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Inicio 4 June 2026 12:51
Fin 4 June 2026
Enseñanza de IA en el Borde
Arm Education
2868 Cursos
1 hour 1 minute
Actualización opcional disponible
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Free Online Course (Audit)
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Resumen
Mobile and edge devices are already able to deploy large language models (LLMs) in artificial intelligence (AI) applications that will have a transformational impact on society. How can academia prepare the next generation of engineers to leverage the opportunities and address the challenges presented by AI on the Edge?
In this course, Dr. Catherine Breslin, an AI consultant from Cambridge UK and co-founder of Kingfisher Labs, discusses key considerations when teaching AI in higher education.
Teaching AI on the Edge is designed to equip educators and learners with the knowledge and skills to successfully implement artificial intelligence in resource-constrained environments. This course blends essential theoretical foundations with practical project-based experiences, preparing you to understand, build, and effectively teach AI systems optimized for edge devices.
You'll explore the evolution from specialized task-specific AI models to versatile multimodal foundation models, learning critical techniques such as pruning, quantization, and small-model design that allow advanced AI capabilities to operate efficiently on limited hardware. The course emphasizes iterative development practices, rigorous model evaluation, and responsible AI deployment, highlighting data privacy, model bias, and regulatory considerations.
Throughout this course, you'll gain insights into practical teaching strategies that balance theory and hands-on activities, encouraging creative, inclusive, and collaborative approaches to AI education. You'll also discover how to leverage open-source tools and frameworks to accelerate learning and inspire students to tackle real-world problems through innovative edge AI solutions.
Join us to deepen your understanding of AI's potential, master effective teaching practices, and inspire the next generation of AI innovators to positively impact society.
Programa
- Enseñando IA en el Borde
- Formas de Enseñar IA en el Borde
- Consideraciones Técnicas al Enseñar IA en el Borde
- Considerando el Dominio y las Aplicaciones al Enseñar IA en el Borde
- Enseñando el Impacto Social y la Ética de la IA
- Material de Cierre
Impartido por
Arm Education
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