Advanced End-to-End Machine Learning, Certificate | Part time online | University of St Andrews | United Kingdom
41 days
Duration
1525 GBP/full
1525 GBP/full
Unknown
Tuition fee
Unknown
Unknown
Apply date
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Start date

About

This Advanced End-to-End Machine Learning course offered by University of St Andrews will give you the tools to understand the core concepts, methods and technologies that underpin modern Deep Learning using artificial neural networks (ANNs). 

Visit the Visit programme website for more information

Overview

What you will study

This Advanced End-to-End Machine Learning course offered by University of St Andrews introduces you to basic neural networks using the scikit-learn Python package, covering the key concepts, techniques and technologies for training and prediction using multilayer perceptrons and the Keras Python package. 

The course also includes specialised and advanced coverage of modern Deep Learning techniques and tools, based on both the Keras and TensorFlow Python packages. 

Advanced Python code is supplied and explained for each topic. Your primary learning outcome is the ability to deploy and assess the state-of-the-art technologies that underpin modern AI-based machine learning and data science. 

Programme Structure

The program focuses on:

  • custom neural net models using Tensorflow
  • deep computer vision using convolutional neural networks
  • modelling time-series data with recurrent neural networks
  • artificial intelligence (AI) generation of images using autoencoders
  • generative adaptive networks
  • diffusion techniques

Key information

Duration

  • Part-time
    • 41 days

Start dates & application deadlines

Language

English

Delivered

Online
  • Self-paced

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

  • The course is suitable for advanced Python programmers
  • The course is aimed at professionals with a high level of numeracy who are seeking to understand the core concepts, methods and technologies that underpin modern Deep Learning using artificial neural networks (ANNs). 

Technological requirements

  • A good internet connection is more important than powerful computational equipment. 

Tuition Fee

To always see correct tuition fees
  • International

    1525 GBP/full
    Tuition Fee
    Based on the tuition of 1525 GBP for the full programme during 41 days.
  • National

    1525 GBP/full
    Tuition Fee
    Based on the tuition of 1525 GBP for the full programme during 41 days.

Funding

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