you become more proficient in AI by 2025.
1. Create Cutting-Edge Video AI Applications
Imagine using inexpensive hardware to transform video streams into insightful knowledge. You can learn how to develop real-time video analytics systems by enrolling in the 8-hour Building Video AI Applications at the Edge on Jetson Nano course. To process video streams, integrate webcams, and use models like YOLO for object detection, you'll need the NVIDIA Jetson Nano and DeepStream SDK. Basic knowledge of Linux and Python is required for this intermediate course, along with a Jetson Nano kit. You'll be prepared to take on applications like autonomous robotics or smart surveillance by the end. To demonstrate your proficiency with edge AI, enroll by February 4, 2025, at learn.nvidia.com and receive a certificate.
https://learn.nvidia.com/en-us/training/self-paced-courses
2. Get Started with AI on Jetson Nano
Your first step toward edge AI is the 8-hour Getting Started with AI on Jetson Nano course. It walks you through configuring the Jetson Nano Developer Kit and creating deep learning models for tasks like image classification and speech processing, making it ideal for novices with rudimentary Python knowledge. You'll discover how to gather data, develop models, and use them for inference in real time. It's engaging and requires a Jetson Nano, power supply, microSD card, and webcam. For developers and enthusiasts who are keen to investigate AI on small devices, this course is perfect. To improve your resume, register at learn.nvidia.com and obtain a certificate.
https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-RX-02+V2
3. Master Digital Fingerprinting for Cybersecurity
The one-hour Digital Fingerprinting with NVIDIA Morpheus course introduces you to AI-driven threat detection, which is essential in today's digital world. This introductory course examines NVIDIA's Morpheus framework and teaches you how to analyze data patterns to create digital fingerprints that can be used to detect and reduce cyberthreats. All you need is a computer and some curiosity; no special hardware is required. You will acquire useful skills to improve data security in just one hour, and you will receive a certificate to prove your understanding. Start protecting systems more intelligently by taking a look at it on NVIDIA's training portal.
https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+T-DS-02+V2
4. Dive into GPU Programming with CUDA
Do you want to use NVIDIA GPUs to their full potential? For novices, the two-hour An Even Easier Introduction to CUDA course is ideal. In order to efficiently process big datasets, you will learn the fundamentals of CUDA, NVIDIA's parallel computing platform, and write parallel kernels. You will learn how CUDA speeds up tasks like training large language models through practical coding. For those interested in AI and data science, this course is an excellent place to start because it requires no prior knowledge of GPU programming. Add a CUDA certificate to your skill set by enrolling at learn.nvidia.com.
https://learn.nvidia.com/en-us/training/self-paced-courses
5. Create Advanced RAG Agents for LLMs
For developers who want to create complex AI systems, the 8-hour Building RAG Agents with LLMs course is essential. This intermediate course explores Retrieval-Augmented Generation (RAG) and teaches you how to use Gradio, LangChain, and LangServe to build scalable LLM pipelines. With practical labs to create real-world applications, you will learn how to coordinate RAG agents for tasks like document retrieval and conversational AI. It is advised to have some basic knowledge of PyTorch and Python. This course offers a certificate to demonstrate your proficiency in cutting-edge AI and is only available for a short period of time at courses.nvidia.com.
https://learn.nvidia.com/en-us/training/self-paced-courses
6. Enhance LLMs with Retrieval-Augmented Generation
The goal of the two-hour Augment Your LLMs with Retrieval-Augmented Generation (RAG) course is to enhance large language models through the incorporation of external data. Learn how to create pipelines that lower LLM inaccuracies, investigate RAG's retrieval process, and use it for tasks like answering questions. Basic knowledge of Python and PyTorch is required for this intermediate course; however, sophisticated hardware is not. For developers who want to increase the dependability and context awareness of LLMs, it's ideal. To improve your AI projects and obtain a certificate, sign up at courses.nvidia.com.
https://learn.nvidia.com/en-us/training/self-paced-courses
7. Explain Generative AI
Are you new to AI? A no-code introduction to the field of generative AI is provided by the two-hour Generative AI Explained course. Discover how AI produces text, images, and videos, as well as how it can be used in gaming, healthcare, and other fields. Using interesting videos and slides, this approachable course discusses opportunities, challenges, and ethical issues. It is perfect for anyone interested in the potential of AI because no technical knowledge is required. To begin your AI journey, register at courses.nvidia.com and obtain a certificate.
https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-07+V1
Why Choose NVIDIA’s Free Courses?
NVIDIA's courses are notable for their accessibility, practical focus, and expert-led content. There are practical labs, real-world applications, and certifications to advance your career as a developer, regardless of experience level. While Jetson Nano courses require specific hardware, the majority of courses only require a computer with internet access. NVIDIA's DLI is a treasure trove for learning cutting-edge technologies like edge AI, cybersecurity, and generative AI, and it will offer 18 free AI courses in 2025.
How to Get Started
- Create a free DLI account by going to learn.nvidia.com.
- Choose the course you want to take by looking through the free course catalog.
- Acquire credentials to display on resumes or LinkedIn while learning at your own speed.
Don't pass up this opportunity to learn AI with NVIDIA's free courses. These courses give you the skills you need to stay ahead in the AI-driven world of 2025, whether you're developing video analytics, protecting data, or improving LLMs. Start your path to becoming an AI innovator by enrolling today!