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Retrieval Augmented Generation

Name: Retrieval Augmented Generation
Price: 49 USD
Availability: InStock

About this course

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. In this specialization, you’ll learn advanced techniques for building and deploying Retrieval-Augmented Generation (RAG) systems. You’ll explore methods like query expansion, re-ranking, and dense passage retrieval, while gaining hands-on experience with RAG's core components. The specialization also helps you navigate RAG deployment challenges and provides solutions for real-world applications. The specialization is divided into four parts. It begins with an introduction to RAG concepts, followed by developing RAG applications using LlamaIndex and integrating data with LLMs. Next, you'll explore using Knowledge Graphs to enhance AI systems, and finally, build multimodal systems by combining RAG with GPT for smarter solutions. This specialization is perfect for intermediate learners with a basic understanding of AI and programming. It’s suitable for those interested in AI, software development, and data science. Familiarity with Python is required. By the end of the specialization, you’ll be able to develop RAG applications, use Knowledge Graphs to improve AI systems, and create multimodal systems combining RAG with GPT.

68/100

CourseAsk score

What the provider tells you: 32/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

develop RAG applications
use Knowledge Graphs to improve AI systems
create multimodal systems combining RAG with GPT

Artificial Intelligence #large language models #gpt #software development #rag #multimodal systems #query expansion #re-ranking #dense passage retrieval #llamaindex #knowledge graphs #ai systems

$49.00

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