BUILDING THE GLOBAL AI-NATIVE WORKFORCE
EverydayMoney
Bukuru DYC
Code First Girls
BUILDING THE GLOBAL AI-NATIVE WORKFORCE
EverydayMoney
Bukuru DYC
Code First Girls
Build essential digital skills and AI literacy. Understand the fundamentals of artificial intelligence, algorithmic thinking, and how to approach complex problems systematically.
Move from theory to practice by building custom Agentic AI tools. Work in Solution Pods to develop real-world applications that solve actual business challenges.
Master advanced data analysis and AI optimization. Become a specialist in leveraging data insights to improve agent performance and make strategic decisions.
We break down complex AI concepts into manageable, digestible components. Our curriculum teaches participants to think analytically by decomposing real-world problems into their fundamental parts.
This approach helps teams understand how to structure problems before jumping into solutions, building a strong foundation for agentic AI development.
Teams work in collaborative Solution Pods—small, focused groups that tackle real-world challenges through applied Capstone projects.
Each pod progresses through structured learning modules while working on actual AI implementation projects, ensuring practical skill development and immediate real-world application.
GLOBAL STANDARDS
Led by Emmanuel Akita, Lead AI/ML Instructor for the Code First Girls (UK) Masters Program. We don't just teach tools; we bring world-class engineering and learning experience design to complex technical problem-solving.
We are currently wrapping up our Spring Cohort, guiding professionals across multiple sectors to build custom Agentic AI tools and data pipelines.
Scholars
Completion Goal
Active Solution Pods
Book a consultation to identify your workforce gaps and high-impact automation opportunities.
We tailor a curriculum that targets your specific industry pain points and business goals.
Your team doesn't just learn; they build active AI Agents to solve real problems during the training.
