Highlights
Tuition fee
2500 USD / full
2500 USD / full
2500 USD / full
Unknown
Tuition fee
2500 USD / full
2500 USD / full
2500 USD / full
Unknown
Duration
2 days
Duration
2 days
Apply date
Unknown
Apply date
Unknown
Start date
Unknown
Start date
Unknown
Campus location
Boston, United States
Campus location
Boston, United States
Taught in
English
Taught in
English

About

In the Designing Efficient Deep Learning Systems course offered by Massachusetts Institute of Technology (MIT), you’ll receive a high-level overview of deep learning, discuss various hardware platforms and architectures that support deep learning, and explore key trends in recent efficient processing techniques that reduce the cost of computation for deep learning.

Overview

What you will study

  • Discover how to build and utilize deep learning systems that extract meaningful information from large amounts of data. Over the Designing Efficient Deep Learning Systems course offered by Massachusetts Institute of Technology (MIT), you’ll work closely with leading MIT experts to explore key trends in efficient processing techniques and learn to build custom hardware that makes deep learning relevant to your organization. 
  • You’ll leave better equipped to evaluate the rapidly growing number of deep learning hardware designs being proposed in academia and industry.

Programme Structure

The program focuses on:

  • Understand the basics of deep learning, how it is applied to various applications, and how it is processed on various platforms
  • Outline the key design considerations for deep learning systems
  • Be able to evaluate different deep learning implementations with benchmarks and comparison metrics
  • Understand the strengths and weakness of various hardware architectures and platforms
  • Be able to assess the utility of various design techniques for efficient processing for deep learning
  • Understand and evaluate recent implementation trends and opportunities in deep learning systems

Key information

Duration

  • Full-time
    • 2 days

Start dates & application deadlines

Language

English

Credits

1 alternative credits

Delivered

On Campus

Campus Location

  • Boston, United States

What students do after studying Computer Science & IT

This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes

Total alumni
Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • This course is designed for research scientists, engineers, developers, project managers, startups and investors/venture capitalists who work with or develop artificial intelligence for hardware and systems, as well as mobile or embedded applications.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    2500 USD / full
    2500 USD / full
  • Out-of-State
    2500 USD / full
    2500 USD / full
  • Domestic

    In-State
    2500 USD / full
    2500 USD / full

Living costs

Boston

United States
1560 - 3239 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Designing Efficient Deep Learning Systems
Massachusetts Institute of Technology (MIT)
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Massachusetts Institute of Technology (MIT)

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