Nvidia was founded in April 1993 by Jensen Huang, Chris Malachowsky and Curtis Priem. It currently has 22,473 employees in 2022. They are known for developing integrated circuits, which are used in electronic game consoles to computers. The company is very innovative, with new products coming out quickly. They are now world leaders in hardware, software, AI, and more.
Sounds pretty cool, right? What’s even better is that Nvidia offers self-paced online training as part of its Deep Learning Institute.
The beauty of Nvidia’s self-paced online training is that it offers:
- Technical Expertise – allowing you to get the best of the best technical expert training in the industry
- Industry-popular software, tools and frameworks – there’s no point messing with software or frameworks that are no longer in use. Gaining hands-on experience with current tools, etc., will strengthen your skills
- Different industries with concrete examples – AI is used in a variety of industries. With Nvidia training, you can learn about deep learning, accelerated computing, data science, and more for different industries.
- EARN CERTIFICATES – You can earn an NVIDIA Deep Learning Institute certificate with specific courses that support your career development.
The most important aspect for me is that I would train with one of the leading companies in data science, ML, AI, computer science, GPUs, etc. Amazon uses Nvidia products. Snapchat uses Nvidia products. They obviously have something great to offer, so why wouldn’t you want to learn more by taking their online training?
They have courses in 5 different areas and I will mention their popular courses in each area.
The first area is Deep Learning!
One of their popular deep learning courses is Deep Learning at Scale with Horovod which costs $30 and takes 2 hours.
Another of their most popular deep learning courses is Getting Started with AI on Jetson Nano, which is FREE and takes 8 hours.
Now let’s look at Accelerated Computing, which is very important to Nvidia.
Their most popular accelerated computing course is Fundamentals of Accelerated Computing with CUDA C/C++ which costs $90 and lasts 8 hours.
Their second most accelerated computing course is Fundamentals of Accelerated Computing with CUDA Python which costs the same as above; $90 and takes 8 hours to complete.
We arrived in the area which is very popular and in high demand; Data science!
The first course they offer is Accelerating DataFrame Operations with cuDF which is FREE and takes 30 minutes to complete.
The second is End-to-End Data Science Workflow Acceleration which costs $90 and takes 6 hours.
Graphics and simulation
Some people actually only know Nvidia for their graphics and simulation. This is a big deal in the business and if you are considering working for Nvidia, you should take the following course:
Getting started with USD for Collaborative 3D Workflows is FREE and takes 2 hours.
Last but not least; is the area of infrastructure.
Their most popular course is Introduction to AI in the Data Center which costs $45 for the single course or $450 as part of the Platinum membership and takes 4 hours to complete.
Their new course is Introduction to DOCA for DPUs which is FREE and takes 2 hours to complete.
They also provide students with hands-on experience in areas such as deep learning, accelerated computing, and robotics to meet the high demand for AI professionals.
These workshops are free and available in EMEA (Europe, Middle East, Africa), Brazil, India, Latin America and North America.
An upcoming workshop is Fundamentals of Deep Learning which will take place on Wednesday, June 22, 2022 from 9:00 a.m. to 5:00 p.m. CEST/EMEA, UTC+2.
If you want to take a look at their other upcoming workshops in June, click this link: NVIDIA DLI Student Workshops.
Nvidia’s Deep Learning Institute also works with leading educational organizations to improve the knowledge of people around the world. They have classes with:
If you want to learn more about the different courses offered by Nvidia, head over to their Deep Learning Institute catalog to learn more. They have great courses that have vital resources for the next AI revolution.
Nisha Arya is a data scientist and freelance technical writer. She is particularly interested in providing data science career advice or data science tutorials and theoretical knowledge. She also wants to explore the different ways that artificial intelligence is/can benefit the longevity of human life. A passionate learner, seeking to expand her technical knowledge and writing skills, while helping to guide others.