NVIDIA Deep Learning Institute (DLI) Courses and Certifications

Written by Coursera Staff • Updated on

Explore learning options from the NVIDIA Deep Learning Institute, where you can earn certifications and take self-paced courses to grow your artificial intelligence skills.

[Featured Image] An aspiring AI professional sits at a laptop in a library and takes a course from the NVIDIA Deep Learning Institute.

Key takeaways

The NVIDIA Deep Learning Institute offers training opportunities to help you prepare for a career in various artificial intelligence (AI) disciplines. Here are some important facts to know:

  • According to Stanford’s 2025 AI Index Report, 78 percent of organizations reported using AI in 2024, which is a 55 percent increase from 2023 [1].

  • The Deep Learning Institute provides opportunities to take self-paced courses and earn certifications.

  • You can use the NVIDIA DLI to learn to develop applications for data science, robotics, deep learning, and more.

Explore the NVIDIA Deep Learning Institute’s offerings and how you can leverage them to grow your skills and knowledge in key areas of AI. If you’re ready to start working toward a career in AI, consider earning the IBM AI Engineering Professional Certificate. You’ll have the opportunity to gain skills in areas such as supervised and unsupervised learning, large language models (LLMs), and natural language processing (NLP) in as little as four months. Upon completion, you’ll earn a career certificate to showcase to potential employers.

What is the NVIDIA Deep Learning Institute?

The NVIDIA Deep Learning Institute is a platform where you can learn how to build infrastructure for industries such as manufacturing, data science, robotics, advanced networking, and health care using deep learning tools and accelerated computing. You can use the DLI’s training to learn to deploy powerful neural networks and computing applications in your organization. 

The NVIDIA DLI offers two different learning options: online courses and instructor-led workshops. 

With online courses from the DLI, you can move at your own pace, and they come in two or eight-hour formats. The two-hour online courses cover how to apply a specific technique or technology, while the eight-hour courses are project-based and offer a certificate after completing an assessment. 

Instructor-led workshops, taught by industry experts, are accessible through a virtual classroom. In these workshops, you’ll gain the opportunity to learn how to develop a complete deep learning project in one day and earn a certificate for successful completion.

What is deep learning?

Deep learning is a type of machine learning that relies on thousands of layers of neural networks to learn to make decisions similar to the human brain. The large number of neural network layers is what differentiates deep learning from traditional machine learning, giving deep learning models the ability to handle more data and solve highly complex problems.

Why DLI matters for AI and deep learning careers

The DLI is a valuable option for AI and deep learning careers because it provides an opportunity to gain experience with using the most prevalent tools in the industry, based on the latest trends, directly from highly knowledgeable professionals. Additionally, DLI training helps build expertise in real-world scenarios thanks to partnerships with organizations at the top of their respective industries, like the Mayo Clinic and PwC. The DLI also offers access to GPU-accelerated servers on the cloud as part of your training, providing the opportunity to gain practical experience with training and implementing neural networks. 

Certification and career advantages

Upon completing NVIDIA DLI training, you can earn NVIDIA Deep Learning Institute certifications, as well as course completion certificates that can help you progress in your career by demonstrating your abilities in specific areas. You can earn the NVIDIA Certified Associate or NVIDIA Certified Professional Certifications. The NVIDIA Certified Associate Certifications are entry-level credentials that validate foundational concepts, while NVIDIA Certified Professional Certifications are for intermediate-level learners with experience in implementing AI systems and infrastructure. Subject areas you can earn certifications in include:

  • AI infrastructure 

  • AI operations

  • Generative AI and large language models

  • Accelerated data science

  • Multimodal generative AI models

  • OpenUSD development

  • AI networking

Earning a certification can be a meaningful step forward in your career, as it comes with numerous benefits, such as showing employers your dedication to learning and growing in your field while actively gaining new skills to help you excel at your job, giving yourself a way to stand out among other job candidates. With 78 percent of organizations reporting using AI in 2024, now might be a great time to look at earning a relevant certification to enhance your AI skills, such as one from the NVIDIA Deep Learning Institute [1].

DLI workshops 

You can learn remotely through the Deep Learning Institute’s workshops, led by DLI-certified instructors. These instructors are experts in their domain, ensuring you gain valuable technical knowledge that you can apply to the work you’re doing in your industry. 

Workshops are available for you to join as an individual or with your entire team for organizations looking to upskill their staff. The Deep Learning Institute’s Enterprise Solutions are a great option for organizations that want to build AI skills throughout their workforce. With DLI Enterprise Solutions, you can build a customizable package consisting of workshops and self-paced courses with the help of DLI training advisors to find the right learning methods for your organization's needs.

NVIDIA Deep Learning Institute free courses

If you’re just getting started and are looking for an introduction to technological concepts before taking more advanced courses, you can access many of the DLI’s highest-rated courses for free. When exploring the NVIDIA DLI catalog, you can filter your search to find free, self-paced learning options, some of which even offer a certificate upon completion. Some free courses you can explore include the Building RAG Agents with LLMs course and the no-coding Generative AI Explained course.

How to get started with NVIDIA Deep Learning Institute programs

To start with NVIDIA Deep Learning Institute programs, consider taking one of the DLI’s free courses, which provide beginner-level content that you can complete in less than a day. You can explore different learning paths and the recommended courses for each to discover areas of interest, such as generative AI and large language models, robotics fundamentals, industrial digital twins, and more. If you already have experience with NVIDIA AI infrastructure, then you may be ready to pursue an NVIDIA Certified Professional Certification.

Explore free resources for your AI career journey

Interested in learning more about AI and deep learning? Get the latest industry trends and career insights by subscribing to our LinkedIn newsletter, Career Chat. Or if you’re interested in discovering more about AI careers, skills, and concepts, check out these resources:

Whether you want to develop a new skill or get comfortable with an in-demand technology, keep growing with a Coursera Plus subscription, where you can gain access to over 10,000 flexible courses. 

Article sources

  1. Stanford Human-Centered Artificial Intelligence. “The 2025 AI Index Report, https://hai.stanford.edu/ai-index/2025-ai-index-report.” Accessed October 10, 2025.

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