Top Free NVIDIA AI Courses to Boost Your Skills in 2025

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NVIDIA, a global leader in hardware innovation, offers more than just cutting-edge GPUs. The company has curated a diverse range of free courses to help enthusiasts and professionals explore topics like generative AI, robotics, GPU acceleration, and more. The best part? These courses are free and can often be completed in less than a day. Below, we delve into the top offerings for 2025.


1. Building RAG Agents for LLMs

📚 This free course explores the transformative impact of large language models (LLMs) and retrieval-based systems. Designed for those aiming to enhance productivity, it focuses on practical deployment and advanced orchestration techniques, including internal reasoning, dialog management, and tooling strategies. By the end, participants will build LLM systems capable of predictable user interactions.

Course Highlights:

  • 🛠️ Understand retrieval-based systems.
  • 🔍 Learn advanced orchestration techniques.
  • 🚀 Deploy practical LLM systems.

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2. Accelerating Data Science Workflows with Zero Code Changes

⚡ Efficient data analysis is pivotal for industries like software, finance, and retail. This course showcases how GPUs can revolutionize workflows, enabling faster insights and better decisions. Using RAPIDS™-accelerated libraries, participants will explore GPU-powered machine learning algorithms.

Course Highlights:

  • 🔄 Build GPU-accelerated data workflows.
  • 📈 Apply algorithms like XGBoost, cuGraph, and cuML.
  • 🏭 Enhance production deployment.

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3. Generative AI Explained

🌐 Perfect for beginners, this course introduces the fundamentals of generative AI. It covers applications, challenges, and the prospects of creating content from diverse inputs. A basic understanding of machine learning is all you need to get started.

Course Highlights:

  • 🤖 Define generative AI and its applications.
  • 🧩 Explore challenges and opportunities.
  • 🎓 No prerequisites required.

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4. Digital Fingerprinting with Morpheus

🔒 This one-hour tutorial covers NVIDIA’s digital fingerprinting AI workflow for enhancing data visibility and reducing threat detection times. Participants will gain hands-on experience with the Morpheus AI Framework and NVIDIA Triton Inference Server.

Course Highlights:

  • 🔍 Learn about data processing and classification.
  • 🚀 Accelerate AI applications using GPUs.
  • 🎓 No prerequisites required.

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5. Building a Brain in 10 Minutes

🧠 Dive into the basics of neural networks with insights drawn from biology and psychology. This course focuses on how networks learn from data and the underlying mathematical principles. Familiarity with Python programming is recommended.

Course Highlights:

  • 🧬 Understand neuron functionality.
  • 📊 Learn regression and data learning principles.
  • 🖥️ Hands-on coding exercises included.

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6. An Introduction to CUDA

🔧 Master the fundamentals of CUDA programming and learn to execute highly parallel kernels on NVIDIA GPUs. This course also teaches memory management and performance optimization techniques.

Course Highlights:

  • 🌀 Launch and manage parallel CUDA kernels.
  • 🛠️ Optimize memory transfers.
  • 📊 Use profiling tools to analyze code performance.

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7. Augment Your LLM Using RAG

🔗 Retrieval Augmented Generation (RAG) combines real-time, domain-specific data with LLM outputs. This course explains RAG’s retrieval mechanism and its integration into NVIDIA’s AI frameworks.

Course Highlights:

  • 💡 Learn RAG fundamentals.
  • 🔗 Integrate retrieval modules with response generators.
  • 🖥️ Explore NVIDIA’s AI Foundations framework.

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8. Getting Started with AI on Jetson Nano

🖥️ This beginner-friendly course empowers developers to utilize the Jetson Nano Developer Kit for AI applications. Participants will build deep learning models using Jupyter iPython notebooks.

Course Highlights:

  • 📷 Develop AI models for image and speech processing.
  • 🔄 Execute multiple neural networks simultaneously.
  • 🛠️ Hands-on project using Jetson Nano.

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9. Building Video AI Applications at the Edge on Jetson Nano

🎥 Learn AI-based video analytics using the NVIDIA DeepStream SDK. This course offers practical exercises for setting up DeepStream pipelines and integrating video streams.

