Overview
Technical AI Trainings are rigorous, research-led upskilling programs tailored for tech teams and organizations aiming to advance their internal AI capabilities.
Building AI Capability
Delivered by our research scientists, sessions go beyond surface-level adoption and enable engineers, data scientists, and technical leads to deepen their command of state-of-the-art algorithms, frameworks, and research-backed methodologies.
For organizations wanting to stay ahead of the curve, NAAMII’s Technical AI Training serves as a strategic investment, positioning teams to lead innovation, reduce external dependency, and embed AI competence at the core of their operations.
Our Past Programs
1. Leapfrog
Leapfrog is a global technology company specializing in end-to-end product engineering, AI/ML solutions, and data-driven software platforms. With a client base spanning Fortune 500s and high-growth startups, Leapfrog has established itself as a leader in building scalable digital products, delivering high-impact SaaS, AI & data, DevOps & cloud infrastructure, and healthcare solutions globally. Leapfrog partnered with NAAMII to deepen its internal AI capabilities in 2019.
Led directly by NAAMII’s research scientists, the program focused on equipping engineers with a deep understanding of core and emerging AI methodologies, from state-of-the-art deep learning architectures to foundation models and real-world deployment workflows. Sessions were structured to move beyond surface-level tutorials, creating a pipeline of engineers capable of solving complex, production-grade AI problems.
2. Fusemachines
Fusemachines is a global AI company committed to democratizing access to AI through enterprise solutions, education, and talent development. With headquarters in New York and engineering teams across the Global South, Fusemachines has played a pivotal role in bridging the AI skills gap in emerging markets.
In partnership with NAAMII, Fusemachines engaged in a technical collaboration aimed at sharpening the research understanding and problem-solving capabilities of its AI engineering workforce. NAAMII’s research mentors led focused sessions on advanced machine learning topics, and frontier techniques in model robustness and deployment.