1. Generative AI Explained:
Learn how it works, its applications, challenges, and opportunities.
https://lnkd.in/gtPbx-pb
2. Building A Brain in 10 Minutes
Learn about how neural networks use data to learn and the math behind a neuron.
https://lnkd.in/gPtpY-_5
3. Augment your LLM with Retrieval Augmented Generation:
Learn about RAG basics, retrieval process, and NVIDIA AI Foundations.
https://lnkd.in/gVVuekJC
4. AI in the Data Center
Learn about AI use cases, GPU architecture, deep learning frameworks, and deployment.
https://lnkd.in/gchbgUxa
5. Accelerate Data Science Workflows with Zero Code Changes:
Learn about unified CPU and GPU workflows, GPU-accelerated data processing, and faster processing times.
https://lnkd.in/gJdScYhc
6. Mastering Recommender Systems:
Learn strategies from Kaggle Grandmasters for e-commerce recommendations.
Cover 2-stage models, candidate generation, feature engineering, and ensembling.
https://lnkd.in/gTPmu4rM
7. Networking Introduction:
Learn about networks, Ethernet basics, data forwarding, network components, OSI model, and TCP/IP protocol.
https://lnkd.in/gS5rR7ej
8. Perform Large-Scale Image Classification:
Learn about challenges, modeling techniques, and validation strategies in large-scale image classification.
https://lnkd.in/gCbe68uT
9. Building RAG Agents with LLMs:
Learn about scalable deployment, LangChain paradigms, and advanced models for production.
https://lnkd.in/gpbfdj3B
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
https://lnkd.in/gUCj82he