Course Highlights:

  • 📹 Explore intelligent video analytics.
  • 🛠️ Build end-to-end DeepStream pipelines.
  • 🔍 Leverage alternate inference engines like YOLO.

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10. Build Custom 3D Scene Manipulator Tools on NVIDIA Omniverse

🖼️ Extend 3D tools using the Omniverse platform. This course introduces Python-based workflows for creating custom manipulator tools.

Course Highlights:

  • 🌌 Navigate the USD stage hierarchy.
  • 🛠️ Create and fix widget manipulators.
  • 🚀 Explore advanced Omniverse applications.

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11. Getting Started with USD for Collaborative 3D Workflows

📐 In this self-paced course, participants will delve into the creation of scenes using human-readable Universal Scene Description ASCII (USDA) files.

The program is divided into two sections: USD Fundamentals, introducing OpenUSD without programming, and Advanced USD, using Python to generate USD files.

Course Highlights:

  • 📂 Learn OpenUSD scene structures.
  • 🔧 Gain hands-on experience with OpenUSD Composition Arcs.
  • 🎨 Create diverse asset states using Variants.

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12. Assemble a Simple Robot in Isaac Sim

🤖 This course offers a practical tutorial on assembling a basic two-wheel mobile robot using the ‘Assemble a Simple Robot’ guide within the Isaac Sim GPU platform.

Course Highlights:

  • 🔌 Connect a local streaming client to an Omniverse Isaac Sim server.
  • 🛠️ Configure joint drives and properties for robot movement.
  • 🚦 Add articulations to the robot for enhanced simulations.

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13. How to Build Open USD Applications for Industrial Twins

🏭 This course introduces the basics of the Omniverse development platform for creating 3D applications and tools to support industrial workflows.

Course Highlights:

  • 🔨 Build applications from a kit template.
  • 🛠️ Customize and expand application functionality.
  • 🌐 Review workflows for large facilities like factories and warehouses.

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14. Disaster Risk Monitoring Using Satellite Imagery

🛰️ Created in collaboration with the United Nations Satellite Centre, this course focuses on using deep learning models for automated flood detection via satellite imagery.

Course Highlights:

  • 🌊 Execute machine learning workflows for disaster management.
  • 🛠️ Process large satellite imagery data.
  • 🔍 Deploy models for near real-time flood event analysis.

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15. Introduction to AI in the Data Center

🏢 This course explores AI use cases and workflows in data centres, covering the architecture and history of GPUs. Designed for IT professionals, it offers insights into infrastructure planning for AI workloads.

Course Highlights:

  • 🧠 Learn about machine learning and deep learning workflows.
  • 🔌 Explore infrastructure considerations for AI deployment.
  • 📊 Gain beginner-friendly insights into GPU applications.

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16. Fundamentals of Working with Open USD

🌍 This course covers foundational concepts of Universal Scene Description (OpenUSD) for efficient 3D environment creation and collaboration.

Course Highlights:

  • 🖼️ Use USD for non-destructive workflows.
  • 📂 Explore layering and composition essentials.
  • 🔧 Learn model hierarchy principles for efficient scene structuring.

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17. Introduction to Physics-Informed Machine Learning with Modulus

🔬 NVIDIA Modulus tackles challenges in high-fidelity simulations by creating deep learning models up to 100,000 times faster than traditional methods.

Course Highlights:

  • ⚙️ Integrate Modulus with the Omniverse Platform.
  • 📊 Address data-driven and physics-driven problems.
  • 🔍 Explore multi-physics simulation challenges.

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18. Introduction to DOCA for DPUs

📡 The DOCA Software Framework enables rapid application development, transforming networking, security, and storage performance.

Course Highlights:

  • 🖥️ Learn DOCA fundamentals for accelerated computing on DPUs.
  • 📊 Explore BlueField DPU specifications.
  • 🔧 Kickstart application development for data centres.

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These free courses by NVIDIA offer unparalleled opportunities to expand your expertise in AI, robotics, GPU acceleration, and more. With diverse topics and practical learning formats, there’s something for everyone. Start your journey today!

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