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public:training:homepage [2024/10/30 16:36] rmarin_odins.es [Gaia-X Governance Framework] |
public:training:homepage [2025/06/05 12:12] (current) rmarin_odins.es [DataSpaces - Videos] |
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{{tag> cursos coursera mooc training}} | {{tag> cursos coursera mooc training}} | ||
+ | ## Metodología con alumnos de prácticas. | ||
+ | |||
+ | En el documento excel compartido (spreadsheet), | ||
+ | |||
+ | Para comenzar las prácticas, hay una primera parte de formación en la tecnología interesada mediante cursos online, videos y documentación. | ||
+ | Para esta primera fase, revisar la siguiente página de la wiki donde hay enlaces a cursos y videos específicos para cada tecnología. Aunque podéis añadir más enlaces a la wiki. | ||
+ | public: | ||
+ | |||
+ | Por favor, enviar un email a cada alumno para explicar su prácticas y los enlaces iniciales que deben usar con cursos, videos, u otros recursos. | ||
+ | |||
+ | Luego la segunda fase, será sobre investigar y probar herramientas software de código abierto que tenéis que aportar los enlaces a los repositorios Github o similar que deben descargar y probar. | ||
+ | |||
+ | Recordar que usamos una metodología ágil para gestionar las prácticas con reuniones online bisemanales, | ||
+ | |||
+ | Además, ellos deben usar las herramientas compartidas para que vayan apuntando las horas en el excel compartido, la wiki para ir documentando y el gitlab como repositorio de código. Antes de cada reunión, hay que echarle un vistazo a la wiki y excel y gitlab para ver si han avanzado algo y si tiene coherencia con lo que comenten en la reunión. | ||
+ | https:// | ||
+ | https:// | ||
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## Gaia-X Governance Framework | ## Gaia-X Governance Framework | ||
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For further details please browse here. https:// | For further details please browse here. https:// | ||
https:// | https:// | ||
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+ | Gaia-X Lab Compliance Service. | ||
+ | |||
+ | Gaia-X Lab Registry. | ||
GXDCH (Gaia-X Digital Clearing House) – the one-stop place to go and get verified against the Gaia-X rules to obtain compliance in an automated way. | GXDCH (Gaia-X Digital Clearing House) – the one-stop place to go and get verified against the Gaia-X rules to obtain compliance in an automated way. | ||
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https:// | https:// | ||
https:// | https:// | ||
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+ | The Gaia-X Digital Clearing House (GXDGH) is the mechanism through which Gaia-X is operationalised in the market. | ||
+ | The Gaia-X Framework contains functional specifications, | ||
+ | |||
https:// | https:// | ||
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Gaia-X jsonld-http-client. | Gaia-X jsonld-http-client. | ||
Gaia-x Trusted List Serializer. | Gaia-x Trusted List Serializer. | ||
+ | ### DataSpaces - Videos | ||
+ | |||
+ | Te paso algunos videos sobre IDS DataSpace protocol and Eclipse DataSpace connector para la formación teórica de esta tecnología. | ||
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+ | https:// | ||
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+ | https:// | ||
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+ | https:// | ||
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+ | https:// | ||
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+ | https:// | ||
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+ | https:// | ||
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+ | https:// | ||
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### Eclipse GAIA-X and DataSpaces | ### Eclipse GAIA-X and DataSpaces | ||
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PQ-TLS-Test is a project dedicated to testing post-quantum TLS (PQ-TLS) in PQ-hybrid schemes on both general-purpose computer systems and embedded systems. The project aims to provide comprehensive insights into the performance of post-quantum cryptography (PQC) by evaluating various handshake modes, client scales, and network topologies. | PQ-TLS-Test is a project dedicated to testing post-quantum TLS (PQ-TLS) in PQ-hybrid schemes on both general-purpose computer systems and embedded systems. The project aims to provide comprehensive insights into the performance of post-quantum cryptography (PQC) by evaluating various handshake modes, client scales, and network topologies. | ||
