NVIDIA is at the forefront of artificial intelligence (AI) innovation, and as we approach 2024, the company continues an array of Free AI Courses by NVIDIA. These courses are designed to cater to learners of all levels—from beginners eager to understand the fundamentals of AI to experienced professionals looking to enhance their skills in cutting-edge technologies.
The Free AI Courses by NVIDIA provide a unique opportunity for individuals to gain valuable knowledge without any financial burden. With topics ranging from deep learning and generative AI to practical applications in video processing and edge computing, these courses are tailored to meet the demands of today’s technology-driven landscape.
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By enrolling in these courses, you can benefit from NVIDIA’s expertise in AI, which is backed by years of research and development in the field. The self-paced format allows learners to study at their convenience, making it easier to balance education with other commitments. Whether you’re a student aiming to boost your resume or a professional seeking to stay relevant in a rapidly evolving industry, NVIDIA’s free courses can significantly enhance your career prospects.
1. Building RAG Agents for LLMs for Free AI Courses by NVIDIA
Agents powered by large language models (LLMs) have shown great retrieval capability for using tools, looking at documents, and plan their approaches. This course will show you how to deploy an agent system in practice with the flexibility to scale up your system to meet the demands of users and customers.
Course Outline
- Introduction to the workshop and setting up the environment.
- Exploration of LLM inference interfaces and microservices.
- Designing LLM pipelines using LangChain, Gradio, and LangServe.
- Managing dialogue states and integrating knowledge extraction.
- Strategies for working with long-form documents.
- Utilizing embeddings for semantic similarity and guardrailing.
- Implementing vector stores for efficient document retrieval.
- Evaluation, assessment, and certification.
Course link – Building RAG Agents LLMs
2. Accelerate Data Science Workflows with Zero Code Changes
In this course, you’ll learn to use RAPIDS to speed up your CPU-based data science workflows.
Course Outline
- Understand the benefits of a unified workflow across CPUs and GPUs for data science tasks.
- Learn how to GPU-accelerate various data processing and machine learning workflows with zero code changes.
- Experience a significant reduction in processing time when workflows are GPU-accelerated.
Course Link – Accelerate Science Worlflows with Zero Changes
3. Introduction to DOCA for DPUs
In this self-paced course, participants will learn the basic concepts of DOCA as a platform for accelerated data center computing on BlueField DPUs.
Learning Objectives
Learn the basics of DOCA and DPUs to enable the development of applications that accelerate data center services by:Conceptualizing DOCA as a Platform for Accelerated Data Center Computing on DPUsVisualizing the DOCA Framework ParadigmStudying BlueField DPU Specifications and Capabilities.Exploring Sample DOCA Applications Under Different ConfigurationsDiscovering Opportunities to Apply DPU Accelerated Computation
Upon completion, participants will be equipped with a set of introductory knowledge that will enable them to begin using DOCA and DPUs to develop applications that accelerate their data centers services.
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Course Outline
There are five modules in this training:
- DOC Demystified
- Introducing BlueField DPUs
- Setting Up a BlueField-2 DPU
- DOC Development Environments
- Applying DPU Acceleration Using DOCA
Course Link – Introduction to DOCA for DPUs
4. Digital Fingerprinting with Morpheus for Free AI Courses by NVIDIA
In this course you will get hands-on experience developing and deploying the NVIDIA digital fingerprinting AI workflow that enables 100 percent data visibility and drastically reduces the time to detect threats. You’ll also hear from cybersecurity experts from a variety of institutions about how to use NVIDIA AI frameworks and tools to architect cybersecurity solutions.
Learning Objectives
- Gain a conceptual understanding of using NVIDIA Morpheus for sensitive information detection
- Use NVIDIA Morpheus to perform sensitive information detection
- Learn from cybersecurity industry experts about their experience using NVIDIA Morpheus
Course Link – Digital Fingerprinting with Morpheus
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5. Building A Brain in 10 Minutes for Free AI Courses by NVIDIA
This notebook explores the biological and psychological inspirations to the world’s first neural networks.
Learning Objectives
The goals of this exercise include:
- Exploring how neural networks use data to learn.
- Understanding the math behind a neuron.
Course Outline
- Data
- Building a Neuron
- Initiate Training
- Evaluating the Model
Course Link – Building in 10 Minutes
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