LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG

Übersicht

This specialization teaches end-to-end LLM engineering—from prompt design and evaluation to fine-tuning workflows, model optimization, and retrieval-augmented generation (RAG). You’ll learn to build robust LLM applications with measurable quality, safer outputs, and cost-aware performance using modern tooling such as LangChain, Hugging Face, and LangGraph.

By the end, you’ll be able to design production-ready LLM pipelines that combine prompting, adaptation, and retrieval for real-world use cases.

Lehrplan

• Course 1: Prompt Engineering for LLMs
• Course 2: Fine-Tuning & Optimizing Large Language Models
• Course 3: RAG Systems in Practice

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Unterrichtet von

Edureka

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Fachgebiete

Artificial Intelligence