Construire des applications LLM de nouvelle génération avec LangChain & LangGraph

Aperçu

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.

Programme

• Cours 1 : Construire, Analyser et Réfactoriser les Flux de Travail des LLM
• Cours 2 : Optimiser et Interfacer Efficacement les Applications LLM
• Cours 3 : Déployer des Microservices IA Résilients avec LangChain
• Cours 4 : Automatiser et Sécuriser les Déploiements LLM
• Cours 5 : Affiner et Optimiser les Modèles d'IA Générative
• Cours 6 : Évaluer et Optimiser la Performance des Applications LLM
• Cours 7 : Valider les Inserts LLM pour un Usage en Production
• Cours 8 : Construire et Adapter les Modèles LLM avec Confiance
• Cours 9 : Concevoir et Sécuriser les API LLM pour la Scalabilité
• Cours 10 : Concevoir et Présenter des Solutions IA Responsables
• Cours 11 : Mesurer l'Impact de l'Apprentissage Machine et la Valeur Commerciale

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Enseigné par

Ashraf S. A. AlMadhoun, Caio Avelino, Karlis Zars, Ritesh Vajariya, Sonali Sen Baidya and Starweaver

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Matières

Artificial Intelligence