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Message: <blockquote data-quote="thomian" data-source="post: 30615261" data-attributes="member: 357290"><img src="https://www.nvidia.com/en-us/about-nvidia/legal-info/logo-brand-usage/_jcr_content/root/responsivegrid/nv_container_392921705/nv_container/nv_image.coreimg.100.1070.png/1703060329053/nvidia-logo-vert.png" alt="" class="fr-fic fr-dii fr-draggable " style="width: 754px" /> 1. Generative AI Explained: Learn how it works, its applications, challenges, and opportunities. <a href="https://lnkd.in/gtPbx-pb" target="_blank">https://lnkd.in/gtPbx-pb</a> 2. Building A Brain in 10 Minutes Learn about how neural networks use data to learn and the math behind a neuron. <a href="https://lnkd.in/gPtpY-_5" target="_blank">https://lnkd.in/gPtpY-_5</a> 3. Augment your LLM with Retrieval Augmented Generation: Learn about RAG basics, retrieval process, and NVIDIA AI Foundations. <a href="https://lnkd.in/gVVuekJC" target="_blank">https://lnkd.in/gVVuekJC</a> 4. AI in the Data Center Learn about AI use cases, GPU architecture, deep learning frameworks, and deployment. <a href="https://lnkd.in/gchbgUxa" target="_blank">https://lnkd.in/gchbgUxa</a> 5. Accelerate Data Science Workflows with Zero Code Changes: Learn about unified CPU and GPU workflows, GPU-accelerated data processing, and faster processing times. <a href="https://lnkd.in/gJdScYhc" target="_blank">https://lnkd.in/gJdScYhc</a> 6. Mastering Recommender Systems: Learn strategies from Kaggle Grandmasters for e-commerce recommendations. Cover 2-stage models, candidate generation, feature engineering, and ensembling. <a href="https://lnkd.in/gTPmu4rM" target="_blank">https://lnkd.in/gTPmu4rM</a> 7. Networking Introduction: Learn about networks, Ethernet basics, data forwarding, network components, OSI model, and TCP/IP protocol. <a href="https://lnkd.in/gS5rR7ej" target="_blank">https://lnkd.in/gS5rR7ej</a> 8. Perform Large-Scale Image Classification: Learn about challenges, modeling techniques, and validation strategies in large-scale image classification. <a href="https://lnkd.in/gCbe68uT" target="_blank">https://lnkd.in/gCbe68uT</a> 9. Building RAG Agents with LLMs: Learn about scalable deployment, LangChain paradigms, and advanced models for production. <a href="https://lnkd.in/gpbfdj3B" target="_blank">https://lnkd.in/gpbfdj3B</a> 10. 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 <a href="https://lnkd.in/gUCj82he" target="_blank">https://lnkd.in/gUCj82he</a> Source  - LinkedIn</blockquote>

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