{"version":"1.0","type":"stack","id":"07466339-fd88-47f4-a6fe-9b057c9d2bdc","url":"https://stacklist.com/c/technology/stack/jQmnU82zTtTQiXhJIkh1","title":"Master AI & GPU Computing with NVIDIA’s Free Courses","description":"NVIDIA just dropped FREE online courses on AI, data science, and accelerated computing—no payment required! So, if you're a beginner or someone who wants to level up your skills, you can learn at your own pace.\n\nHere are 9 must-take courses you don’t wanna miss: ⬇️","privacy":"public","created_at":"2025-02-15T23:17:45.837Z","updated_at":"2025-05-22T13:08:46.193Z","author":{"username":"martina-ri","name":"Martina Zrnec","url":"https://stacklist.com/martina-ri","type":"person"},"category":{"id":"technology","name":"technology","url":"https://stacklist.com/c/technology"},"items":[{"id":"c7d8ffaf-94b6-4b3a-96d2-eb68be429b95","position":1,"title":"AI for All: From Basics to GenAI Practice | NVIDIA ACADEMY","url":"https://academy.nvidia.com/en/course/ai-for-all-from-basics-to-genai-practice/?cm=81220","note":"Course Duration 2.5 Hours\n\nCourse Objectives:\n· Express how AI is transforming society. \n· Explain terminology and concepts related to AI.\n· Describe the emergence of generative AI applications and their content creation capabilities.\n· Detail the evolution of GPU computing and its contribution to the AI revolution.\n· Try a GenAI application yourself!\n\nWhat will I learn:\nWe begin with an introduction to AI, covering basic concepts and principles. Next, we explore graphical processing units (GPUs) and their crucial role in transitioning AI from concept to reality. The course concludes with a video demo showcasing generative AI (GenAI) in action. \n\nBy the end of the course, you'll be able to understand basic AI concepts and explore GenAI capabilities, such as image generation, on your own.\n","image":{"url":"https://ucarecdn.com/ef0ba4fe-8d5c-41f7-a592-3c0561160d8d/","alt":"AI for All: From Basics to GenAI Practice | NVIDIA ACADEMY","width":1200,"height":630},"direct_link":"https://stacklist.com/card/c7d8ffaf-94b6-4b3a-96d2-eb68be429b95","created_at":"2025-02-15T23:17:58.335Z","updated_at":null},{"id":"7fe35bc9-aa46-48d2-89c2-4f05a315013a","position":2,"title":"Generativr AI Explained | NVIDIA","url":"https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-07+V1","note":"About this Course\nGenerative AI describes technologies that are used to generate new content based on a variety of inputs. In recent time, 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, applications, as well as the challenges and opportunities in this exciting field.\n\nLearning Objectives\nUpon completion, you will have a basic understanding of Generative AI and be able to more effectively use the various tools built on this technology.\n","image":{"url":"https://ucarecdn.com/223a53eb-6bb8-47b3-8c3e-1ea0a52e364a/-/preview/1000x1000","alt":"Generativr AI Explained | NVIDIA","width":1200,"height":630},"direct_link":"https://stacklist.com/card/7fe35bc9-aa46-48d2-89c2-4f05a315013a","created_at":"2025-02-15T23:19:31.857Z","updated_at":null},{"id":"b2a83ee2-1c4c-45c8-ac99-47c42f0dc70b","position":3,"title":"Getting Started with AI on Jetson Nano | NVIDIA","url":"https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-RX-02+V2","note":"About this Course\nThe power of AI is now in the hands of makers, self-taught developers, and embedded technology enthusiasts everywhere with the NVIDIA Jetson developer kits. This easy-to-use, powerful computer lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. In this course, you'll use Jupyter iPython notebooks on your own Jetson to build a deep learning classification project with computer vision models.\n","image":{"url":"https://ucarecdn.com/0b039179-7dce-46b5-b960-d194ee8a65c5/-/crop/1677x1678/87,0/-/preview/","alt":"Getting Started with AI on Jetson Nano | NVIDIA","width":1200,"height":630},"direct_link":"https://stacklist.com/card/b2a83ee2-1c4c-45c8-ac99-47c42f0dc70b","created_at":"2025-02-15T23:20:45.792Z","updated_at":null},{"id":"27e92c37-aeee-4c9d-8b88-68ad0abd6b5e","position":4,"title":"Buidling a Brain in 10 Minutes | NVIDIA","url":"https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+T-FX-01+V1","note":"About this Course\nThis notebook explores the biological and psychological inspirations to the world's first neural networks.\n\nLearning Objectives\nThe goals of this exercise include:\n\nExploring how neural networks use data to learn.\nUnderstanding the math behind a neuron.\n","image":{"url":"https://ucarecdn.com/a258a61e-b221-4245-98f6-7c62f6e3dcab/-/preview/1000x1000","alt":"Buidling a Brain in 10 Minutes | NVIDIA","width":1200,"height":630},"direct_link":"https://stacklist.com/card/27e92c37-aeee-4c9d-8b88-68ad0abd6b5e","created_at":"2025-02-15T23:22:25.647Z","updated_at":null},{"id":"3962baa1-655c-46ab-92a3-eb699911446d","position":5,"title":" Building Video AI Applications on Jetson Nano | NVIDIA","url":"https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-IV-02+V2","note":"About this Course\nAI-based video understanding can unlock insights, whether it’s recognizing a cat in your backyard or optimizing customers’ shopping experiences. The NVIDIA Jetson Nano Developer Kit is an easy-to-use, powerful computer that lets you run multiple neural networks in parallel. This makes it a great platform for an introduction to intelligent video analytics (IVA) applications using the NVIDIA DeepStream SDK. In this course, you'll use JupyterLab notebooks and Python application samples on your Jetson Nano to build new projects that extract meaningful insights from video streams through deep learning video analytics. The techniques you learn from this course can then be applied to your own projects in the future on the Nano or other Jetson platforms at the Edge.