This paper presents the design, deployment, and evaluation of a two-day hybrid workshop aimed at scaling inclusive access to generative AI education in under-served contexts. Hosted in Nigeria and delivered through a partnership between institutions in Africa and North America, the DSAI Workshop integrated hands- on training in prompt engineering and big data analysis with panel discussions on AI ethics and policy. Leveraging a feedback analytics framework, we analyzed both structured and open-ended participant responses to evaluate learning outcomes, engagement patterns, and program impact. Our findings show that 90% of participants rated the experience highly beneficial, with strong gains in technical skill development, regulatory awareness, and networking. A word cloud and thematic coding of qualitative feedback corroborated these outcomes. The participant cohort—primarily beginners and intermediates—benefited from scaffolded instruction, hybrid access, and local relevance. We contribute a replicable, feedback-driven model for inclusive AI capacity building and offer policy recommendations for educational equity in the era of large language models. The results suggest that short-format, data-informed interventions can serve as effective entry points for broader AI literacy efforts across the Global South.