# Artificial Intelligence

Explore all that NVIDIA offers developers working with AI—from data processing and ETL feature engineering to graph, classical machine learning, and deep learning model training to large-scale inference.

#### Catalog:

[API Catalog](https://build.nvidia.com/explore/discover)

## Explore AI Topics

### Generative AI

Train massive multimodal models, fine-tune for use cases, and quantize and deploy from data centers to the smallest embedded devices.

[Explore Generative AI Resources](https://developer.nvidia.com/generative-ai)

### Data Science

Learn techniques and strategies to accelerate your data pipelines.

[Explore Data Science Resources](https://developer.nvidia.com/topics/ai/data-science/)

### AI Inference

Deploy AI models faster and with more accuracy and achieve faster insights.

[Explore AI Inference Resources](https://developer.nvidia.com/topics/ai/ai-inference/)

### Retrieval-Augmented Generation

Enhances large language model prompts with relevant data for more practical, accurate responses.

[Explore RAG Resources](https://developer.nvidia.com/topics/ai/retrieval-augmented-generation)

### Vision AI

Develop faster, create highly accurate AI applications with high performance, and achieve multimodal real-time insights.

[Explore Vision AI Resources](https://developer.nvidia.com/computer-vision)

## Explore AI Learning Paths

**Module 1**

### How to Build an AI Agent

**Segments**: Agentic AI

This is a learning path for AI developers who are interested in building specialized AI agents. Learn about the foundational concepts and build it yourself using NVIDIA Nemotron, a family of open-source models with open weights, training data, and recipes.

[Learn How to Build an AI Agent](https://developer.nvidia.com/topics/ai/how-to-build-an-ai-agent)

**Module 2**

### How to Build a RAG AI Agent

**Segments**: Agentic AI

This is a learning path course for AI developers experienced with retrieval-augmented generation (RAG) interested in building agentic RAG. Learn about RAG AI agents and build it yourself with NVIDIA Nemotron, a family of open-source models with open weights, training data, and recipes.

[Learn How to Build a RAG AI Agent](https://developer.nvidia.com/topics/ai/how-to-build-an-agentic-rag)

## Explore AI for Industries

### Financial Services

### Game Development

### Healthcare

### Retail

### Telecommunication

### The Most Advanced AI, Ready for Enterprise

Transform any enterprise into an AI organization with full-stack innovation across accelerated infrastructure, enterprise-grade software, and AI models. By accelerating the entire AI workflow, projects reach production faster, with higher accuracy, efficiency, and infrastructure performance at a lower overall cost for various solutions and applications.

[Learn About NVIDIA’s AI Solutions](https://www.nvidia.com/en-us/solutions/ai/)