Professional Diploma in Deep Learning

Learn how this exciting technology powers everything.
No prior knowledge of Deep Learning required to get started.

February 17, 2024

11 weeks
(1 evening p/wk)

3 hours per week

Delivery mode
Online-Live Classroom

€895 (approx. £810)

Industry Focused Diploma Programmes Taught Online Live

Gain an Industry Focused Professional Diploma in Deep Learning delivered online-live by subject matter experts without leaving your home.

Access this industry focused course to gain skills to compete and advance in the modern workplace.

Classes are recorded, providing you with the flexibility to learn and revise at your own pace and intensity.

On successful graduation you will get a diploma certificate issued on a secure portal that you can share with employers and colleagues on LinkedIn.

What will I learn?

Neural Networks and Deep Learning are empowering significant and rapid change for businesses across all sectors and industries. If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new ‘superpower’ that will let you build AI systems that just were not possible a few years ago.

Take the Learnful Professional Diploma in Deep Learning to understand this hugely in-demand and influential field.

  • Understand the major technology trends driving Deep Learning
  • Be able to build, train and apply fully connected deep neural networks
  • Know how to implement efficient (vectorized) neural networks
  • Understand the key parameters in a neural network’s architecture
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Programme Curriculum

During your first class, you will explore the course content and format, including what you can expect from the programme and how it is assessed. You will be given an overview of Deep Learning concepts.

  • Introduction 
  • Basic statistics
  • Basic calculus

Learn about neurons, perception and parameters and know about a typical supervised machine learning setup.

  • Biologival neuron vs Artificial neuron
  • Perception 
  • A machine learning setup
  • Parameters and gradient descent
  • Functions

Learn what backpropagation is and understand gradient descents with respect to output units, hidden units and parameters.

  • Backpropagation 
  • Graadient descent
  • Information content, entropy & cross entropy
  • Learning parameters

Learn what principal component analysis is and understand the link between autoencoders and PCA.

  • Eigenvalues and Eigenvectors
  • PCA
  • Autoencoders
  • Train, test and validation

An introduction to computer vision through to understanding why to augment datasets. Learn image load datassets, how to build your first CNN and visualise the training results. An introduction to OpenCV including image processing and detecting edges. 

  • Computer vision 
  • CNN layers
  • Data augmentation 
  • OpenCV
  • Tensorflow
  • Keras
  • Build CNN
  • Interpretation
  • Predict class
  • Image load and preprocess

Understand how to play with texts by representing texts as numbers, encoding and generating text using RNN. 

  • Word embeddings
  • Advanced text mining & analysis

Learn how to read the audio file and labels and evaluate the model.

  • Simple audio recognition 
  • Train and build model 

Understand neural style transformation, model building and style extraction. 

  • Image transformation 

Learn bagging, boosting and stacking and understand why, when and how to perform them. 

  • Bagging 
  • Boosting
  • Stacking

Introduction to Pytorch and Fast AI.

  • Fast AI
  • Modern day convolutional neural networks

During your final class, the subject matter expert will summarise the key topics covered during the programme. The Assessment will be outlined in detail with plenty of opportunity to ask any clarifying questions. 


(approx. £810)

Download Prospectus
or Enrol now with a 10% deposit

Learn from the best

Satya Prakash BSc, MSc

Satya is an Artificial Intelligence Researcher and a Data Scientist. His career began as a Statistician and has worked for several companies including Insight Centre for Data Analytics, Kansatek and ANSR Source. He has also worked with researchers from different areas of data science such as time series analysis expert, computer vision expert and AI expert. 

He has an MSc degree in Computing (Data Analytics) and a Bachelors degree in Computer Science and Engineering. He is currently working as a Research Assistant at Insight Centre for Data Analytics.

Having more than five years of experience in education industries, he has trained more than 100 students in mathematics, statistics, computer programming, machine learning and AI. 

Why should I enrol?

Deep learning has shown its success in many areas including computer vision, speech and audio processing, natural language processing, robotics, bioinformatics and chemistry, video games, search engines, online advertising and finance.

Deep learning is a particular kind of machine learning technique that allows computer systems to improve with experience and data and achieves great power and flexibility by learning to represent the world as a nested hierarchy of concepts.

In recent years, deep learning has seen tremendous growth in its popularity and usefulness, due in large to more powerful computers, larger datasets and techniques to train deeper networks.

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What jobs will this programme prepare me for?

The world has more than 3.6 billion images searched, almost 500 million tweets are tweeted, 300 hours of videos uploaded and 5 billion videos are watched on the internet every single day. Such data has become very useful and crucial to understand, analyse, pre-process and predict humans’ behaviour for companies ranging from small scale to tech giants and multinational companies. While the data is big and the demand of these skills is very high, the industries are lagging with human resources possessing such advanced skills. Dublin, colloquially known as the Silicon Valley of Europe, has offices of Google, Amazon, IBM, Intel and other software companies where deep learning is still number one technology.

The Professional Diploma in Deep Learning will prepare you for jobs in the field of Computer Vision Engineer, Machine Vision Engineer, Text Mining Engineer, Data Scientist and Research and development centres.

All Programmes include

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Enjoy a personalised and supported virtual classroom learning experience

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Validated educational pedagogy with an industry-led syllabus

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Real-time industry respected content curated by experts

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Global leading online interactive learning platform

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Verified & Shareable Digital Cert featuring the knowledge and skills you gain

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Industry standard software ensuring your learning incorporates the newest features

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Finance options available

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Globally recognised, your qualification travels with you


For further details of the payment options available, see our finance page.

For employer sponsorship, simply fill out our employer sponsored form available on request from the Learnful team by emailing [email protected]

No prior experience/knowledge required.

All courses require proficiency in English, requirement of IELTS 6 or its equivalent. 

The Programme Subject Matter Expert will monitor progress throughout the programme using multiple choice scenarios to ensure that concepts are understood. An end of course formal written assignment, equating to 100% of the assessment marks,  must be passed to graduate. 


(approx. £810)

Download Prospectus
or Enrol now with a 10% deposit