Building a RAG Solution from Scratch
With Axel Sirota
Liked by 97 users
Duration: 2h 53m
Skill level: Intermediate
Released: 1/31/2025
Course details
In this course, Axel Sirota introduces Retrieval-Augmented Generation (RAG) as a powerful technique for enhancing the capabilities of Large Language Models (LLMs). Learn the foundational concepts and practical applications of RAG, focusing on creating chatbots and decision support systems across various domains. Using the MIMIC-III dataset to create a healthcare chatbot that can answer questions or suggest a diagnosis as an example, get hands-on experience in building RAG systems with TensorFlow, Keras, and HuggingFace. By the end of the course, you will be equipped to deploy RAG solutions that integrate robust retrieval mechanisms with generative models, applicable in fields like healthcare, legal, and customer service.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Mehdi Sattari
Mehdi Sattari
Data Scientist | PhD | Data Analytics | Machine Learning | Artificial Intelligence (AI) | Customer Lifecycle & Churn Modeling | Credit Risk
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Jignesh P
Jignesh P
AI Solutions Architect | Lead Software Developer | D365 CRM Specialist | UI/UX Strategist | Full Stack Developer | AEM Front End Developer | Problem…
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Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
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