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

Name: LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG Specialization
Price: 49 USD
Availability: InStock
Rating: 3.7 (6 reviews)

Coursera · intermediate · 38h

★ 3.76 reviews$49/moCertificate included

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.

Skills covered

Prompt Engineering Model Evaluation RAG Fine-Tuning Large Language Models LangChain Hugging Face LLM Application Prompt Patterns Large Language Modeling Retrieval-Augmented Generation Context Engineering Model Optimization Token Optimization

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