Free Coupon Semantic Search API with S-BERT and Search API with RAG/LLM

Unlock a coupon code coupon code for the course 'Semantic Search API with S-BERT and Search API with RAG/LLM' by André Vieira de Lima on Udemy!
This highly-rated course boasts a 5.0-star-star rating from 0 reviews and has successfully guided 866 students in mastering Data Science skills. Featuring 7 hour(s) 30 minute(s) of expert-led content delivered in English, this course offers thorough training to enhance your Social Science expertise. The course details were last updated on December 24, 2024. This coupon code is brought to you by Anonymous.

• Expired on April 02, 2025
• Last Update: April 02, 2025
• Price: 49.99 $ 11.99 $

About This Course

In a rich Artificial Intelligence Bootcamp, learn S-BERT and RAG(LLM) through Natural Processing Language (NLP) with Python, and develop a semantic text search engine API by solving a real problem of a purchasing analysis system.

As content:

1. Fundamentals.
   Learn the fundamentals of Data Science;

   • Learn the fundamentals of Machine Learning;

   • Learn the fundamentals of Natural Language Processing;

   • Learn the fundamentals of Data Cleaning, Word Embendings, Stopwords, and Lemmatization;

   • Learn the fundamentals of text search by keywords and semantic text search;

2. Practice Data Science to understand the problem, prepare the database and statistical analysis;

3. Practical project.
   This course is divided into two modules where you will learn concepts and build a text search application in a practical way.

   1. BERT
      In this module, you will work with:

      • Python to develop the application;

      • Data cleaning techniques to prepare the database;

      • Using the SpaCy library for Natural Language Processing;

      • Generating Word Embeddings and calculating similarity for data recovery;

      • Transformers model for data recovery by context;

      • S-BERT as a semantic text search tool;

      • Flask and Flassger for developing APIs.

   2. Retrieval-augmented generation (RAG)
      In this module you will work with:

      • Python to develop the application;

      • Large Language Models (LLMs). Advanced AI models that understand and generate natural language;

      • Using the OpenAI API to build AI products

      • LangChain to build applications that use LLMs;

      • Flask and Flassger for developing APIs.

4. Optional module: learn how to develop API with Flask.

Welcome and have fun.