Generative AI Explained
In this no-coding course, learn Generative AI concepts and applications, as well as the challenges and opportunities in this exciting field.
Generative AI describes technologies that are used to generate new content based on a variety of inputs. In recent time, Generative AI involves the use of neural networks to identify patterns and structures within existing data to generate new content. In this course, you will learn Generative AI concepts, applications, as well as the challenges and opportunities in this exciting field.
Building A Brain in 10 Minutes
This notebook explores the biological and psychological inspirations to the world’s first neural networks. Know more about building a brain in 10 Minutes
AI in the Data Center
Learn about AI use cases, GPU architecture, deep learning frameworks, and deployment. https://coursera.org/learn/introduction-ai-data-center
Accelerate Data Science Workflows with Zero Code Changes
Learn about unified CPU and GPU workflows, GPU-accelerated data processing, and faster processing times. https://courses.nvidia.com/courses/course-v1:DLI+T-DS-03+V1/
Getting Started with AI on Jetson Nano
You will learn how to: – Set up Jetson Nano and camera – Collect image data – Annotate data – Train a neural network – Run inference https://courses.nvidia.com/courses/course-v1:DLI+S-RX-02+V2/
Building RAG Agents
Building RAG Agents with LLMs: Learn about scalable deployment, LangChain paradigms, and advanced models for production. https://courses.nvidia.com/courses/course-v1:DLI+S-FX-15+V1/
Perform Large-Scale Image Classification
Learn about challenges, modeling techniques, and validation strategies in large-scale image classification. https://classcentral.com/course/youtube-grandmaster-series-how-to-perform-large-scale-image-classification-130184
Networking Introduction
Learn about networks, Ethernet basics, data forwarding, network components, OSI model, and TCP/IP protocol. https://coursera.org/learn/introduction-to-networking-nvidia
Mastering Recommender Systems: Learn strategies from Kaggle Grandmasters for e-commerce recommendations. Cover 2-stage models, candidate generation, feature engineering, and ensembling.