Accenture Song Mexico recognized a gap: its junior and mid-level design talent needed a structured path to grow — not through ad hoc training, but through a deliberate, coach-led curriculum built by the senior designers who know the work best.
Digital Makers was designed as that path. A 3-level program (with an additional split level) that takes designers from the absolute basics of UI — color, type, grids — through component systems, advanced prototyping, AI integration, and finally to the leadership and handoff skills that make a designer valuable to any product team.
The program is not an external training buy — it's built in-house, by practitioners, for practitioners. Every session is designed to be directly applicable to real project work. And the curriculum is structured so that each level builds on the previous one, culminating in a formal evaluation before a committee.
Each level builds on the last. The curriculum was designed so that no session exists in isolation — every topic connects forward and backward across the program.
The foundation layer. Before designers can build components, they need to understand the raw material — why color combinations work, how typography creates hierarchy at scale, how grids create spatial consistency across breakpoints.
Where raw craft becomes scalable system thinking. Participants build real components — not just visually, but with proper states, tokens, and responsiveness — and learn how to version and maintain a design system over time.
The level where design craft meets emerging practice. Participants go beyond static components into high-fidelity interactive prototypes, learn WCAG accessibility as a non-negotiable skill, and are introduced to AI as a genuine design accelerator — not a shortcut.
The capstone level. Design decisions only create value if they can be communicated, defended, and handed off properly. Level 3 equips designers with the skills to present work to executives, write documentation that developers can actually use, and ship with confidence.
Levels 2.2 and 3 carry a continuous thread: treating AI tools not as novelty features, but as methodology. Designers learn when to use generative AI, how to direct it, and how to evaluate its output — skills that change how a team approaches its entire toolkit.
This thread runs through three distinct practices, each with its own curriculum, exercises, and evaluation criteria.