Artificial intelligence (AI) is rapidly transforming our world, and now’s the perfect time to embark on your own AI learning journey. The good news? You don’t need a hefty budget to get started. NVIDIA free online AI courses that cater to all skill levels!
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About the NVIDIA
Nvidia Corporation is an American multinational corporation and technology company headquartered in Santa Clara, California, and incorporated in Delaware. It is a software and fabless company that designs and supplies graphics processing units (GPUs), application programming interfaces (APIs) for data science and high-performance computing as well as system-on-a-chip units (SoCs) for the mobile computing and automotive market. Nvidia is also a dominant supplier of artificial intelligence (AI) hardware and software.
Nvidia’s professional line of GPUs is used for edge-to-cloud computing and in supercomputers and workstations for applications in such fields as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design. Its GeForce line of GPUs is aimed at the consumer market and is used in applications such as video editing, 3D rendering and PC gaming. In the second quarter of 2023, Nvidia had a market share of 80.2% in the discrete desktop GPU market. The company expanded its presence in the gaming industry with the introduction of the Shield Portable (a handheld game console), Shield Tablet (a gaming tablet) and Shield TV (a digital media player), as well as its cloud gaming service GeForce Now.
In addition to GPU design and manufacturing, Nvidia provides the CUDA software platform and API that allows the creation of massively parallel programs that utilize GPUs. They are deployed in supercomputing sites around the world. In the late 2000s, Nvidia had moved into the mobile computing market, where it produces Tegra mobile processors for smartphones and tablets as well as vehicle navigation and entertainment systems. Its competitors include AMD, Intel, Qualcomm[20] and AI accelerator companies such as Cerebras and Graphcore. It also makes AI-powered software for audio and video processing, e.g. Nvidia Maxine.
Eligibility Criteria
The NVIDIA Free Online AI Courses for Everyone.
Here Are NVIDIA Free Online AI Courses
1. Generative AI Explained
Generative AI describes technologies that are used to generate new content based on a variety of inputs. In recent times, Generative AI involves the use of neural networks to identify patterns and structures within existing data to generate new content. In this course, you will learn Generative AI concepts, and applications, as well as the challenges and opportunities in this exciting field.
Course Link Click Here
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2. Building A Brain in 10 Minutes
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.
Topics Covered
AI Data
Neurons
TensorFlow 2
Course Outline
Data
Building a Neuron
Initiate Training
Evaluating the Model
Course Link Click Here
3. Augment Your LLMs Using Retrieval Augmented Generation
This course introduces a workflow that we believe is representative of where you should start. It will save you time in having to try and go through all the permutations and decisions you would otherwise make about vector databases, embedding models, and LLMs. In this introduction we provide a starting point using components we at NVIDIA have used internally including popular Open Source Software frameworks.
Course Link Click Here
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4. Building RAG Agents with LLMs
The evolution and adoption of large language models (LLMs) have been nothing short of revolutionary, with retrieval-based systems at the forefront of this technological leap. These models are not just tools for automation; they are partners in enhancing productivity, capable of holding informed conversations by interacting with a vast array of tools and documents. This course is designed for those eager to explore the potential of these systems, focusing on practical deployment and the efficient implementation required to manage the considerable demands of both users and deep learning models. As we delve into the intricacies of LLMs, participants will gain insights into advanced orchestration techniques that include internal reasoning, dialog management, and effective tooling strategies.
Learning Objectives
Compose an LLM system that can interact predictably with a user by leveraging internal and external reasoning components.
Design a dialog management and document reasoning system that maintains state and coerces information into structured formats.
Leverage embedding models for efficient similarity queries for content retrieval and dialog guardrailing.
Implement, modularize, and evaluate a RAG agent that can answer questions about the research papers in its dataset without any fine-tuning.
Topics Covered
The workshop includes topics such as LLM Inference Interfaces, Pipeline Design with LangChain, Gradio, and LangServe, Dialog Management with Running States, Working with Documents, Embeddings for Semantic Similarity and Guardrailing, and Vector Stores for RAG Agents. Each of these sections is designed to equip participants with the knowledge and skills necessary to develop and deploy advanced LLM systems effectively.
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 dialog 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 Click Here
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FAQ
What are NVIDIA Free Online AI Courses?
Offered by the NVIDIA Deep Learning Institute (DLI), these courses provide a comprehensive introduction to the exciting world of Artificial Intelligence (AI). They cover a wide range of topics, from foundational concepts to advanced techniques, all completely free of charge.
Who are these NVIDIA Free Online AI courses for
NVIDIA Free Online AI Courses cater to a broad audience!
Beginners: If you’re new to AI and have little to no technical background, introductory courses will equip you with the essential building blocks.
Intermediate Learners: Already have some AI knowledge? DLI offers courses that delve deeper into specific areas like deep learning or computer vision.
Experienced Programmers: Want to sharpen your AI skillset? Advanced courses explore cutting-edge applications and techniques.
What kind of NVIDIA Free Online AI courses are available?
The course library is quite diverse, offering something for everyone. Here are some examples:
Generative AI Explained: Learn how AI can create entirely new content!
Building a Brain in 10 Minutes: Gain a simplified understanding of how neural networks function.
Building Video AI Applications at the Edge: Discover how AI can be used for real-time video processing.
Are there any prerequisites for these NVIDIA Free Online AI courses?
Prerequisites vary depending on the course. Some require basic computer programming knowledge, while others are designed for complete beginners. Always check the course description for specific requirements.
