Introducción a Semantic Kernel con C#
Requirements
- Se recomienda tener familiaridad con C#.
Description
Este curso ofrece una introducción práctica a Semantic Kernel, un marco de desarrollo diseñado para integrar modelos de lenguaje (LLMs) en aplicaciones inteligentes. A lo largo del curso, los participantes aprenderán a crear plugins personalizados y estarán capacitados para desarrollar soluciones impulsadas por IA que respondan dinámicamente a diversas necesidades empresariales y tecnológicas.
Combinamos teoría y práctica con ejemplos reales y ejercicios interactivos para que los participantes puedan aplicar lo aprendido desde el primer día.
Lo que aprenderás
Fundamentos de Semantic Kernel y su arquitectura.
Creación de plugins para agentes inteligentes.
Uso de prompts estructurados para mejorar la interacción con modelos de lenguaje.
Implementación de funciones nativas y personalizadas dentro del kernel.
Desarrollo de proyectos prácticos con integración de IA.
¿Para quién es este curso?
Desarrolladores de software interesados en IA.
Estudiantes e investigadores en tecnologías de inteligencia artificial.
Requisitos Técnicos
Para aprovechar al máximo este curso, es recomendable contar con:
Entorno de desarrollo (Visual Studio, VS Code o JetBrains Rider).
.NET SDK
Acceso a una API de modelos de lenguaje (OpenAI, Azure OpenAI o similar).
Conocimientos básicos de programación y manipulación de datos en JSON.
Este curso es ideal para quienes buscan dominar Semantic Kernel y aplicar IA en soluciones del mundo real.
Who this course is for:
- Desarrolladores interesados en crear aplicaciones impulsadas por IA.
- Estudiantes e investigadores que trabajan en proyectos impulsados por IA.
Instructors
- 4.7 Instructor Rating
- 187 Reviews
- 4,190 Students
- 3 Courses
Jose is a Master of Electrical Engineering turned .NET Developer/Architect. Big DevOps advocate and Xamarin Certified. Jose spends most of his time on training, consulting and development of Azure based solutions for enterprise customers. Passionate about performance, data access, application design and DevExpress products, specially XAF and XPO. There is no project where he does not include XAF in one way or another. From mobile, windows to web applications his goal is to have XPO and XAF security everywhere. He is also a tech speaker, blogger and is always pushing to grow the community. Blazor is his new crush.
- 4.7 Instructor Rating
- 187 Reviews
- 4,190 Students
- 3 Courses
From Systems Developer to AI Explorer: The Journey of Joche Ojeda
I'm Jose Manuel Ojeda, though most people know me as Joche. While I started with a computer management degree, my real learning kicked in on the job. Back in 2003, I was working to standardize software systems across nine global branches, helping transition everything to the then-new .NET technology.
Through consistent work and problem-solving, I moved up to lead programmer, where I evaluated different controls and frameworks for our development needs. My work impacted offices across the U.S., Canada, Chile, U.K., Australia, and China, including a key project to assess frameworks for a company-wide ERP system.
In 2008, I stepped into independent consulting, which opened new doors. Along with my business partner Jose Javier Columbie, we established XAI in the United States. This gave us the opportunity to travel and teach C# .NET, XPO, and XAF to development teams at various companies. Working with our XARI & BitFrameworks team, we've helped build numerous business applications that solve real-world problems.
These days, I focus on practical applications of AI in business software. I spend most of my time developing prototypes with Semantic Kernel and Microsoft AI extensions, testing different AI models to understand how they perform in typical business scenarios. It's hands-on work that combines my background in enterprise software with emerging AI technologies.