NVIDIA Deep learning Institute offers training to data scientists, developers, and researchers interested in applying AI and deeplearning to solve the most difficult problems in various industries. The courses are based on industry-standard tools, and include real-world examples that illustrate the principles and applications of deep learning and AI. WWT has deep learning expertise and can help you speed up your time to value. Learn how NVIDIA technology can be used in your projects. Also, learn how parallel CUDA kernels can also be created for your projects.
Online courses
NVIDIA DeepLearning Institute has many training options available for anyone who wants to learn AI or accelerated computing. Instructor-led workshops are offered online and in person by the institute for professionals and students interested in learning in these rapidly-developing areas. The institute offers online courses and certification assessments for university instructors. Click here if you are interested in a specific training program.
Instructor-led workshops
NVIDIA DeepLearning Institute offers online and face-to-face training courses in AI and accelerated computing. Industry experts have trained more that 200,000 developers worldwide in instructor-led workshops. Individuals can gain access to these courses for free through the Institute's online courses, earning a certificate of competency. A certificate of proficiency can be earned by participants to further their career advancement.
Prerequisites for parallel CUDA Kernels
The CUDA Course is designed to allow students to develop high-performance computing programs that take advantage cluster-scale GPU computing power. This course covers topics such as parallel thread hierarchy, memory optimization and atomic operations. It also includes multi-GPU programming. Students will also learn about advanced data engineering tools, including Numba, a just-in-time Python function compiler that launches CUDA kernels.
Training kits
The new Edge AI and Robotics Teaching Kit from the NVIDIA Deep Learning Institute (DLI) is a collaborative effort. The fifth installment in the series is this teaching kit. It combines lecture slides and software with video. The content covers advanced topics, including GPU-accelerated machine learning, Internet of Things, video analytics, and autonomous robotics. Instructors have everything they need for a course on GPUs using the teaching kits.
Certification program
Basic skills are required to complete the NVIDIA deep-learning institute certification program. You must be familiar with how to use a GPU accelerated cloud server. You can take free, online courses. Some courses can be completed in as little as 10 minutes and others take up to 60 minutes. The basics of creating simple neural networks, as well as exploring psychological and biological inspirations will be covered. You'll also learn to use the Jetson Nano Developer Kit - a powerful computer which allows you multiple neural networks to run in parallel.
FAQ
What are some examples AI-related applications?
AI is used in many fields, including finance and healthcare, manufacturing, transport, energy, education, law enforcement, defense, and government. Here are just some examples:
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Finance - AI is already helping banks to detect fraud. AI can detect suspicious activity in millions of transactions each day by scanning them.
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Healthcare – AI is used in healthcare to detect cancerous cells and recommend treatment options.
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Manufacturing - AI can be used in factories to increase efficiency and lower costs.
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Transportation - Self-driving vehicles have been successfully tested in California. They are being tested across the globe.
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Energy - AI is being used by utilities to monitor power usage patterns.
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Education - AI is being used in education. Students can interact with robots by using their smartphones.
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Government - AI can be used within government to track terrorists, criminals, or missing people.
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Law Enforcement-Ai is being used to assist police investigations. The databases can contain thousands of hours' worth of CCTV footage that detectives can search.
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Defense - AI systems can be used offensively as well defensively. An AI system can be used to hack into enemy systems. Artificial intelligence can also be used defensively to protect military bases from cyberattacks.
Is Alexa an artificial intelligence?
The answer is yes. But not quite yet.
Amazon has developed Alexa, a cloud-based voice system. It allows users speak to interact with other devices.
The Echo smart speaker was the first to release Alexa's technology. However, since then, other companies have used similar technologies to create their own versions of Alexa.
Some examples include Google Home (Apple's Siri), and Microsoft's Cortana.
What's the status of the AI Industry?
The AI industry is growing at an unprecedented rate. The internet will connect to over 50 billion devices by 2020 according to some estimates. This means that all of us will have access to AI technology via our smartphones, tablets, laptops, and laptops.
This will also mean that businesses will need to adapt to this shift in order to stay competitive. They risk losing customers to businesses that adapt.
Now, the question is: What business model would your use to profit from these opportunities? Would you create a platform where people could upload their data and connect it to other users? Or perhaps you would offer services such as image recognition or voice recognition?
No matter what your decision, it is important to consider how you might position yourself in relation to your competitors. You won't always win, but if you play your cards right and keep innovating, you may win big time!
What will the government do about AI regulation?
AI regulation is something that governments already do, but they need to be better. They need to ensure that people have control over what data is used. They must also ensure that AI is not used for unethical purposes by companies.
They must also ensure that there is no unfair competition between types of businesses. A small business owner might want to use AI in order to manage their business. However, they should not have to restrict other large businesses.
How does AI function?
To understand how AI works, you need to know some basic computing principles.
Computers store information in memory. They process information based on programs written in code. The code tells the computer what to do next.
An algorithm is a set or instructions that tells the computer how to accomplish a task. These algorithms are typically written in code.
An algorithm can be thought of as a recipe. A recipe may contain steps and ingredients. Each step can be considered a separate instruction. For example, one instruction might read "add water into the pot" while another may read "heat pot until boiling."
Statistics
- The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
- That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
- Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
- In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
- More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
External Links
How To
How to configure Siri to Talk While Charging
Siri can do many different things, but Siri cannot speak back. This is because there is no microphone built into your iPhone. Bluetooth is the best method to get Siri to reply to you.
Here's how Siri will speak to you when you charge your phone.
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Under "When Using assistive touch" select "Speak When Locked".
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To activate Siri, hold down the home button two times.
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Siri can be asked to speak.
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Say, "Hey Siri."
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Just say "OK."
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Speak: "Tell me something fascinating!"
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Say, "I'm bored," or "Play some Music," or "Call my Friend," or "Remind me about," or "Take a picture," or "Set a Timer," or "Check out," etc.
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Speak "Done."
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Thank her by saying "Thank you"
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Remove the battery cover (if you're using an iPhone X/XS).
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Replace the battery.
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Assemble the iPhone again.
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Connect the iPhone to iTunes
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Sync the iPhone
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Switch on the toggle switch for "Use Toggle".