تطوير تطبيقات RAG

2

Days

Live or E-learning

Delivery Method

Skill Level

$1,200 دولار أمريكي

Fee

Overview

This course offers a comprehensive understanding of key Retriever-Augmented Generation (RAG) concepts, techniques, and application strategies for building LLM-powered applications. It’s designed for both LLM Engineers and AI Developers looking to advance their skills in developing RAG-based LLM solutions. Participants will gain hands-on experience in building RAG applications, working with vector databases, document ingestion and indexing, document ranking, and generating outputs using LangChain.

Completing this course will help you:

  • اكتساب فهم عميق لمفاهيم وتطبيقات RAG.
  • تكوين وإدارة قواعد بيانات المتجهات مثل Chroma وMilvus.
  • قم بتطوير التطبيقات التي تعمل بنظام RAG باستخدام Python وLangChain وFastAPI أو Streamlit.
  • فهم تقنيات RAG المتقدمة لتحسين الأداء.

Curriculum

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  • Scales from pilot teams to enterprise-wide rollouts
  • Co-designed around your roles, data, and business goals
  • Hands-on learning through real-world projects
  • Led by industry practitioners, not just instructors
  • Focused on measurable skill outcomes, not certificates
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