Jan

10

2025

Build An Ai Agent (openai, Llamaindex, Pinecone & Streamlit)

unity3d 10 Jan 2025 19:52 LEARNING » e-learning - Tutorial


Build An Ai Agent (openai, Llamaindex, Pinecone & Streamlit)
Build An Ai Agent (openai, Llamaindex, Pinecone & Streamlit)
Published 1/2025
Created by David Armendáriz
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 25 Lectures ( 2h 20m ) | Size: 1.37 GB


Master AI Agents with OpenAI, LlamaIndex, Pinecone & Streamlit. Build an interactive AI agent step by step.
What you'll learn
Learn how to combine external data sources with AI to build advanced question-answering systems
Gain hands-on experience in building custom AI agents using LlamaIndex.
Understand how to generate and utilize embeddings with text-embedding-3-large for efficient data retrieval.
Create scalable, intelligent systems capable of retrieving relevant information in real-time.
Requirements
Basic familiarity with Python programming is recommended but not mandatory.
Enthusiasm to learn about AI, embeddings, and LlamaIndex.
No prior experience with AI tools or libraries is needed – everything will be explained step-by-step.
Description
Are you ready to dive into the world of AI and create powerful agents using cutting-edge tools? This course is designed to take you from zero to hero in building intelligent AI agents with OpenAI, LlamaIndex, Pinecone, and Streamlit. Whether you're a beginner exploring AI or a seasoned developer looking to expand your skills, this course offers everything you need to build interactive, real-world AI applications.What You'll Learn:How to use OpenAI's API to generate intelligent responses.Building and managing knowledge indexes with LlamaIndex.Storing and retrieving vector embeddings with Pinecone for efficient AI searches.Creating interactive user interfaces for your AI agents with Streamlit.Best practices for integrating these tools to build scalable AI solutions.Why Take This Course?The demand for AI-driven applications is skyrocketing, and understanding how to create AI agents is a game-changing skill. This course provides practical, hands-on experience with real-world use cases. By the end, you'll have built a fully functional AI agent ready to deploy and showcase.Who This Course Is For:Developers and engineers interested in AI and machine learning.Data scientists looking to explore AI-driven tools.Entrepreneurs and innovators eager to build AI-powered applications.Students and professionals seeking hands-on experience in AI development.Join now and unleash the potential of AI agents in your projects!
Who this course is for
Developers and data enthusiasts curious about building AI-powered tools.
Python programmers looking to explore vector embeddings and LlamaIndex.
Beginners in AI who want to create practical, real-world applications.
Tech enthusiasts interested in OpenAI technologies and intelligent agents.
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