NVIDIA Releases FREE Online Courses on AI

NVIDIA has released a series of free online courses on AI, covering a wide range of topics from generative AI to data science workflows. Here are the courses along with their details and links:

1. Generative AI Explained

• Learn how to define Generative AI, explain how it works, describe its applications, and understand its challenges and opportunities.
• Generative AI Explained

1. AI for All: From Basics to GenAI Practice

– Explore AI’s impact on industries like healthcare and autonomous vehicles, and learn about machine learning and generative AI.
– AI for All: From Basics to GenAI Practice

3. Getting Started with AI on Jetson Nano

• Learn how to set up your Jetson Nano, collect and annotate image data, and train neural networks.
• Getting Started with AI on Jetson Nano

4. Building A Brain in 10 Minutes

• Understand how neural networks use data to learn and the math behind a neuron.
• Building A Brain in 10 Minutes

5. Building Video AI Applications on Jetson Nano

• Learn to create DeepStream pipelines, handle multiple video streams, and use inference engines like YOLO.
• Building Video AI Applications on Jetson Nano

6. Building RAG Agents with LLMs

• Explore scalable deployment strategies, microservices, and LangChain paradigms for dialog management.
• Building RAG Agents with LLMs

1. Accelerate Data Science Workflows with Zero Code Changes

– Learn about unified CPU and GPU workflows, GPU-accelerated data processing, and faster processing times.
– Accelerate Data Science Workflows with Zero Code Changes

8. to AI in the Data Center

• Understand the basics of AI, machine learning, GPU architecture, and deep learning frameworks.
• to AI in the Data Center

What Undercode Say

The release of these free NVIDIA courses is a significant opportunity for anyone interested in AI, machine learning, and data science. These courses cover a broad spectrum of topics, from the fundamentals of AI to advanced applications like building neural networks and deploying AI in data centers. Here are some practical commands and codes to get you started:

• Setting up Jetson Nano:

  sudo apt-get update
  sudo apt-get install python3-pip
  pip3 install jetson-inference
  

• Training a Neural Network:

  import tensorflow as tf
  model = tf.keras.Sequential([
  tf.keras.layers.Dense(128, activation='relu'),
  tf.keras.layers.Dense(10)
  ])
  model.compile(optimizer='adam', loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), metrics=['accuracy'])
  model.fit(train_images, train_labels, epochs=10)
  

• GPU-Accelerated Data Processing:

  import cupy as cp
  x = cp.arange(10)
  y = cp.sin(x)
  print(y)
  

• DeepStream Pipeline:

  gst-launch-1.0 filesrc location=video.mp4 ! decodebin ! nvvideoconvert ! nvdsosd ! nveglglessink
  

These commands and codes are just the tip of the iceberg. The NVIDIA courses will provide you with a deeper understanding and hands-on experience in AI and machine learning. Make sure to take advantage of these resources to enhance your skills and stay ahead in the rapidly evolving field of AI.

For more information and to enroll in these courses, visit the official NVIDIA links provided above. Happy learning!

References:

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