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Vector Databases AI Fundamentals [NEW]

Udemy
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Vector Databases Fundamentals [NEW]
Vector Databases Fundamentals

Unlock the Potential of Your Data with Pinecone, Chroma, and Beyond for AI-based Applications

Product Brand: Udemy

Editor's Rating:
4.7

Udemy Coupon Code for Vector Databases AI Fundamentals [NEW] Course. Unlock the Potential of Your Data with Pinecone, Chroma, and Beyond for AI-based Applications

Created by Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor | 4.5 hours on-demand video course

Vector Databases AI Course Overview

Vector Databases AI Fundamentals [NEW]

In the era of big data and AI, managing and extracting meaningful insights from vast amounts of unstructured data is more crucial than ever. “Mastering Vector Databases: From Foundations to Advanced Applications” is your comprehensive guide to understanding, building, and leveraging vector databases to transform your data management capabilities.

What You Will Learn

  • Foundations of Vector Databases: This course will help you gain a solid understanding of vector databases, why they are essential, and how they differ from traditional databases.
  • Overview of Top Vector Database Solutions: Explore the top 5 vector database solutions, including Pinecone and Chroma, and understand their unique features and key differences.
  • Building Vector Databases from Scratch: Learn how to construct your vector database from the ground up, focusing on metrics, data structures, and efficient data storage.
  • Vectorization Techniques: Master converting unstructured data into meaningful vectors using abstraction frameworks and embedding techniques.
  • Hands-On Projects: Apply your knowledge with practical projects that demonstrate real-world applications of vector databases, including AI-driven search, document clustering, and personalized content recommendations.
  • Advanced Querying and Retrieval: Understand how to quickly perform efficient similarity searches and retrieve relevant data using advanced querying techniques.

LangGraph- Develop LLM powered agents with LangGraph

LangGraph- Develop LLM powered agents with LangGraph

Learn LangGraph by building FAST a real world generative ai LLM Agents (Python)

Welcome to first LangGraph Udemy course – Unleashing the Power of LLM Agents! This comprehensive course is designed to teach you how to QUICKLY harness the power the LangGraph library for LLM agentic applications. This LangGraph- Develop LLM powered agents with LangGraph Course will equip you with the skills and knowledge necessary to develop cutting-edge LLM Agents solutions for a diverse range of topics.

Gen AI – RAG Application Development using LlamaIndex

Gen AI – RAG Application Development using LlamaIndex

Learn LlamaIndex to Develop RAG Applications using Open AI GPT, Gemini LLM and Vector Databases

This Gen AI – RAG Application Development using LlamaIndex Course uses Open AI GPT and Google Gemini APIs, LlamaIndex LLM Framework and Vector Databases like ChromaDB and Pinecone, and is intended to help you learn how to build LLM RAG applications through solid conceptual and hands-on sessions. This course covers all the basic aspects to learn LLM RAG apps and Frameworks like Agents, Tools, QueryPipelines, Retrievers, Query Engines in a crisp and clear manner. It also takes a dive into concepts of Language Embeddings and Vector Databases to help you develop efficient semantic search and semantic similarity based RAG Applications.

Who this course is for

  • Data Scientists and Analysts looking to enhance their data management skills.
  • Developers and Engineers interested in building robust, scalable data solutions.
  • AI Enthusiasts and Researchers aiming to leverage vector databases for advanced applications.
  • Anyone interested in mastering the latest tools and techniques for managing unstructured data.

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Taught by Paulo Dichone

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