If you’re interested in developing key skills in AI, accelerated data science, or accelerated computing, you can now get instructor-led training from the NVIDIA Deep Learning Institute (DLI). Available for both individuals and teams, workshops are taught by DLI-certified instructors who are experts in their fields, delivering industry-leading technical knowledge to drive breakthrough results.
Interested in transforming your organization into an AI powerhouse?
Check out DLI Enterprise Solutions and request a custom package.
Tue, May 14, 2024
8:00 a.m.-4:00 p.m. CEST, UTC+2 (EMEA)
Wed, May 15, 2024
9:00 a.m.-5:00 p.m. PDT, UTC-7 (NALA)
Thu, May 16, 2024
9:00 a.m.-5:00 p.m. CEST, UTC+2 (EMEA)
Wed, June 5, 2024
8:00 a.m.-4:00 p.m. PDT, UTC-7 (NALA)
Thu, June 6, 2024
9:00 a.m.-5:00 p.m. CEST, UTC+2 (EMEA)
Thu, June 13, 2024
9:00 a.m.-5:00 p.m. CEST, UTC+2 (EMEA)
8 hours | C/C++, CUDA
8 hours | CUDA, Python, Numba, NumPy
8 hours | CUDA C++, NVIDA Nsight™ Systems
8 hours | C++, CUDA, MPI, NVSHMEM
8 hours | NVIDIA Nsight™, OpenACC
8 hours | Python, cuDF, Dask, Plotly, NVTabular, cuML, Forest Inference Library, PyTorch, and NVIDIA Triton™ Inference Server
8 hours | pandas, cuDF, Dask, NVTabular, Plotly
8 hours | RAPIDS, NumPy, XGBoost, DBSCAN, K-Means, SSSP, Python
8 hours | Python, LangChain, NVIDIA AI Foundation Endpoints, FAISS, Gradio, LangServe, FastAPI
8 hours | PyTorch, CLIP
8 hours | Python, PyTorch, HuggingFace, transformers, LangChain, LlamaIndex
8 hours | Python, NVIDIA NeMo framework, GPT, LLaMA, HuggingFace
3 days onsite or 4 remote sessions
5 days onsite or 6 remote sessions
4 days onsite or 6 remote sessions
3 days onsite or 4 remote sessions
3 remote sessions
Learn from DLI-certified instructors who are experts in their fields. Use breakout rooms to collaborate with other students and interact with instructors.
Learn from a team of technical industry experts who are passionate about developing curriculum around the latest technology trends.
Gain hands-on experience with the most widely used, industry-standard software, tools, and frameworks.
Learn to build deep learning, accelerated computing, and accelerated data science applications for industries, such as healthcare, robotics, manufacturing, and more.
Earn an NVIDIA Deep Learning Institute certificate in select courses to demonstrate subject matter competency and support professional career growth.
Gain real-world expertise through content designed by NVIDIA and industry experts.
Access fully configured, GPU-accelerated servers in the cloud to complete hands-on exercises included in the training.
Build production-quality solutions with the same DLI base environment containers used in the courses, available from the NVIDIA NGC™ catalog.
Whether you’re an individual looking for self-paced, online training or an organization wanting to develop your workforce’s skills, NVIDIA DLI offers a range of options, from individual courses to bulk packages. Courses can be taken anytime, anywhere, with just a computer and an internet connection.
Despite the pandemic putting in-person training on hold, organizations can still offer instructor-led courses to their workforce to develop key skills in AI, data science, and accelerated computing.
NVIDIA DLI is now offering instructor-led workshops remotely, delivered via a virtual classroom.
The GPU Hackathons and Bootcamps program pairs computational and domain scientists with experienced GPU mentors to teach them the parallel computing skills they need to accelerate their work.