Free Coupon Semantic Search API with S-BERT and Search API with RAG/LLM [100% OFF]

Using Artificial Intelligence (NLP) to build a semantic text query API with BERT and RAG (LangChain/LLM)

Free Coupon Semantic Search API with S-BERT and Search API with RAG/LLM [100% OFF]

Take advantage of a coupon code for the 'Semantic Search API with S-BERT and Search API with RAG/LLM' course, created by André Vieira de Lima, available on Udemy.

This course, updated on April 02, 2025 and it is expired on April 02, 2025.

This course provides 7 hour(s) 30 minute(s) of expert-led training in English , designed to boost your Data Science skills.

Highly rated at 5.0-star stars from 0 reviews, it has already helped 866 students.

This exclusive coupon is shared by Anonymous, at the price 49.99 $ 11.99 $

Don’t miss this opportunity to level up your skills!

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.