NVIDIA Deep Learning Institute (DLI) Training
As NVIDIA Service Delivery Partner – Education Services we offer the original NVIDIA Deep Learning Institute (DLI) training portfolio. NVIDIA DLI courses are available as public classroom training or as individual company training.
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NVIDIA DLI Training Programs
Do you have any questions about our AI training offerings? Simply let us know your requirements using our contact form or call us at +507 2004830 and we will be happy to advise!
Customized NVIDIA Workshops
We are happy to tailor courses to suit your company's goals and requirements as well as participants' prior knowledge and skills. Simply let us know what you need.
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Why Choose NVIDIA Deep Learning Institute Training?
- Access workshops from anywhere with just your desktop/laptop computer and an internet connection. Each participant will have access to a fully configured, GPU-accelerated server in the cloud.
- Obtain hands-on experience with the most widely used, industry-standard software, tools, and frameworks.
- Learn to build deep learning and accelerated computing applications for industries, such as healthcare, robotics, manufacturing, accelerated computing, and more.
- Gain real-world expertise through content designed in collaboration with industry leaders, such as the Children’s Hospital of Los Angeles, Mayo Clinic, and PwC.
- Earn an NVIDIA Deep Learning Institute certificate to demonstrate your subject matter competency and support your career growth
NVIDIA courses by category
Accelerated Computing
- Accelerating CUDA C++ Applications with Multiple GPUs (ACCAMG)
- Fundamentals of Accelerated Computing with CUDA C/C++ (FACCC)
- Fundamentals of Accelerated Computing with CUDA Python (FACCP)
- Fundamentals of Accelerated Computing with OpenACC (FACO)
- Scaling CUDA C++ Applications to Multiple Nodes (SCCAMN)
Deep Learning
- Fundamentals of Deep Learning (FDL)
- Building Transformer-Based Natural Language Processing Applications (BNLPA)
- Applications of AI for Anomaly Detection (AAAD)
- Applications of AI for Predictive Maintenance (AAPM)
- Building AI-Based Cybersecurity Pipelines (BABCP)
- Building Conversational AI Applications (BCAA)
- Computer Vision for Industrial Inspection (CVII)
- Data Parallelism: How to Train Deep Learning Models on Multiple GPUs (DPHTDLM)
- Model Parallelism: Building and Deploying Large Neural Networks (MPBDLNN)