Nvidia’s Deep Learning Institute (DLI) is offering free credits aimed at enhancing AI skills, but there are some caveats. To begin with, you must work for a startup.
That said, its definition of a startup is quite generous; the company must have been established and incorporated within the last ten years.
A company email and website is also required, and your organization must employ at least one developer.
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This initiative is part of the company’s broader commitment to nurturing startups through its Nvidia Inception program, which is designed to help emerging companies evolve with access to its latest technical resources, and even provides opportunities to connect with venture capitalists.
Startups can join Nvidia Inception even if they don’t use its GPUs or SDKs, but no doubt the organization is betting on you clocking opportunities for using its products as you learn.
And considering the amount of detail you must include in your application, it would be surprising if Nvidia’s sales team didn’t outreach to members as potential customers or partners too.
Making an application to the Inception program takes about 30 minutes, where you’ll need to input details like funding stages, company mission statement, key competitors, and then you’ll need to allow two weeks for your application to be reviewed.
Approved members receive free technical training, opportunities for co-marketing and customer introductions, engineering guidance, and exposure to a community of venture capitals.
What you can learn
Once you join the program, you have access to a repository of tools and training to develop your skills, and help you build GPU-accelerated applications.
There are no limits to the free credits, and there are a number of prongs to the Nvidia Deep Learning Institute.
First, there are educator programs, which are designed to give students hands-on experience in areas like deep learning, accelerated computing and robotics.
There’s also access to technical documentation and blogs, with the latest information and documentation on products, libraries and APIs.
But perhaps most interestingly, membership to the Inception program includes credits to the institute’s Nvidia on-demand platform, which offers a vast library of technical webinars, GTC sessions, research, demonstrations and more, all of which you complete at your own speed.
There’s a lot there, and you can filter the resources by the industry you work in, and the topic — such as AI models and deployment, AR/VR, computer vision/video analytics, content creation/rendering/ray tracing and accelerated computing tools and techniques.
You can also filter by level, so whether you’re at 101/Getting Started, Advanced Technical or a Business/Executive, you can ensure the resources are pitched appropriately for your needs, and knowledge base.
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You can also choose from different formats, where there is a long list of options including talks, tutorials, panels, demos, DLI Training Lab, fireside chat and startup showcase.
This year alone, 76 educational pieces have been uploaded to the institute, from the inspirational to the specific.
So whether you’re interested in hearing Nvidia founder and CEO Jensen Huang deliver a keynote speech on the future of the AI ecosystem, or want to get more granular and learn how to use Jupyter notebook and integrate APIs with multi-camera tracking applications, there’ll be something there for you.
According to Pluralsight’s 2024 Technical Skills Report, interest in developing AI/ML skills has increased 11% from last year among technologists, and it’s on the minds of tech leadership too.
A new Microsoft report reveals that two-thirds of leaders wouldn’t hire someone without AI skills.
So, if you’re looking to future-proof your career prospects, it’s time to make time for AI upskilling.
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