Deep Learning with Python

Access Duration - 365 Days
Guided Learning Hour 02 Guided Learning Hours (02)
Course Materialr Course Material
Number of Modules 06 Number of Modules 06
4.3( 3 REVIEWS )


Deep learning has been getting a considerable amount of attention in the digital world, which is why we have developed this course in deep learning with python to help you incorporate deep learning techniques in your projects using the python language. No matter how minimal of a knowledge you have in deep learning, if you have the interest for it, this course is all you need!

This course will start off by walking you through the concept of deep learning, along with its libraries, to familiarise you with it. Backpropagation, which is used to calculate derivatives, will be thoroughly delved in through this course, along with an insight into deep learning with Theano to optimize a simple model in pure Theano. You will also be enlightened on keras and how it can be used to make Theanos even easier to use.

After learning how to load and reuse pre-trained models using Theano through this course. You will taught on the differences between recurrent and convolutional layers to comprehend how to train a sentiment analysis model for text. The Google’s learning library, Tensorflow, will also be duly discussed through this course, along with guidelines on how to caption it to further enhance your knowledge on it. By the end of this course, you will have a well-grounded knowledge on deep learning to incorporate it in your present and future projects.

Why study at Global Edulink?

Global Edulink offers the most convenient path to gain recognised skills and training that will give you the opportunity to put into practice your knowledge and expertise in an IT or corporate environment. You can study at your own pace at Global Edulink and you will be provided with all the necessary material, tutorials, qualified course instructor, narrated e-learning modules and free resources which include Free CV writing pack, free career support and course demo to make your learning experience more enriching and rewarding.


  • Access Duration 
  • Who is this course aimed at?
  • Entry Requirements
  • Method Of Assessment
  • Certification
  • Career Path
  • Other benefits

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

This course is aimed at individuals looking to master python to develop applications involving deep learning techniques

Learners must be age 16 or over and should have basic understanding of the English Language, numeracy, literacy and ICT.

The course is assessed online with a final, multiple-choice test, which is marked automatically. You will know instantly whether you have passed the course.

Those who pass this test will get a certificate in Deep Learning with Python

This certificate will improve your candidature for a range of jobs in the web development industry. You can also use this certificate to progress in your career by demanding for a salary increment or job promotion from your employer. Listed below are few of the jobs this certificate will benefit you in, along with the average UK salary per annum according to,

  • Web developer – £24,915 per annum
  • Software engineer – £35,190 per annum
  • Software developer - £30,753 per annum
  • Computer programmer -  £30,455 per annum
  • Graphic designer - £21,985 per annum
  • Information security analyst - £33,424 per annum
  • High-quality e-learning study materials and mock exams.
  • Tutorials/materials from the industry leading experts.
  • 24/7 Access to the Learning Portal.
  • The benefit of applying for TOTUM extra Discount Card.
  • Recognised Accredited Qualification.
  • Excellent customer service and administrative support

Key Features

Gain an Accredited UK Qualification
Access to Excellent Quality Study Materials
Personalised Learning Experience
Support by Phone, Live Chat, and Email
Eligible for TOTUM Discount Card
UK Register of Learning Providers Reg No : 10053842

Course Curriculum

Getting Started
Online Training User Manual
E Certificate Download Guide 00:00:00
Section 1: Head First into Deep Learning
1.1. The Course Overview 00:00:00
1.2. What Is Deep Learning? 00:00:00
1.3. Open Source Libraries for Deep Learning 00:00:00
1.4. Deep Learning “Hello World!” Classifying the MNIST Data 00:00:00
Section 2: Backpropagation and Theano for the Rescue
2.1. Introduction to Backpropagation 00:00:00
2.2. Understanding Deep Learning with Theano 00:00:00
2.3. Optimizing a Simple Model in Pure Theano 00:00:00
Section 3: Keras – Making Theano Even Easier to Use
3.1. Keras Behind the Scenes 00:00:00
3.2. Fully Connected or Dense Layers 00:00:00
3.3. Convolutional and Pooling Layers 00:00:00
Section 4: Solving Cats Versus Dogs
4.1. Large Scale Datasets, ImageNet, and Very Deep Neural Networks 00:00:00
4.2. Loading Pre-trained Models with Theano 00:00:00
4.3. Reusing Pre-trained Models in New Applications 00:00:00
Section 5: "for" Loops and Recurrent Neural Networks in Theano
5.1. Theano “for” Loops – the “scan” Module 00:00:00
5.2. Recurrent Layers 00:00:00
5.3. Recurrent Versus Convolutional Layers 00:00:00
5.4. Recurrent Networks –Training a Sentiment Analysis Model for Text 00:00:00
Section 6: Bonus Challenge and TensorFlow
6.1. Bonus Challenge – Automatic Image Captioning 00:00:00
6.2. Captioning TensorFlow – Google’s Machine Learning Library 00:00:00
Mock Exam
Mock Exam : Deep Learning with Python 00:40:00
Final Exam
Final Exam : Deep Learning with Python 00:40:00

Students feedback


Average rating (3)
5 Star
4 Star
3 Star
2 Star
1 Star
    N W

    Nadia Watts

    June 05, 2019
    Very Useful

    I found the course very useful. I would have preferred if the instructor had provided more feedback on the assignments.

    E J

    Ernest Jones

    May 31, 2019
    A Great Guidance Course

    I did not have any reference points as it was my first course at Global Edulink. I was recommended to take it, and I’m glad I did. I don’t have experience in computer science but the instructions and teaching were clear.

    D J

    Daphne Jackson

    May 24, 2019
    Fairly Good Course

    A very good course. I barely knew anything about Python when I started and now I’ve become comfortable with deep learning techniques when using the Python language.

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