One in four Canadians is foreign-born, and 78% of new Canadians belong to a visible minority. Ethnically diverse communities in Canada face disparities in vaccination uptake. Our team conducted a scoping review of resources available to support person-provider vaccine communication during pregnancy and revealed that only 2% of resources addressed ethnically diverse populations. Using an implementation science approach informed by behavioural sciences, we co-designed a more inclusive intervention to improve vaccine conversations between pregnant persons and their healthcare through a co-designed, multimodal, skill-based course for healthcare providers and a public-facing digital hub. Collaborating with patient and community partners from diverse newcomer communities, equity, diversity, and inclusion (EDI) consultants and adult learning specialists, the intervention content, language choices and mode of delivery were iteratively and rigorously developed employing an EDI lens. Co-design included working with 1) a diverse person council, 2) an expert panel of healthcare providers (doctors, midwives, doulas, nurses and pharmacists), 3) data from interviews and focus groups with pregnant persons and healthcare providers, 4) heuristics/functionality testing and 5) usability testing with diverse populations. We prioritized EDI principles along with the co-design of our educational intervention to ensure culturally safe care and communication, especially for newcomers and the broader ethnically diverse community in Canada. The intervention is person-centred and employs a combination of videos, text, and graphics designed to cater to different learning styles while ensuring that complex scientific information is accessible. Images were carefully selected to reflect our diverse patient population. Using EDI principles to develop interventions is a much-needed approach to healthcare intervention design in Canada. This initiative presents a model for developing person-centred healthcare resources that resonate with Canada's diverse population.