\n\nLearning Objectives\nYou'll learn how to:\n\nSet up your Jetson Nano\nBuild end-to-end DeepStream pipelines to convert raw video input into insightful annotated video output\nBuild alternate input and output sources into your pipeline\nConfigure multiple video streams simultaneously\nConfigure alternate inference engines such as YOLO\nUpon completion, you'll be able to build DeepStream applications that annotate video streams from various and multiple sources to identify and classify objects, count objects in a crowded scene, and output the result as a live stream or file.\n","image":{"url":"https://ucarecdn.com/a8e40a43-3124-497b-997b-f613a554484a/-/crop/1499x1500/0,0/-/preview/","alt":" Building Video AI Applications on Jetson Nano | NVIDIA","width":1200,"height":630},"direct_link":"https://stacklist.com/card/3962baa1-655c-46ab-92a3-eb699911446d","created_at":"2025-02-15T23:23:46.891Z","updated_at":null},{"id":"a4cb25c2-601e-4faa-a3a2-3fb9bfd5d339","position":6,"title":" Building RAG Agents with LLMs | NVIDIA","url":"https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-15+V1","note":"About this Course\nThis course is free for a limited time.\n\nThe 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.\n\nLearning Objectives\nThe goal of the course is to teach participants how to:\n\nCompose an LLM system that can interact predictably with a user by leveraging internal and external reasoning components.\nDesign a dialog management and document reasoning system that maintains state and coerces information into structured formats.\nLeverage embedding models for efficient similarity queries for content retrieval and dialog guardrailing.\nImplement, modularize, and evaluate a RAG agent that can answer questions about the research papers in its dataset without any fine-tuning.\nBy the end of this workshop, participants will have a solid understanding of RAG agents and the tools necessary to develop their own LLM applications.\n","image":{"url":"https://ucarecdn.com/92659074-05c5-4199-bfab-554dfb3944df/-/crop/1652x1654/0,0/-/preview/","alt":" Building RAG Agents with LLMs | NVIDIA","width":1200,"height":630},"direct_link":"https://stacklist.com/card/a4cb25c2-601e-4faa-a3a2-3fb9bfd5d339","created_at":"2025-02-15T23:24:55.268Z","updated_at":null},{"id":"e1a17b6f-7954-4f99-8e48-746ce47024fd","position":7,"title":" Accelerate Data Science Workflows with Zero Code Changes | NVIDIA","url":"https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+T-DS-03+V1","note":"About this Course\nAcross industries, modern data science requires large amounts of data to be processed quickly and efficiently. These workloads need to be accelerated to ensure prompt results and increase overall productivity. NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes.\n\nLearning Objectives\nIn this course, you’ll learn to use RAPIDS to speed up your CPU-based data science workflows.\n\nBy participating in this workshop, you’ll :\nUnderstand the benefits of a unified workflow across CPUs and GPUs for data science tasks.\nLearn how to GPU-accelerate various data processing and machine learning workflows with zero code changes.\nExperience the significant reduction in processing time when workflows are GPU-accelerated.\n","image":{"url":"https://ucarecdn.com/09a098e9-8546-48b1-a9cc-6fffa235cdee/-/crop/1262x1262/28,0/-/preview/","alt":" Accelerate Data Science Workflows with Zero Code Changes | NVIDIA","width":1200,"height":630},"direct_link":"https://stacklist.com/card/e1a17b6f-7954-4f99-8e48-746ce47024fd","created_at":"2025-02-15T23:25:58.781Z","updated_at":null},{"id":"1234c1d8-addb-4e42-87e9-68afbcd44e3e","position":8,"title":"AI Infrastructure & Ops Basics: Intro to AI NVIDIA Training","url":"https://www.coursera.org/learn/ai-infrastructure-operations-fundamentals","note":"What You'll Learn:\nExplore diverse applications of AI across various industries.\nUnderstand concepts like Machine Learning, Deep Leaning, training and inference.\nTrace the evolution of AI Technologies. From its inception to the revolutionary advances brought by Generative AI, and the role of GPUs.\nYou will become familiar with deep learning frameworks and AI software stack.\nLearn about considerations when deploying AI workloads on a data center on prem, in the cloud, on a hybrid model, or on a multi-cloud environment.\n","image":{"url":"https://ucarecdn.com/58655e93-6515-46e8-b315-29acdcbcf45a/-/crop/920x920/0,0/-/preview/","alt":"AI Infrastructure & Ops Basics: Intro to AI NVIDIA Training","width":1200,"height":630},"direct_link":"https://stacklist.com/card/1234c1d8-addb-4e42-87e9-68afbcd44e3e","created_at":"2025-02-15T23:27:00.641Z","updated_at":null}],"stats":{"likes_count":1,"items_count":8},"_links":{"self":"/api/public/stack/jQmnU82zTtTQiXhJIkh1.json","html":"https://stacklist.com/c/technology/stack/jQmnU82zTtTQiXhJIkh1","rss":"/api/feeds/stack/jQmnU82zTtTQiXhJIkh1/rss","json_feed":"/api/feeds/stack/jQmnU82zTtTQiXhJIkh1/json"}}