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--- public:training:homepage [2024/10/30 16:34]
rmarin_odins.es [Libraries to generate and validate DID, sign Gaia-X credentials using JWS 2020, and a ETSI 119 612 serializer for Gaia-X's trusted anchors]
+++ public:training:homepage [2025/02/17 16:33] (current)
rmarin_odins.es [Docker y Kubernetes]
@@ Line 12: / Line 12: @@
 For further details please browse here.  https://docs.gaia-x.eu/framework/
 https://docs.gaia-x.eu/framework/?tab=software
+Gaia-X Lab Compliance Service.  https://gitlab.com/gaia-x/lab/compliance/gx-compliance/-/tree/v1.0.0?ref_type=tags
+Gaia-X Lab Registry.  https://gitlab.com/gaia-x/lab/compliance/gx-registry/-/tree/v1.0.0?ref_type=tags
 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.
@@ Line 17: / Line 21: @@
 https://gaia-x.eu/gxdch/
 https://docs.gaia-x.eu/framework/?tab=clearing-house
+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, technical requirements, and the software to use to become Gaia-X compliant and/or Gaia-X compatible. The GXDCH contains a subset of the software components in the Gaia-X Framework: the mandatory components and some of the optional ones.
 https://docs.gaia-x.eu/framework/?tab=software
 https://gitlab.com/gaia-x/lab/gxdch
 https://gitlab.com/gaia-x/lab
+https://gitlab.com/gaia-x/lab/compliance
+Gaia-X - 1 - Compliance Service.  Compliance service enforcing rules defined in the TrustFramework - Architecture Document/Compliance Document.
+Gaia-X - 2 - Registry.  Source of truth for the Compliance engine, validating certificate are conforming to rules, providing shapes, schemas and trusted sources.
+Gaia-X - 3 - Notary - registrationNumber.  Notarization API to get a Legal Registration Number used to get compliance
+Gaia-X - 4 - IPFS Pinning Service.  This project helps pushing and pining on IPFS the registry static files, shapes, context, ontology, revoked issuers and trusted clearing houses.
+Gaia-X - 5 - Trust Anchor Service.  Service building, signing and pushing on IPFS the Gaia-X AISBL trusted anchors list
 https://gitlab.com/gaia-x/lab/libraries
@@ Line 84: / Line 102: @@
 https://youtu.be/aYSPUf0Yoak?feature=shared
 - *Chapter 3: Successful proposal writing, by Sonia Martel (ICCRAM-UBU)*.
+https://www.youtube.com/watch?v=LBhAR5VM-us
 - Chapter 4: EU Project Management, by Laura Gómez (ICCRAM-UBU).
 https://youtu.be/LA7Zf74jKqE?feature=shared
@@ Line 138: / Line 157: @@
-**IoT Specializations** this is a group of courses.
+Cursos gratuitos sobre introducción a IoT en udemy o edx.org.
-- https://www.coursera.org/specializations/iot
+. CurtinX: Introduction to the Internet of Things (IoT) | edX.  https://www.edx.org/learn/iot-internet-of-things/curtin-university-introduction-to-the-internet-of-things-iot
+. Free Internet of Things (IoT) Tutorial - Introduction to Internet of Things and Cloud | Udemy.  https://www.udemy.com/course/a4iot-intro-iot-cloud/
-IoT specialization courses:
-. [Introduction to the Internet of Things and Embedded Systems](https://www.coursera.org/learn/iot?specialization=iot)
-. [The Arduino Platform and C Programming](https://www.coursera.org/learn/arduino-platform?specialization=iot)
-. [Interfacing with the Arduino](https://www.coursera.org/learn/interface-with-arduino?specialization=iot)
-. [The Raspberry Pi Platform and Python Programming for the Raspberry Pi](https://www.coursera.org/learn/raspberry-pi-platform?specialization=iot)
-. [Interfacing with the Raspberry Pi](https://www.coursera.org/learn/raspberry-pi-interface?specialization=iot)
@@ Line 214: / Line 227: @@
 https://playwright.dev/docs/test-configuration
+### 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://www.udemy.com/course/introduction-to-natural-language-processing-nlp-llm-ai-gate-moyyn/
+https://www.udemy.com/course/natural-language-processing-python-nlp/
+Este de aquí se centra en las técnicas de zero-shot, few-shot y chain of thought:
+https://developers.google.com/machine-learning/resources/prompt-eng?hl=es-419
+Este es para que veas el funcionamiento de Hugging Face, aunque ya me dijiste que lo conocías:
+https://www.coursera.org/projects/open-source-models-with-hugging-face?action=enroll
+Y este último es sobre algunas métricas de evaluación:
+https://unite.ai/es/evaluaci%C3%B3n-de-modelos-de-lenguaje-grandes-una-gu%C3%ADa-t%C3%A9cnica/
 ### AI/ML para Python.
@@ Line 298: / Line 327: @@
 - Free Docker Tutorial - Docker Essentials | Udemy  - 3h https://www.udemy.com/course/docker-essentials/
-- Docker for absolute beginners (coursera.org) https://es.coursera.org/projects/docker-for-absolute-beginners
-- Containerization Using Docker (coursera.org) https://es.coursera.org/projects/containerization-using-docker
 - Introduction to Containers, Kubernetes and OpenShift | edX https://www.edx.org/es/course/introduction-to-containers-kubernetes-and-openshift?index=spanish_product&queryID=39fcc25aa7d7026587d914ebf7cdfea8&position=3