Description
AI Engineering: Retrieval Augmented Generation (RAG) for LLMs. Advance in the age of AI with this hands-on course. This course teaches you how to build better AI applications using one of the most important AI techniques used in the real world to supplement the knowledge of AI models with proprietary or new information: Retrieval Augmented Generation (RAG). Who is an AI engineer? In short, an AI engineer works on the entire lifecycle of an AI application – that is, an application that uses AI at its core. An AI engineer takes AI models, including Large Language Models, and customizes them to suit your needs.
What you will learn:
- Combining Generative AI Models with Retrieval Augmented Generation to Build Smarter AI Systems
- Using OpenAI APIs for text generation and unstructured data processing
- Mastering FAISS for efficient similarity searches in massive datasets
- Applying prompt engineering techniques for optimal AI responses
- Building real AI projects like chatbots and financial analysis tools
- Exploring advanced RAG concepts such as multimodal and agentic RAG
Who is this course suitable for?
- AI developers who want to build smarter and more efficient AI applications.
- Artificial intelligence engineers who want to learn about the RAG technique and implement it in their projects.
- Anyone interested in learning advanced AI techniques and building practical AI applications.
AI Engineering Bootcamp Course Details: Retrieval Augmented Generation (RAG) for LLMs
- Publisher: ZeroToMastery
- Instructor: Diogo Resende
- Training level: Beginner to advanced
- Training duration: 18 hours and 17 minutes
- Number of lessons: 172
Course headings
Prerequisites for the AI Engineering: Retrieval Augmented Generation (RAG) for LLMs
- Basic Python knowledge is required.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Changes:
Version 2025/3 has increased the number of lessons by 29 and the duration by 1 hour and 4 minutes compared to version 2025/2.
Version 2025/8 compared to 2025/3 has increased by 16 lessons and 3 hours and 4 minutes in duration.
The 2026/4 version has decreased to 23 lessons and a duration of 3 hours 44 minutes compared to 2025/8.
Download link
File(s) password: www.downloadly.ir
File size
9.51 GB
6 Comments. Leave new
please update, it is now a whole different course
Hi
Updated
please update, new important sections added.
Hi
Not available
Course is outdated. The whole part with Huggingface is not working anymore so everything he is showing is obsolete. ANyway thanks for your uploading effort.
Hi
Updated