Build an AI Agent (OpenAI, LlamaIndex, Pinecone & Streamlit)
Build an AI Agent (OpenAI, LlamaIndex, Pinecone & Streamlit)
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 20m | 1.38 GB
Instructor: David Armendáriz
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 20m | 1.38 GB
Instructor: David Armendáriz
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!
Build an AI Agent (OpenAI, LlamaIndex, Pinecone & Streamlit)
