Top 9 NVIDIA FREE online courses in AI (Artificial intelligence)

1. Generative AI Explained: What you'll learn: • Generative AI and explain how Generative AI works. • Various Generative AI applications. • Challenges and opportunities in Generative AI

2. Building A Brain in 10 Minutes - What you'll learn: • Exploring how neural networks use data to learn • Understanding the math behind a neuron

3. Augment your LLM with Retrieval Augmented Generation - What you'll learn: • Basics of Retrieval Augmented Generation • RAG retrieval process • NVIDIA AI Foundations and RAG model components

4. AI in the Data Center - What you'll learn: • AI use cases, Machine Learning, Deep Learning, and their workflows. • GPU architecture and its impact on AI. • Deep learning frameworks, and deployment considerations.

5. Accelerate Data Science Workflows with Zero Code Changes - What you'll learn: • Learn benefits of unified CPU and GPU workflows • GPU-accelerate data processing and ML without code changes • Experience faster processing times

6. Mastering Recommender Systems - What you'll learn: • Strategies from Kaggle Grandmasters on building recommendation systems for e-commerce. • Cover 2-stage models, candidate generation, feature engineering, and ensembling

7. Networking Introduction - What you'll learn: • Learn about networks and their importance. • Explore Ethernet basics and data forwarding in Ethernet networks. • Discuss network components, requirements, OSI model, TCP/IP protocol

8. How to Perform Large-Scale Image Classification - What you'll learn: • Learn large-scale image classification • Cover challenges, modeling techniques AND validation strategies.

9. Building RAG Agents with LLMs - What you'll learn: • Scalable deployment strategies for LLMs and vector databases. • Modern LangChain paradigms for dialog management and document retrieval. • Using advanced models and steps for production.