Nulled Udemy – Build RAG Applications with LlamaIndex and JavaScript [NEW] 2024-7

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Udemy – Build RAG Applications with LlamaIndex and JavaScript [NEW] 2024-7

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Description

Course Build RAG Applications with LlamaIndex and JavaScript [NEW]. This course will teach you the skills to build Retrieval-Augmented Generation (RAG) based applications using JavaScript and LlamaIndex. RAG is a technique that helps applications retrieve and process data efficiently and generate context-sensitive responses. In this course, you’ll learn how to build custom query engines using LlamaIndex, and how to use RAG techniques to build programs that efficiently retrieve and process data and produce context-relevant answers.

What you will learn:

• Learn RAG Basics: Understand the basic principles of RAG and how to improve data retrieval and production in modern applications.
• Build Custom Query Engines: Learn how to design and implement custom query engines using LlamaIndex, integrate different indexing strategies, and optimize them for specific use cases.
• Integrate with JavaScript: Get hands-on experience using JavaScript to build and deploy RAG applications, making connections between theory and real-world application development.
• Use LLMs and advanced selection techniques: Learn how to integrate LLMs with advanced selection mechanisms to intelligently route queries and generate accurate, context-relevant answers.
• Deploy Scalable Data Engines: Learn how to deploy your RAG applications to ensure they are optimized for performance and scalability in real-world scenarios.

This course is suitable for people who:

• Software Developers and Engineers: Professionals looking to expand their skills in building custom, modular systems for querying and retrieving data will find this course invaluable. This course will equip you with the tools and knowledge to implement efficient and scalable query engines.
• Data scientists and analysts: If you work in data processing, analysis, or machine learning, this course will help you understand how to effectively index, query, and retrieve data using LlamaIndex. You will learn how to use LLMs and advanced selection mechanisms to optimize your data workflow.
• AI and ML Professionals: This course is ideal for those interested in practical applications of Large Language Models (LLMs) in real-world scenarios. You will learn how to integrate LLMs into your data query systems and improve your AI/ML projects.
• Tech Enthusiasts and Learners: If you are tech savvy and eager to learn advanced tools for data processing and artificial intelligence, this course will provide you with a solid foundation. Even if you are new to the field, the course is designed to be accessible with clear explanations and hands-on exercises.

Specifications of Build RAG Applications with LlamaIndex and JavaScript course [NEW]

• Publisher:  Udemy
• Instructor: Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor
• Training level: beginner to advanced
• Training duration: 2 hours and 54 minutes
• Number of courses: 35

Course topics on 8/2024

 

Build RAG Applications with LlamaIndex and JavaScript course prerequisites [NEW]

• Basic Understanding of Programming: Learners should have a foundational knowledge of programming concepts, including variables, functions, and control structures.
• Interest in Machine Learning or Data Processing: While prior experience in machine learning or data processing is not required, an interest in these areas will enhance the learning experience, as the course delves into LLMs (Large Language Models) and their applications.

Course images

Sample video of the course

Installation guide

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Subtitle: None

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 130 MB

File(s) password: www.downloadly.ir

File size

2.1 GB