Deep Learning

Fundamental Of Deep Leaning

Building Transformer-Based Natural Language Processing Applications

Building Conversational AI Applications

Building Intelligent Recommender Systems

Fundamentals of Deep Learning for Multi-GPUs

Applications of AI for Anomaly Detection

Applications of AI for Predictive Maintenance

Duration

8 hours

Price

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Prerequisites

An understanding of fundamental programming concepts in Python 3, such as functions, loops, dictionaries, and arrays; familiarity with Pandas data structures; and an understanding of how to compute a regression line.

Technologies

Tensorflow 2 with Keras, Pandas

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Languages

English

Duration

8 hours

Price

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Prerequisites

Experience with Python coding and use of library functions and parameters, fundamental understanding of a deep learning framework such as TensorFlow, PyTorch, or Keras, basic understanding of neural networks.

Technologies

PyTorch, pandas, NVIDIA NeMo™, NVIDIA Triton™ Inference Server

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Languages

English

Duration

8 hours

Price

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Prerequisites

Basic Python programming experience, fundamental understanding of a deep learning framework, such as TensorFlow, PyTorch, or Keras, basic understanding of neural networks

Technologies

NVIDIA Riva, NVIDIA TAO Toolkit, Kubernetes

Certificate

Upon successful completion of the assessment, you’ll receive an NVIDIA DLI certificate to recognize your subject matter competency and support your professional career growth

Hardware Requirements

You’ll need a desktop or laptop computer capable of running the latest version of Chrome or Firefox. You will be provided with dedicated access to a fully configured, GPU-accelerated workstation in the cloud.

Languages

English

Duration

8 hours

Price

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Prerequisites

Intermediate knowledge of Python (including an understanding of list comprehension), data science experience using Python, familiarity with NumPy and matrix mathematics.

Technologies

CuDF, CuPy, TensorFlow 2, NVIDIA Merlin, NVTabular, and NVIDIA Triton™ Inference Server

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Languages

English

Duration

8 hours

Price

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Prerequisites

Experience with gradient descent model training

Technologies

TensorFlow, Keras, Horovod

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Languages

English

Duration

8 hours

Price

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Prerequisites

Professional data science experience using Python, experience training deep neural networks

Technologies

NVIDIA RAPIDS™, XGBoost, TensorFlow, Keras, pandas, autoencoders, GANs

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Language

English

Duration

8 hours

Price

Contact us

Prerequisites

Experience with Python, basic understanding of data processing and deep learning

Technologies

Python, TensorFlow, Keras, XGBoost, NVIDIA RAPIDS™, cuDF, LSTM, autoencoders

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Language

English

Accelerated Computing

Fundamentals of Accelerated Computing with CUDA C/C++

Fundamentals of Accelerated Computing with CUDA Python

Accelerating CUDA C++ Applications with Multiple GPUs

Scaling CUDA C++ Applications to Multiple Nodes

Fundamentals of Accelerated Computing with OpenACC

Duration

8 hours

Price

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Prerequisites

Basic C/C++ competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations

Technologies

NVIDIA® Nsight™, nsys

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Languages

English

Duration

8 hours

Price

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Prerequisites

Basic Python competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations; NumPy competency, including the use of ndarrays and ufuncs, no previous knowledge of CUDA programming is required

Technologies

Numba, NumPy

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Languages

English

Duration

8 hours

Price

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Prerequisites

Professional experience programming CUDA C/C++ applications, including the use of the nvcc compiler, kernel launches, grid-stride loops, host-to-device and device-to-host memory transfers, and CUDA error handling, familiarity with the Linux command line, experience using makefiles to compile C/C++ code

Technologies

CUDA C++, Nsight Systems

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Languages

English

Duration

8 hours

Price

Contact us

Prerequisites

Basic Python competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations; NumPy competency, including the use of ndarrays and ufuncs, no previous knowledge of CUDA programming is required

Technologies

Numba, NumPy

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Languages

English

Duration

8 hours

Price

Contact us

Prerequisites

Basic C/C++ or Fortran competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations.

Tools, libraries, and frameworks

NVIDIA® Nsight™, OpenACC

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated workstation in the cloud.

Language

English