Membro dal giorno 2022
Introduction to Large Language Models - Italiano
Earned mar 21, 2024 EDT
Introduction to Generative AI - Italiano
Earned mar 20, 2024 EDT
Implement CI/CD Pipelines on Google Cloud
Earned mar 16, 2024 EDT
Building Scalable Java Microservices with Spring Boot and Spring Cloud
Earned mar 3, 2024 EST
Questo è un corso di microlearning di livello introduttivo che esplora cosa sono i modelli linguistici di grandi dimensioni (LLM), i casi d'uso in cui possono essere utilizzati e come è possibile utilizzare l'ottimizzazione dei prompt per migliorare le prestazioni dei modelli LLM. Descrive inoltre gli strumenti Google per aiutarti a sviluppare le tue app Gen AI.
Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'AI generativa, come viene utilizzata e in che modo differisce dai tradizionali metodi di machine learning. Descrive inoltre gli strumenti Google che possono aiutarti a sviluppare le tue app Gen AI.
Earn the intermediate skill badge by completing the Implement CI/CD Pipelines on Google Cloud course where you will learn how to use Artifact Registry, Cloud Build, and Cloud Deploy. You will interact with the Cloud console, Google Cloud CLI, Cloud Run, and GKE. This course will teach you how to build continuous integration pipelines, store and secure artifacts, scan for vulnerabilities, attest to the validity of approved releases. Additionally, you'll get hands-on experience deploying applications to both GKE and Cloud Run. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an skillbadge hands-on environment. Complete this skill badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
¨Microservices" describes a software design pattern in which an application is a collection of loosely coupled services. These services are fine-grained, and can be individually maintained and scaled. The microservices architecture is ideal for the public cloud, with its focus on elastic scaling with on-demand resources. In this course, you will learn how to build Java applications using Spring Boot and Spring Cloud on Google Cloud. You'll use Spring Cloud Config to manage your application's configuration. You'll send and receive messages with Pub/Sub and Spring Integration. You'll also use Cloud SQL as a managed relational database for your Java applications, and learn how to migrate to Spanner, which is Google Cloud's globally-distributed strongly consistent database service. You'll also learn about tracing and debugging your Spring applications with Google Cloud Observability. To succeed in this course, you should be familiar with the Java programming language and building Java a…