Course Curriculum

Introduction of Project 00:03:00
Setup Environment for ANN 00:11:00
ANN Installation 00:09:00
Import Libraries and Data Preprocessing 00:11:00
Data Preprocessing 00:07:00
Data Preprocessing Continue 00:10:00
Data Exploration 00:10:00
Encoding 00:07:00
Encoding Continue 00:06:00
Preparation of Dataset for Training 00:04:00
Steps to Build ANN Part 1 00:06:00
Steps to Build ANN Part 2 00:06:00
Steps to Build ANN Part 3 00:06:00
Steps to Build ANN Part 4 00:09:00
Predictions 00:11:00
Predictions Continue 00:08:00
Resampling Data with Imbalance-Learn 00:09:00
Resampling Data with Imbalance-Learn Continue 00:08:00

Artificial Neural Network with Python Course Overview

Project on Deep Learning – Artificial Neural Network is your chance to learn one of the most powerful technologies shaping our world today. From voice assistants to medical diagnosis, artificial neural networks power the smart systems we use every day. If you want to understand how machines learn, this course is where you start.

This Artificial Neural Network course is built for those who want practical, hands-on experience. You’ll learn how these networks are structured, how they process information, and how they learn from data over time. No overwhelming theory, just clear lessons that build real understanding step by step.

By the end of this training, you’ll be able to build your own artificial neural network from scratch. You’ll understand how layers, weights, and data work together to make accurate predictions. This isn’t just concepts on a page, you’ll complete a real project that shows exactly what you’ve learned.

Whether you’re aiming for a career in AI, data science, or software engineering, this course gives you a genuine head start. Learn how an Artificial Neural Network really works, and build something you can proudly show employers.

Learning Outcomes

  • Explain how an artificial neural network is structured and how it learns
  • Build a working neural network using real data and code
  • Understand how layers and weights affect a network’s predictions
  • Train a model and improve its accuracy over time
  • Test and evaluate your network to check how well it performs
  • Apply key deep learning concepts to solve real-world problems
  • Complete a full Artificial Neural Network project you can showcase in your portfolio

What You’ll Gain

  • Get an introduction to Deep Learning of Artificial Neural Network
     You’ll start with key concepts and an overview of the full project. This gives you a strong start in Deep Learning of Artificial Neural Network.
  • Set up your ANN environment
     You’ll learn how to install and configure the tools needed to build neural networks. This gives you the technical base required for deep learning work.
  • Master data preprocessing techniques
     You’ll import libraries and learn how to clean and prepare data for analysis. This is an essential skill in any machine learning workflow.
  • Learn data exploration and encoding
     You’ll explore datasets and study how to encode data correctly for training. This strengthens your understanding of data preprocessing in AI projects.
  • Prepare datasets for training
     You’ll learn how to structure data ready for building your neural network. This is a key step in any artificial neural network project.
  • Build an artificial neural network step by step
     You’ll follow a clear, structured process to construct your ANN from scratch. This is the core skill in Deep Learning of Artificial Neural Network.
  • Make predictions with your model
     You’ll learn how trained models are used to generate predictions from data. This shows you how deep learning models are applied in practice.
  • Handle imbalanced data with Imbalance-Learn
     You’ll study resampling techniques to manage imbalanced datasets. This is valuable knowledge for building more accurate AI models.
  • Earn a free digital certificate
     You’ll receive a free PDF certificate once you complete the course, with a hardcopy option available. This adds real value to your CV in a competitive field.
  • Boost your career in AI and data science
     You’ll gain theoretical knowledge useful for roles in artificial intelligence, data science and machine learning, supporting the UK’s growing network of over 1,300 AI-focused companies. This course helps you stand out through Deep Learning of Artificial Neural Network.

