Course overview
Blended learning programmes often fail because classroom sessions, virtual workshops, e-learning, manager support and performance tasks are designed as separate events rather than one curriculum. Learners repeat content, miss essential practice, or cannot apply learning at work. Learning teams also face practical constraints: limited release time, mixed digital confidence, mandatory content, dispersed audiences, accessibility needs and evidence requirements for programme investment.
This course equips participants to design a coherent blended curriculum from business need through evaluation. Participants define performance outcomes, analyse learners and work contexts, select appropriate learning modalities, sequence learning over time, and specify assessment evidence. The course applies ADDIE, backward design, Bloom's taxonomy, Gagné's Nine Events of Instruction, Kirkpatrick evaluation and xAPI-informed learning data. It addresses the design of classroom, virtual instructor-led, self-paced digital, social and workplace learning components, including manager-supported transfer.
Teaching combines short instructor briefings with analysis of realistic workforce learning cases, including regulatory training, leadership development, systems implementation and customer-service capability. Participants review sample curriculum architectures, critique learning assets, make modality decisions under operational constraints, and build elements of a blended curriculum during the week. Each participant leaves with a documented blended learning curriculum design pack: audience analysis, performance map, modality rationale, learning pathway, assessment plan, evaluation measures and implementation actions.
The course is suited to L&D professionals who already create or manage learning interventions and now need stronger curriculum-level design discipline. It is relevant to teams serving banks, government agencies, multinationals, NGOs and large corporate functions where learning must be scalable, auditable and demonstrably connected to job performance.


