold) in practice
- ✅ Delta Lake, Apache Iceberg & Hudi – comparison & implementation
- ✅ Unity Catalog, catalog management and governance
- ✅ Real-time & batch processing on a single platform
- ✅ Performance tuning, schema evolution & time travel
- ✅ Migration strategies from classic warehouses/lakes
Perfect for data engineers and architects who refuse to build outdated platforms.
Outline (8–12 hours total):
- Intro to Lakehouse concept & benefits
- Medallion architecture in detail
- Delta Lake & Iceberg deep-dive
- Unity Catalog & governance
- Performance, security & best practices
- Real-world assessments & case studies
- Final review & next steps
Ready to future-proof your data platform? Start now with the Assessment Edition.
Semantic Ontologies & Metadata at Scale
Advanced | ~16–20 hours
Build AI-ready knowledge graphs and semantic layers that make your metadata scalable, validatable, and future-proof.
What you'll learn (hands-on):
- ✅ RDF, OWL & SPARQL – from basics to advanced queries
- ✅ Protégé + owlready2 for ontology design & Python integration
- ✅ SHACL for data validation & DCAT/OpenLineage metadata standards
- ✅ Semantic Governance: centralized vs federated models
- ✅ HybridRAG, Knowledge Mesh & semantic lineage in AI pipelines
- ✅ Enterprise-grade data contracts & ontologies
Perfect for data engineers, architects & AI specialists who want to tame complex metadata and make platforms AI-proof.
Outline (~16–20 hours total):
- Intro & RDF/OWL/SPARQL basics
- Metadata standards (OpenLineage, DCAT, SHACL)
- Ontology building & querying (Protégé, owlready2)
- Advanced governance & HybridRAG
- Semantic layers for AI pipelines & knowledge mesh
- Data contracts + SHACL in practice
- Final review & next steps
Ready to make your data semantic? Start now and unlock real-world applications.
Practical 3-hour training for L&D teams and corporate trainers.
Learn how to build quizzes that don’t just test knowledge — they actually drive learning, boost engagement, and deliver measurable results in employee training programs.
This hands-on workshop follows the latest industry standards (Haladyna guidelines + NBME templates) and takes full advantage of Moodle 5.1’s improved Question Bank and analytics.
What you will learn:
- Write clear learning objectives and create professional test blueprints using Bloom’s Taxonomy
- Craft flawless question stems and highly plausible distractors
- Use every Moodle 5.1 question type effectively (including advanced and eclectic formats)
- Configure instant feedback, gamification, badges, and adaptive quiz strategies
- Analyse quiz data and continuously improve your assessments for better ROI
Duration: 3 hours (6 × 30-minute modules)
Format: Live + hands-on in your own Moodle 5.1 environment
Target audience: Training managers, instructional designers, HR/L&D professionals, and Moodle administrators
By the end of this course you will be able to design, build, and optimise high-quality quizzes that make your employee training more effective and engaging — starting the very next day.
Self-enrolment is open — click “Enrol me” below to get started immediately.