Teaching You To Solve Problems With Deep Learning


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. 



Find the right course for you


DLI workshops teach you how to implement and deploy an end-to-end project in one day. These in-depth classes are taught by experts in their respective fields, delivering industry-leading technical knowledge to drive breakthrough results for individuals and organisations. We can tailor any course to suit your level of knowledge, be it beginner, intermediate or advanced.


Fundamentals of Deep Learning

Learn how deep learning works through hands-on exercises in computer vision and NLP

FRAMEWORKS: TensorFlow 2 with Keras, pandas

LANGUAGE: English, Japanese, Korean, Simplified Chinese, Traditional Chinese

PRE-REQUISITES: An understanding of fundamental programming concepts in Python such as functions, loops, dictionaries, arrays


Building Transformer-Based NLP

Learn how to use Transformer-based natural language processing models for text classification tasks

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

LANGUAGE: English, Korean, Simplified Chinese

PRE-REQUISITES: Experience with Python coding and use of library functions and parameters


Fundamentals of DL for Multi-GPUs

Use multiple GPUs to effectively parallelise training of deep neural networks using TensorFlow

FRAMEWORKS: TensorFlow, Keras, Horovod

LANGUAGE: English, Korean, Japanese, Simplified/Traditional Chinese

PRE-REQUISITES: Experience with stochastic-gradient-descent mechanics, network architecture and parallel computing


Fundamentals of Accelerated Computing with CUDA Python

Learn how to use Numba to accelerate Python programs to run of massively parallel NVIDIA GPUs

FRAMEWORKS: CUDA, Python, Numba, NumPy

LANGUAGE: English, Simplified/Traditional Chinese

PRE-REQUISITES: Basic Python competency, familiarity with variable types, loops, conditional statements, functions, and array manipulations


Building Conversational AI Applications

Learn how to quickly build and deploy production quality conversational AI applications with real-time transcription and NLP capabilities

FRAMEWORKS: NVIDIA Jarvis, NVIDIA Transfer Learning Toolkit, Kubernetes


PRE-REQUISITES: Experience with Python coding and use of library functions and parameters, fundamental understanding of a DL framework


Building Intelligent Recommender Systems

Explore the fundamental tools and techniques for building highly effective recommender systems

FRAMEWORKS: CuDF, CuPy, TensorFlow 2, and NVIDIA Triton Inference Server


PRE-REQUISITES: Intermediate knowledge of Python, including understanding of list comprehension


Deep Learning for Industrial Inspection

Design, train, test, and deploy building blocks of a hardware-accelerated industrial inspection pipeline

FRAMEWORKS: TensorFlow, NVIDIA® TensorRT™, Keras

LANGUAGE: English, Simplified/Traditional Chinese

PRE-REQUISITES: Familiarity with deep neural networks, experience with Python and DL frameworks


Deep Learning for Healthcare Image Analysis

Learn how to apply CNNs to MRI scans to perform a variety of medical tasks & calculations

FRAMEWORKS: R, MXNet, TensorFlow, Caffe, DIGITS

LANGUAGE: English, Japanese

PRE-REQUISITES: Basic familiarity with deep neural networks and basic coding experience in Python or similar language


Deep Learning for Intelligent Video Analytics

Explore how to deploy object detection and tracking networks to evaluate real-time, large-scale video streams

FRAMEWORKS: DeepStream 3.0, TensorFlow

LANGUAGE: English, Korean

PRE-REQUISITES: Experience with deep networks and intermediate-level experience with C++ and Python



Boston Training Academy


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!



Test out any of our solutions at Boston Labs

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

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