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Inicio 5 June 2026 18:44
Fin 5 June 2026
Crea aplicaciones LLM de próxima generación con LangChain y LangGraph.
Coursera
2874 Cursos
4 weeks, 10 hours a week
Actualización opcional disponible
Not Specified
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Paid Course
Actualización opcional disponible
Resumen
Transform from LLM experimentation to enterprise-grade production with this comprehensive specialization in LangChain and LangGraph development. Master the complete lifecycle of building, deploying, and scaling Large Language Model applications that handle millions of requests with 99.9% uptime.
You'll architect resilient microservices, implement parameter-efficient fine-tuning that cuts costs by 90%, and deploy automated CI/CD pipelines with enterprise security controls. Through hands-on labs based on real-world scenarios from e-commerce, healthcare, and finance, you'll learn to decompose monolithic LLM apps into scalable services, validate embeddings for semantic search, and optimize performance achieving sub-100ms response times.
The specialization covers critical production concerns including prompt injection protection, chaos engineering for resilience testing, and ROI measurement frameworks that connect model metrics to business value. You'll work with industry-standard tools including Hugging Face Transformers, Docker, Kubernetes, Terraform, and monitoring systems like Prometheus and Grafana.
Each course builds practical skills through AI-graded assignments and projects that simulate enterprise constraints around latency, cost, and compliance. By completion, you'll have deployed secure, observable LLM platforms capable of handling enterprise workloads while maintaining cost efficiency and meeting business objectives.
Programa
- Curso 1: Construir, Analizar y Refactorizar Flujos de Trabajo de LLM
- Curso 2: Optimizar e Interfaz de Aplicaciones LLM Efectivamente
- Curso 3: Desplegar Microservicios de IA Resilientes con LangChain
- Curso 4: Automatizar y Asegurar Despliegues de LLM
- Curso 5: Ajustar y Optimizar Modelos de IA Generativa
- Curso 6: Evaluar y Optimizar el Rendimiento de Aplicaciones LLM
- Curso 7: Validar Embeddings de LLM para Uso en Producción
- Curso 8: Construir y Adaptar Modelos LLM con Confianza
- Curso 9: Diseñar y Asegurar APIs de LLM para Escalabilidad
- Curso 10: Diseñar y Presentar Soluciones de IA Responsables
- Curso 11: Medir el Impacto de ML y el Valor para el Negocio
Impartido por
Ashraf S. A. AlMadhoun, Caio Avelino, Karlis Zars, Ritesh Vajariya, Sonali Sen Baidya and Starweaver
Materias
Artificial Intelligence