Udemy – Build an AI Agent (OpenAI, LlamaIndex, Pinecone & Streamlit) 2024-12

Udemy – Build an AI Agent (OpenAI, LlamaIndex, Pinecone & Streamlit) 2024-12 Downloadly IRSpace

Apr 18, 2025 - 18:47 Updated: Aug 17, 2025 - 18:37

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Udemy – Build an AI Agent (OpenAI, LlamaIndex, Pinecone & Streamlit) 2024-12

Build an AI Agent (OpenAI, LlamaIndex, Pinecone & Streamlit) Course. This comprehensive course takes you from scratch to champion in building powerful AI agents using cutting-edge tools like OpenAI, LlamaIndex, Pinecone, and Streamlit. Whether you’re a beginner or an experienced developer, this course will give you everything you need to build interactive, real-world AI applications.

What you will learn:

Combining External Data with AI: Learn how to combine external data with AI to build advanced question and answer systems.
Hands-on experience with LlamaIndex: Gain hands-on experience building custom AI agents using LlamaIndex
Understanding Embeddings: Understand how to generate and use embeddings with text-embedding-3-large for efficient data retrieval.
Building scalable intelligent systems: Creating intelligent systems capable of retrieving relevant information in real time

Who is this course suitable for?

Developers and data enthusiasts: People interested in building AI-based tools.
Python programmers: Those looking to explore vector embeddings and LlamaIndex.
Beginners in AI: People who want to build practical, real-world applications.
Tech Enthusiasts: People interested in OpenAI technologies and intelligent agents.

Build an AI Agent (OpenAI LlamaIndex Pinecone & Streamlit) Course Details

Publisher: Udemy
Instructor: David Armendáriz
Training level: Beginner to advanced
Training duration: 2 hours and 20 minutes
Number of lessons: 25

Course headings

Prerequisites for the Build an AI Agent course (OpenAI LlamaIndex Pinecone & Streamlit)

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.