NVIDIA, the American multinational corporation and technology company, has released eight (8) free courses on artificial intelligence (AI).
If you are interested in exploring the world of AI, here are 8 free courses you don’t want to miss:
Learn how to:
• Define Generative AI and explain how Generative AI works
• Describe various Generative AI applications
• Explain the challenges and opportunities in Generative AI
2. Getting Started with AI on Jetson Nano
Learn how to:
• Set up your Jetson Nano and camera
• Collect image data for classification models
• Annotate image data for regression models
• Train a neural network on your data to create your models
3. Building A Brain in 10 Minutes
Objectives:
• How neural networks use data to learn
• Understand the math behind a neuron
4. Building Video AI Applications on Jetson Nano
Learn to:
• Create DeepStream pipelines for video processing
• Handle multiple video streams
• Use alternate inference engines like YOLO
Objectives:
• Understand the basics of RAG
• Learn about the RAG retreival process
• Discover NVIDIA AI Foundations and the key components of a RAG model.
6. Building RAG Agents with LLMs
Objectives:
• Explore scalable deployment strategies
• Learn about microservices and development
• Experiment with LangChain paradigms for dialog management
• Practice with state-of-the-art models
7. Accelerate Data Science Workflows with Zero Code Changes
Objectives:
• Learn the benefits of unified CPU and GPU workflows
• GPU-accelerate data processing and machine learning
• See faster processing times with GPU
8. Introduction to AI in the Data Center
Objectives:
- AI, machine learning, deep learning, GPU architecture, deep learning frameworks, and deploying AI workloads.
- Understand requirements for multi-system AI clusters and infrastructure planning.
