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Machine Learning Methods

Specialized Certificate

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About the Machine Learning Methods Program

Our Specialized Certificate in Machine Learning Methods will introduce students to the subject matter using a variety of tools including: Linear Algebra, Deep Learning, TensorFlow, and Deep Neural Networks (DNN).

Machine Learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. According to a report by BCC Research, the ability of computers to "learn" without having to be programmed will continue to impact global markets in coming years. This growth is being driven by increased computing power, the expanding need for learning and prediction applications, and rising usage of the cloud for data storage.

A student completing this certificate will accumulate an important set of skills needed in current machine learning careers. Courses consist of both theoretical and practical skills complementing each other and hence enhancing the machine learning scientist abilities. Furthermore, courses are designed and classified to train students further in the field of machine learning, as well as coordinating with other engineering disciplines and industrial practices.

Key Program Topics

  • Learn linear algebra skills necessary for machine learning and neural network modelling
  • Tools and underlying mathematical concepts of data interpretation that work with specific models of neural networks (NN)
  • Review tools available to build Deep Learning including: Tensor Flow, Keras, and Theano
  • Perform detailed analysis of leading machine learning approaches and popular NN like CNN, FCNN, ImageNet, ResNet, and RNN
  • Apply NN in image classification, image segmentation and natural language processing (NLP)
  • Algorithms and modelling used in supervised learning of neural networks

For more information about this program, please contact: unex-techdata@ucsd.edu.

  • All courses can be taken online, many offered each academic quarter
  • Practical, comprehensive hands-on training
  • Taught by leading industry practitioners
  • Immediately applicable skills
  • Industry-neutral curriculum allows you to apply knowledge to your field of interest

Who Will Benefit

  • Individuals looking to learn machine learning skills using easily accessible tools
  • Those seeking to transition into a career in Artificial Intelligence and/or Machine Learning
  • Students desiring skills to enhance their prospects for a career in the hot AI market
  • Individuals with mathematical and computer sci backgrounds looking to add to their existing skillset.
  • According to the U.S. Bureau of Labor Statistics (BLS), the median wages for a Computer and Information Research Scientist are $86,510 per year nationwide
  • Computer and Information Research Scientists is an O*NET “Bright Outlook” job: a new and emerging role in a high growth industry
  • According to Burning Glass, top companies hiring Machine Learning Scientists nationwide in the past year include IBM, Apple, Booz Allen Hamilton, Facebook, Conduent, Google, Microsoft, Twitter, and many others in the tech industry.
Format: Online

Estimated Cost: $2,270

Excludes textbooks, software, related materials

Duration: 6-9 months

Flexible; most students complete the program in six to nine months

Contact
Department
Science & Technology
Phone
858-534-9351
Email
unex-techdata@ucsd.edu

Courses

Delivery Method
Show Legend
  • Live Online
  • In-Person
  • Online
  • Hybrid
  • Number of courses: Three (one required class and two electives)
  • Total units: Nine

Linear Algebra for Machine LearningCSE-41287

Units: 3.00

$725

Linear Algebra for Machine LearningLinear algebra provides a mathematical framework for organizing information and then using that information to solve problems, especially physics, math, engineering,...

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Upcoming Start Dates:
Typically Offered:

Fall, Winter, Spring, Summer

Choose two

Probability and Statistics for Deep LearningCSE-41305

Units: 3.00

$725

Probability and Statistics for Deep LearningDeep Learning is often called Statistical Learning and approached by many experts as statistical theory of the problem of the function estimation from a g...

See Details
Upcoming Start Dates:
Typically Offered:

Fall, Spring

Practicum for Deep Neural NetworksCSE-41311

Units: 3.00

$725

Practicum for Deep Neural NetworksIn the last decade, Neural Networks (NN) have attracted a lot of research due to their immense application potential. Breakthroughs of Deep Learning in image classifi...

See Details
Upcoming Start Dates:
Typically Offered:

Winter, Summer

Deep Learning Using TensorFlowCSE-41312

Units: 3.00

$725

Deep Learning Using TensorFlowDeep Learning is a branch of Artificial Intelligence (AI) that is based on the architecture of Neural Networks. When the number of hidden layers in a neural network is ex...

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Upcoming Start Dates:
Typically Offered:

Fall, Spring

Cloud Services for Machine LearningCSE-41331

Units: 3.00

$725

Cloud Services for Machine LearningMachine learning techniques are used to find valuable underlying patterns within complex data that we would otherwise struggle to discover. The hidden patterns and k...

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Upcoming Start Dates:
Typically Offered:

Winter, Summer

Not required for certificate

Data Analytics Using PythonCSE-41204

Units: 3.00

$725

Data Analytics Using PythonIn this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is p...

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Upcoming Start Dates:
Typically Offered:

Fall, Winter, Spring, Summer

Data Science with RCSE-41308

Units: 3.00

$725

Data Science with RData management and manipulation is an essential task for data scientists who deal with data on a day-to-day basis. In recent years, many R packages were developed to tackle a wide ...

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Upcoming Start Dates:
Typically Offered:

Fall, Spring

Advanced Business Intelligence: Introduction to Predictive AnalyticsCSE-41288

Units: 3.00

$695

Advanced Business Intelligence: Introduction to Predictive Analytics This course introduces the predictive modeling process and basics of predictive analytics for business applications, including hand...

See Details
Upcoming Start Dates:
Typically Offered:

Fall, Spring

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Conditions for Admission

Although open to all adult learners, UC San Diego Extension programs are designed to best serve college-prepared working professionals. Where program capacity is limited, applicants with this profile will receive preference for admission.

Certificate Guidelines

You may enroll in the certificate program at any time. However, it is recommended that you enroll as soon as possible. The program curriculum may be updated at any time; if certificate requirements change, you must adhere to the curriculum at the time of your enrollment into the certificate.

EDC Preferred Provider

The San Diego Regional EDC's Advancing San Diego program is designed to address talent shortages in STEM positions. Students of our program will be eligible for fully-funded internships at San Diego small companies. Learn more about the program by visiting AdvancingSD.com.

EDC approved provider logo

Advisory Board

Bilyana Aleksic

Consultant

An Chan

Qualcomm

Alfonso Limon, Dr.

Liaison of Research and Development

Oneirix

Borislav Ristic

Consultant

Pranesh Sinah

Qualcomm

Jose Upingo

Consultant

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This certificate requires an application before taking any courses. There will be a $0 fee to apply to this program. Students will also be required to pay a $95 certificate fee upon enrollment into the program after acceptance. View the complete Certificate Registration and Candidacy Guidelines.

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