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En este proyecto se aprenderá acerca del despliegue de modelos de IA en dispositivos IoT Edge con ONNX de manera práctica y aplicada.

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En este proyecto se aprenderá acerca del despliegue de modelos de IA en dispositivos IoT Edge con ONNX de manera práctica y aplicada.

Aprenderemos a desarrollar modelos de Machine Learning desde cero para después desplegarlos en ONNX. Finalmente, aprenderemos también a como cargar los modelos en ONNX para hacer predicciones.

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Syllabus

Visión general del proyecto
Este proyecto explica como entrenar un modelo de Machine learning y desplegarlo en formato ONNX, lo cual es necesario a la hora de realizar predicciones en dispositivos IoT

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Diseñado para estudiantes de la industria de IoT Edge, ya que proporciona habilidades prácticas en el despliegue de modelos de IA en dispositivos IoT Edge con ONNX
Apto para estudiantes interesados en desarrollar modelos de Machine Learning desde cero y desplegarlos en ONNX
Proporciona una base sólida para principiantes en el despliegue de modelos de IA en dispositivos IoT Edge

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Despliegue de modelos de IA en IoT Edge con ONNX with these activities:
Repasar conceptos básicos de aprendizaje automático
Refrescar los conceptos básicos de aprendizaje automático antes del curso te ayudará a comprender mejor los conceptos más avanzados que se cubrirán.
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  • Revisar los tipos de algoritmos de aprendizaje automático
  • Repasar las métricas comunes de evaluación de modelos
  • Recordar los procesos de entrenamiento y validación de modelos
Seguir tutoriales sobre ONNX
Seguir tutoriales sobre ONNX complementará tu comprensión sobre cómo entrenar e implementar modelos de aprendizaje automático en dispositivos IoT Edge.
Browse courses on ONNX
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  • Buscar tutoriales que cubran la conversión de modelos de TensorFlow o PyTorch a ONNX
  • Seguir los pasos para implementar modelos ONNX en dispositivos IoT Edge
Show all two activities

Career center

Learners who complete Despliegue de modelos de IA en IoT Edge con ONNX will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models that can be used to solve a variety of problems, including predicting customer behavior, detecting fraud, and diagnosing diseases. This course can help you build the skills you need to become a Machine Learning Engineer by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Data Scientist
Data Scientists use data to solve business problems. They collect, clean, and analyze data to identify trends and patterns that can be used to make better decisions. This course can help you build the skills you need to become a Data Scientist by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Software Engineer
Software Engineers design, develop, and maintain software systems. They work on a variety of projects, including developing new applications, maintaining existing systems, and integrating different systems together. This course can help you build the skills you need to become a Software Engineer by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Data Analyst
Data Analysts use data to identify trends and patterns that can be used to make better decisions. They work on a variety of projects, including analyzing customer data, market research data, and financial data. This course can help you build the skills you need to become a Data Analyst by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Business Analyst
Business Analysts use data to identify and solve business problems. They work on a variety of projects, including developing new products, improving existing processes, and reducing costs. This course can help you build the skills you need to become a Business Analyst by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to create products that meet the needs of customers. This course can help you build the skills you need to become a Product Manager by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns that promote products and services. They work with a variety of teams, including sales, product development, and customer service. This course can help you build the skills you need to become a Marketing Manager by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. They work with customers to identify their needs and develop sales strategies. This course can help you build the skills you need to become a Sales Manager by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products and services. They work with customers to identify and resolve problems and build relationships. This course can help you build the skills you need to become a Customer Success Manager by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Technical Writer
Technical Writers create documentation that explains how to use products and services. They work with engineers and other technical experts to gather information and write clear and concise documentation. This course can help you build the skills you need to become a Technical Writer by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Project Manager
Project Managers are responsible for planning and executing projects. They work with a variety of stakeholders, including clients, team members, and vendors. This course can help you build the skills you need to become a Project Manager by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing products and services to ensure that they meet quality standards. They work with engineers and other technical experts to identify and fix defects. This course may help you build the skills you need to become a Quality Assurance Analyst by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
IT Support Specialist
IT Support Specialists provide technical support to users of computers and other electronic devices. They work with users to troubleshoot problems and resolve issues. This course may help you build the skills you need to become an IT Support Specialist by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Help Desk Analyst
Help Desk Analysts provide technical support to users of computers and other electronic devices. They work with users to troubleshoot problems and resolve issues. This course may help you build the skills you need to become a Help Desk Analyst by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.
Computer Operator
Computer Operators control and monitor computer systems. They work with users to ensure that systems are running smoothly and that data is secure. This course may help you build the skills you need to become a Computer Operator by teaching you how to develop and deploy machine learning models in ONNX, which is a format that is optimized for running machine learning models on IoT devices.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Despliegue de modelos de IA en IoT Edge con ONNX.
Este libro proporciona una visión general completa de la inteligencia artificial, cubriendo una amplia gama de temas. Es un recurso invaluable para aquellos que buscan una comprensión integral del campo.
Este libro proporciona una visión completa del aprendizaje profundo, cubriendo tanto los fundamentos teóricos como las aplicaciones prácticas. Es un recurso invaluable para aquellos que buscan una comprensión profunda del campo.
Este libro tiene un enfoque práctico para el Deep Learning, utilizando la biblioteca fastai y PyTorch. Proporciona una curva de aprendizaje rápida para los desarrolladores que buscan construir y desplegar modelos de IA sin una formación extensa en el campo.
Este libro proporciona una base sólida en Python para el análisis de datos. Abarca técnicas de manipulación, limpieza y visualización de datos, que son esenciales para preparar datos para modelos de Machine Learning.
Este libro ofrece una guía práctica para implementar modelos de aprendizaje automático en dispositivos IoT Edge con recursos limitados. Cubre los fundamentos de TinyML y proporciona ejemplos prácticos.
Este libro ofrece una introducción completa a TinyML y su aplicación en microcontroladores embebidos. Proporciona algoritmos, técnicas de optimización y estudios de casos.

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