Back to Case Studies
Case Study
Digital Africa
GIZ Make-IT in Africa

Training 400+ Engineers Through Project-Based Delivery in Senegal

Digital Africa and GIZ selected Edacy to train over 400 engineers in Senegal across three cohorts over three years as part of the Talent 4 Startups program, proving that engineers learn best when they build production products for partner companies.

400+ EngineersSenegalTalent 4 Startups4 Specialized Tracks10 Company Projects

At a Glance

Engineers who learn by building

Digital Africa and GIZ selected Edacy to train over 400 engineers in Senegal across three cohorts over three years as part of the Talent 4 Startups program. Across four tracks (fullstack engineering with AI, software architecture, product design, and head of product), engineers learned by building. Ten companies partnered with Edacy to have full AI-powered solutions developed during 12-week engagements.

400+

Engineers trained across 3 cohorts

4 Tracks

Fullstack, Architecture, Design, Product

10 Companies

AI-powered solutions delivered

3 Years

Three cohorts, proven at scale

The Context

A digital skills gap that demands a new approach

Africa's digital economy is growing fast, but the talent pipeline is not keeping pace. More than 70% of African companies report they cannot find the technical skills they need locally. The digital skills gap on the continent is projected to reach 230 million jobs by 2030.

Digital Africa, a subsidiary of Proparco within the AFD Group, was created to address exactly this challenge. Its mission is to give African tech entrepreneurs and enterprises the means to build and scale. Talent 4 Startups, developed in partnership with GIZ's Make-IT in Africa initiative on behalf of Germany's Federal Ministry for Economic Cooperation and Development (BMZ), is a flagship program designed to close the gap between the skills the market demands and the talent available.

Why Edacy Was Selected

Deliver at scale: 400+ engineers across multiple cohorts

Produce engineers with immediately usable skills

Prove that learning works best when tied to the work itself

Established presence and credibility in Senegal

The Challenge

Training that produces performance, not certificates

Traditional training models were not producing the outcomes the ecosystem needed. Engineers were completing courses but struggling to perform in production environments.

Scale

400+ engineers across 3 cohorts over 3 years. The program needed a training partner that could operate at this scale without compromising quality or outcomes.

Production relevance

Production projects for partner companies. The gap was not knowledge. It was the ability to apply that knowledge under production conditions, on production codebases, with actual deadlines.

Employable outcomes

Measured by ability to perform, not certificates. The program needed to produce engineers who could step into production roles and deliver from day one.

How Edacy Delivered

Four tracks. One cross-functional model

Engineers learned by building AI-powered solutions for partner companies across structured 12-week engagements.

01

Fullstack Engineering with AI

Building production applications integrating AI capabilities

Focus Areas

End-to-end application development
AI/ML integration into production systems
Modern frontend and backend frameworks
API design and deployment

How It Worked

Engineers built production applications from scratch, integrating AI capabilities into products for partner companies. A dedicated Edacy technical coach reviewed code with detailed, instructive feedback, building understanding through hands-on delivery, not lectures.

02

Software Architecture

Designing and implementing system architectures for production products

Focus Areas

System design and architecture patterns
Scalability and performance optimization
Technical decision-making frameworks
Production-grade infrastructure design

How It Worked

Participants designed and implemented system architectures for production products, making technical decisions with real-world constraints. Edacy technical coaches guided architecture reviews and provided structured feedback on design trade-offs and implementation choices.

03

Product Design

Embedded within engineering teams, shipping production interfaces

Focus Areas

User research and interface design
Cross-functional collaboration with engineers
Design systems and component libraries
Shipping production-ready interfaces

How It Worked

Designers worked embedded within engineering teams, shipping production interfaces for partner companies. They operated as part of cross-functional squads, learning to design within the constraints of product delivery cycles and engineering workflows.

04

Head of Product

Scoping, prioritizing, and driving delivery alongside engineering teams

Focus Areas

Product scoping and prioritization
Stakeholder management and communication
Delivery leadership with engineering teams
Product strategy and roadmap execution

How It Worked

Product leaders learned to scope, prioritize, and drive delivery alongside engineering teams. They managed product backlogs for partner companies, making trade-off decisions with actual stakeholders and actual deadlines.

10 Companies. AI-Powered Solutions.

Ten companies partnered with Edacy to have full AI-powered solutions developed during each 12-week engagement. Teams were matched to companies and built production systems over structured sprint cycles. Edacy instructors and technical reviewers guided teams throughout the build process. Each cohort culminated in a Demo Day in Dakar, where teams presented their completed projects to industry leaders, investors, and recruiters.

The Outcomes

Proven at scale. Three times.

400+ engineers trained across three cohorts

Over three years and three cohorts, Edacy trained more than 400 engineers in Senegal, delivering consistent quality and outcomes at a scale that proved the model works.

10 AI-powered solutions delivered to partner companies

Each cohort produced AI-powered products for partner companies through structured 12-week engagements. Teams shipped working systems, not prototypes.

65% placement rate into tech companies

The majority of graduates moved into roles at tech companies, a direct result of training that was built around production delivery, not theory.

Four tracks, one cross-functional model

Fullstack engineers, architects, designers, and product leaders worked together in cross-functional teams, mirroring how product organizations operate.

A model that proved itself three times

Three cohorts over three years demonstrated that the approach scales reliably. Each iteration refined the model while maintaining the outcomes.

Ecosystem impact

The program raised the technical baseline of the local tech ecosystem in Senegal, producing engineers, designers, and product leaders who went on to strengthen the companies they joined.

“We needed a training partner that could deliver results at scale. Not just instruction, but engineers who could build. Edacy's project-based approach produced exactly that.”

Talent 4 Startups Program Leadership

Engagement Summary

ProgramTalent 4 Startups
PartnersDigital Africa & GIZ
Training PartnerEdacy
Engineers400+
RegionSenegal
MethodProject-based delivery
Tracks4: Fullstack with AI, Software Architecture, Product Design, Head of Product
Company Projects10 AI-powered solutions
Duration12-week engagements, 3 cohorts over 3 years
ValidationDemo Day

Ready to build engineering talent at scale?

Let's discuss how Edacy can help you train engineers through project-based delivery, producing talent that can build from day one.