Shruti Mishra

NVIDIA just released FREE online courses in AI.

Here are 8 courses you can't afford to miss:
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1. Generative AI Explained

What you'll learn:

• Generative AI and how it works.
• Various Generative AI applications.
• Challenges and opportunities in Generative AI

Link: https://lnkd.in/gTAJ-sKa

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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

Link: https://lnkd.in/gvVrqwZF

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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

Link: https://lnkd.in/g8hYube9

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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.

Link: https://lnkd.in/gvNzawxe

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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

Link: https://lnkd.in/gRmxxVn8

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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.

Link: https://lnkd.in/gdHtJbVS

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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

Link: https://lnkd.in/gqX2CJMu

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8. How to Perform Large-Scale Image Classification

What you'll learn:

• Learn large-scale image classification
• Cover challenges, modeling techniques AND validation strategies.

Link: https://lnkd.in/gWRSha8P

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