NVIDIA Deep Learning Institute (DLI) workshops, hosted by Boston, offer hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning.
Through self-paced labs and instructor-led workshops, the Deep Learning Institute teaches the latest techniques for designing, architecting, and deploying neural network-powered machine learning across a variety of application domains.
Students of the DLI will explore widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms. Boston are pleased to be DLI Delivery Partners providing training globally. Whilst we organise several public courses through the year, and our trainers TA at GTC's across the world, Boston recommends Private Workshops for organisations, so that they may benefit from our trainers' expertise to tailor workshops to their requirements.
Train neural networks and solve problems with deep learning
DURATION: 8 Hours
FRAMEWORKS: Caffe, DIGITS
LANGUAGE: English, Japanese, Korean, Simplified/Traditional Chinese
PRE-REQUISITES: Familiarity with basic programming fundamentals
Understand textual input using natural language processing (NLP)
DURATION: 20 Hours
FRAMEWORKS: TensorFlow, Keras
LANGUAGE: English, Chinese
PRE-REQUISITES: Basic experience with neural networks and Python programming, familiarity with linguistics
Use multiple GPUs to train neural networks and effectively parallelise training of deep neural networks using TensorFlow
FRAMEWORKS: TensorFlow
LANGUAGE: English
PRE-REQUISITES: Experience with stochastic-gradient-descent mechanics, network architecture and parallel computing
Explore how to use Numba to accelerate Python programs to run of massively parallel NVIDIA GPUs
FRAMEWORKS: RAPIDS, NumPy, XGBoost, DBSCAN, K-Means, SSSP, Python
LANGUAGE: English
PRE-REQUISITES: Professional data science experience with Python, including proficiency in pandas and NumPy. Familiarity with XGBoost, DBSCAN, K-Means and SSSP
Accelerate & optimise C/C++ CPU- only apps using CUDA
DURATION: 8 Hours
FRAMEWORKS: C/C++, CUDA
LANGUAGE: English, Korean, Traditional Chinese
PRE-REQUISITES: Basic C/C++ competency, Assuming no previous knowledge of CUDA programming
Train convolutional & recurrent neural networks to generate captions from images & video using TensorFlow and the Microsoft Common Objects in Context (COCO) data set
FRAMEWORKS: TensorFlow
LANGUAGE: Japanese, Korean, Traditional Chinese
PRE-REQUISITES: Familiarity with basic Python and prior experience with training neural networks
Design, train and deploy deep neural networks and optimise perception components for autonomous vehicles using the NVIDIA DRIVE™ development platform
FRAMEWORKS: TensorFlow, NVIDIA TensorRT™, Python, NVIDIA CUDA C++, DIGITS
LANGUAGE: English, Simplified Chinese
PRE-REQUISITES: Experience with CNNs and C++
Learn how to apply CNNs to MRI scans to perform a variety of medical tasks & calculations
FRAMEWORKS: R, MXNet, TensorFlow, Caffe, DIGITS
LANGUAGE: English
PRE-REQUISITES: Basic familiarity with deep neural networks and basic coding experience in Python or similar language
Perform multiple analysis tasks using RAPIDS, a collection of data science libraries allowing end-to-end GPU acceleration for data science workflows
FRAMEWORKS: RAPIDS, NumPy, XGBoost, DBSCAN, K-Means, SSSP, Python
LANGUAGE: English
PRE-REQUISITES: Professional data science experience with Python. Familiarity with common ML algorithms
The mission of the Boston Training Academy (BTA) is to become a renowned developmental ground for talent engagement, education and solutions across a variety of disciplines. The BTA offers structured, face-to-face, labs and training delivered by world-class trainers that are tailored to the knowledge-base of the attendees. For a range of other courses, please visit the Boston Training Academy.
The Boston Training Academy (BTA) is pleased to launch LIVE and Fully Interactive instructor-led learning, presented by leading industry expert trainers with practical labs at your desk - so no need to travel or change your schedule!
To help our clients make informed decisions about new technologies, we have opened up our research & development facilities and actively encourage customers to try the latest platforms using their own tools and if necessary together with their existing hardware. Remote access is also available