Our Specialised Delivery Method:

  • Interactive Learning Materials: The course modules were created using an EdTech industry-recognised tool to keep you engaged at all times. With this tool, you get interactive, engaging and top-notch course content. In our courses, you can take advantage of features like—
    • Drop Down Menu
    • Drag and Drop
    • Flash Card
    • Label Graphic
    • Timeline View
  • Responsiveness: In light of contemporary mobile and point-of-need learning trends, our courses are designed to be intrinsically dynamic and provide you the ultimate eLearning solution. These courses will adapt to any gadget without any extra software.
  • Learner-Friendly Navigation: Our courses are also quite simple to navigate for any learner. These courses are designed with simplicity and a modern flow that appeals to a wide range of learning audiences, regardless of their technical background and gadgets.
  • Elegant Outline: Our courses are visually appealing, where you can —
    • Track your progress on the left-side navigation toolbar.
    • Engage in drag-and-drop sorting activities and use the multiple response question to test your understanding of course topics.

With your newly acquired skills from this course can help you

  • Increase Your Hireability.
  • Make Yourself a Valuable Asset
  • Get Your Long-awaited Promotion.
  • Boost Your Pay-scale
  • Better Your Productivity

Certification:

Once you have successfully completed the CPD Accredited Artificial Neural Network with Python Course , you will receive a PDF certificate completely free of cost as a proof of your accomplishment. The hardcopy certificate is also available for the cost of £9.99. UK students are required to pay a £10 as a delivery fee, while international students have to pay £19.99 for the shipment of a hardcopy certificate to their designated address.

Who is this Artificial Neural Network with Python Course for?

This Artificial Neural Network Course is developed for people who wish to excel in their professional and personal life. Learn from industry leaders and interact with a global network of experts by enrolling in this Project on Deep Learning – Artificial Neural Network course.

Requirements

Enrolling in our Artificial Neural Network Course does not require any prior knowledge or experience. All that is required is an internet-connected gadget and a passion to learn.

Career Path

  • Junior Data Scientist / ML Trainee
    Builds and tests basic machine learning models under guidance, supporting analytics pipelines and proof-of-concept work.
     Salary = £30,000–£40,000/year (graduate machine learning engineers can expect a starting salary of £35,000)

  • Data Scientist
    Applies statistical modelling and machine learning (including deep learning) to extract insights and build predictive systems.
     Salary = £41,000–£74,000/year (typical UK range £41,034–£73,771, average £54,397 per year)

  • Machine Learning Engineer
    Designs, trains, and deploys neural network models into production software and systems.
     Salary = £47,000–£106,000/year (typical UK range £47,585–£106,025, average £68,706 per year), rising to £81,081 per year in London

  • Deep Learning Engineer
    Specialises in designing and optimising neural network architectures (CNNs, RNNs, Transformers) for AI applications.
     Salary = £45,000–£75,000/year (average £49,824 per year in the UK)

  • NLP Engineer / AI Specialist
    Builds neural-network-based language models and AI systems for text understanding, chatbots, and generative AI.
     Salary = £35,000–£79,000/year (typical UK range £34,905–£79,237, average £52,591 per year), with specialists reaching £55,000–£105,000 per year depending on experience and project complexity 

  • Senior ML Engineer / AI Research Scientist
    Leads deep learning research, publishes findings, and drives AI strategy across an organisation’s technical teams.
     Salary = £95,000–£170,000+/year (median UK machine learning engineer salary £95,000 per year, with the 75th percentile at £100,000), and senior/specialised roles reaching £120,000, or up to £170,000 at large multinational companies

Certification:​

Once you have successfully completed this course, you can order a certificate as proof of your achievement.

A PDF certificate is available for £5.99. You can also request a hardcopy certificate for £9.99.

Delivery of the hardcopy certificate is free within the United Kingdom. For international learners, an additional delivery charge will apply based on the destination country.

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I have studied a few courses and have…

I have studied a few courses and have found the whole experience quick and efficient, and believe the courses will help contribute to my job in the Healthcare. Fabulous!

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A clear and concise course

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