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NVIDIA Deep Learning Institute (DLI) Instructor-Led Courses

Deep Learning Institute

Deep Learning

Fundamentals of Deep Learning
FUNDAMENTALS OF DEEP LEARNING

Duration: 8 hours

Price: Contact us.

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

 

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BUILDING TRANSFORMER-BASED NATURAL LANGUAGE PROCESSING APPLICATIONS

Duration: 8 hours

Price: Contact us.

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

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BUILDING CONVERSATIONAL AI APPLICATIONS

Duration: 8 hours

Price: Contact us

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

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BUILDING INTELLIGENT RECOMMENDER SYSTEMS

Duration: 8 hours

Price: Contact us

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.

Language: English

FUNDAMENTALS OF DEEP LEARNING FOR MULTI-GPUS

Duration: 8 hours

Price: Contact us

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

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APPLICATIONS OF AI FOR ANOMALY DETECTION

Duration: 8 hours

Price: Contact us

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

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APPLICATIONS OF AI FOR PREDICTIVE MAINTENANCE

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

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FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA C/C++

Duration: 8 hours

Price: Contact us.

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

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FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA PYTHON

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

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ACCELERATING CUDA C++ APPLICATIONS WITH MULTIPLE GPUS

Duration: 8 hours

Price: Contact us

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

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SCALING CUDA C++ APPLICATIONS TO MULTIPLE NODES

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

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Fundamentals of Accelerated Computing with OpenACC

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

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