RAG from Scratch: Build a Knowledge-Powered Chatbot

Name: RAG from Scratch: Build a Knowledge-Powered Chatbot
Price: 49 USD
Availability: InStock

Coursera · intermediate · 10h

$49Certificate included

Learn how to design, build, evaluate, and deploy production-quality Retrieval-Augmented Generation (RAG) systems for real-world enterprise use cases. You’ll start by understanding why LLMs hallucinate and how RAG differs from fine-tuning and long-context strategies. Then you’ll implement a complete naive RAG pipeline from scratch in Python: generating embeddings with OpenAI, computing cosine similarity, building a simple vector store, and wiring up retrieval-augmented prompts that produce grounded, cited answers.

Skills covered

RAG Fine-Tuning Machine Learning Python Large Language Models Embeddings Large Language Modeling Document Management Retrieval-Augmented Generation Token Optimization Metadata Management Unstructured Data Data Wrangling

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