- | https:// | + | https:// |
https:// | https:// | ||
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+ | https:// | ||
https:// | https:// | ||
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https:// | https:// | ||
- | - *Chapter 3: Successful proposal writing, by Sonia Martel (ICCRAM-UBU)*. | + | - *Chapter 3: Successful proposal writing, by Sonia Martel (ICCRAM-UBU)*. |
+ | https:// | ||
- Chapter 4: EU Project Management, by Laura Gómez (ICCRAM-UBU). | - Chapter 4: EU Project Management, by Laura Gómez (ICCRAM-UBU). | ||
https:// | https:// | ||
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- | **IoT Specializations** this is a group of courses. | + | Cursos gratuitos sobre introducción |
- | - https:// | + | 1. CurtinX: Introduction to the Internet |
+ | 2. Free Internet of Things (IoT) Tutorial | ||
- | IoT specialization courses: | ||
- | |||
- | 1. [Introduction to the Internet of Things and Embedded Systems](https:// | ||
- | 2. [The Arduino Platform and C Programming](https:// | ||
- | 3. [Interfacing with the Arduino](https:// | ||
- | 4. [The Raspberry Pi Platform and Python Programming for the Raspberry Pi](https:// | ||
- | 5. [Interfacing with the Raspberry Pi](https:// | ||
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https:// | https:// | ||
+ | ### ChatBot - LLM - NLP - procesamiento de lenguaje natural. | ||
+ | |||
+ | Te envío algunas propuestas de cursos y guías sobre procesamiento de lenguaje natural que creo que pueden ser interesantes. Como hablamos ayer, siempre puedes buscar otros por tu cuenta, sobre todo conforme vayas sumergiéndote en los desarrollos para entender mejor algunos conceptos o descubrir nuevas técnicas. | ||
+ | |||
+ | Estos dos son más genéricos, para una primera introducción: | ||
+ | https:// | ||
+ | https:// | ||
+ | |||
+ | Este de aquí se centra en las técnicas de zero-shot, few-shot y chain of thought: | ||
+ | https:// | ||
+ | |||
+ | Este es para que veas el funcionamiento de Hugging Face, aunque ya me dijiste que lo conocías: | ||
+ | https:// | ||
+ | |||
+ | Y este último es sobre algunas métricas de evaluación: | ||
+ | https:// | ||
### AI/ML para Python. | ### AI/ML para Python. | ||
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- Free Pandas Tutorial - Pandas with Python | Udemy. | - Free Pandas Tutorial - Pandas with Python | Udemy. | ||
+ | ### AI/ML for Plant Disease Prediction with CNN | ||
+ | |||
+ | Plant Disease Prediction with CNN | ||
+ | https:// | ||
+ | |||
+ | Plant Leaf Disease Detection Using CNN | Python | ||
+ | https:// | ||
+ | |||
+ | Plant Disease Detection Using Image Processing and Machine Learning | ||
+ | https:// | ||
+ | |||
+ | Building a Vision Transformer Model from Scratch with PyTorch | ||
+ | https:// | ||
+ | |||
+ | AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment | ||
+ | https:// | ||
+ | https:// | ||
+ | |||
+ | Intro to Deep Learning with PyTorch | ||
+ | https:// | ||
+ | |||
+ | Convolutional Neural Networks | ||
+ | https:// | ||
+ | |||
+ | Aprendizaje automático con Python | ||
+ | https:// | ||
+ | |||
+ | Basics of Microservices | ||
+ | https:// | ||
### Cursos sobre Python, Yolov8 y Redes Neuronales para procesamiento de imágenes de cámaras. | ### Cursos sobre Python, Yolov8 y Redes Neuronales para procesamiento de imágenes de cámaras. | ||
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- Free Docker Tutorial - Docker Essentials | Udemy - 3h https:// | - Free Docker Tutorial - Docker Essentials | Udemy - 3h https:// | ||
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- | - Docker for absolute beginners (coursera.org) https:// | ||
- | |||
- | - Containerization Using Docker (coursera.org) https:// | ||
- Introduction to Containers, Kubernetes and OpenShift | edX https:// | - Introduction to Containers, Kubernetes and OpenShift | edX https:// |