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Course Includes:
  • ci Online Study Mode
  • ci 450 Hours
  • ci Study at your own Pace
  • ci Completion Certificate

Key Aspects of Course

  • icon Level 5 Diploma
  • icon Full Online Course
  • icon CPD Approved
  • icon Employer Approved
  • icon Fully Endorsed Course
  • icon 450 Hours Training
  • icon No Entry Requirements
  • icon Boost Your Resume
  • icon Own Pace Study
  • icon Premium Course Material
  • icon Completion Certificate
Special offer

£80

£400
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Convolutional Neural Net Course

 

Convolutional Neural Net Course, also known as CNN Course, is an immersive learning experience designed to equip you with the knowledge and skills necessary to understand and implement Convolutional Neural Networks (CNNs). Throughout the Level 5 Diploma in Convolutional Neural Net Course, you will delve into the intricacies of CNN architectures, explore practical applications, and learn optimization techniques to enhance performance.

 

In this Convolutional Neural Net Course, you will embark on a journey through the mandatory modules, covering fundamental concepts such as Convolutional Layers, Activation Functions, and Transfer Learning with CNNs. You'll dive deep into CNN architectures, exploring how they are designed and implemented, and gain hands-on experience in optimizing and fine-tuning CNN models for various tasks.

 

How Will You Study?

 

Our Level 5 Diploma in Convolutional Neural Net Course offers a flexible and dynamic learning experience. Through a combination of engaging video lectures, interactive tutorials, hands-on projects, and supplemental reading materials, you'll have the opportunity to grasp complex CNN concepts at your

own pace. Additionally, our expert instructors are available to provide guidance and support whenever you need it, ensuring a rewarding learning journey.

 

Assessment Methods:

 

To evaluate your comprehension and proficiency in Convolutional Neural Networks, we utilize a variety of assessment methods, all based on Multiple Choice Questions (MCQs). These assessments are designed to gauge your understanding of CNN techniques and their practical application, ensuring a comprehensive evaluation of your skills in this field.

 

Results and Diploma:

 

Upon successful completion of all mandatory modules and achieving passing scores in the MCQ-based assessments, you will be awarded the Level 5 Diploma in Convolutional Neural Net Course. This esteemed diploma, accredited by CPD, validates your expertise in CNNs, demonstrating your ability to design, implement, and optimize Convolutional Neural Networks effectively. It signifies your readiness to pursue rewarding career opportunities in artificial intelligence and machine learning.

Learning Outcomes
  • Fundamentals of neural networks and deep learning
  • Image recognition and computer vision applications
  • Training / testing and evaluating CNN models
  • Implementing CNNs with frameworks like TensorFlow and PyTorch
  • Architecture and design of convolutional neural networks
  • Data preprocessing and augmentation techniques
  • Transfer learning and fine-tuning pre-trained models Regularisation and optimisation strategies
  • Applying CNNs to real-world problems (healthcare / finance / robotics etc.)
Who should learn
this course
  • Aspiring AI and machine learning professionals
  • Data scientists and analysts
  • Software engineers and developers
  • Researchers in computer vision and AI
  • Students pursuing careers in artificial intelligence
  • Professionals seeking advanced deep learning skills
  • Tech enthusiasts looking to apply CNNs in innovative fields

SYLLABUS

Module 1

Module 1

Introduction to Convolutional Neural Networks

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Module 2

Module 2

Convolutional Layers

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Module 3

Module 3

Activation Functions and Regularization Techniques

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Module 4

Module 4

CNN Architectures

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Module 5

Module 5

Transfer Learning with CNNs

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Module 6

Module 6

Practical Applications of CNNs

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Module 7

Module 7

Optimization and Performance Tuning

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Module 8

Module 8

Future Trends and Innovations in CNNs

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Future market Growth
250 Billion

Expected Artificial Intelligence market growth by the end of 2026

90% Growth

Increased in growth in different learning organizations

Career opportunities

Average Salary

£50k - £110k per Annum

Hiring Companies

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Certifications
Frequently Asked Questions (FAQs)

Our AI Intelligence courses are entirely self-paced, allowing you to study whenever it suits you best. Whether you finish quickly or take your time, there are no deadlines or expiry dates.

No attendance is required. All Artificial Intelligence study materials and assessments are delivered online, enabling full home-study learning without any campus visits.

The course fee displayed on the website includes everything—learning materials, registration, and tutor support. Unless you decide to upgrade your certificate, there are no additional charges.

You’ll be guided by a dedicated tutor who specialises in Artificial Intelligence. They will assist with academic questions, clarify difficult topics, and provide detailed assessment feedback.

Absolutely. Our AI Intelligence courses are open to learners worldwide. As long as you have internet access, you can join from any country.

Our introductory AI Intelligence courses are created specifically for newcomers. They focus on foundational AI concepts before moving into advanced algorithms and applications, making them ideal for first-time learners.

All you’ll need is a laptop or computer with a stable internet connection. Every learning resource, including modules and assessments, is provided digitally—no additional software is required.

Yes. The entire learning journey is completed online, including lessons, reading materials, assignments, and tutor communication. There is no requirement for in-person training.

Upon finishing your chosen programme, you’ll receive an endorsed certificate that can enhance your CV and support your entry into the growing Artificial Intelligence industry.

Completing an AI course can lead to roles such as AI technician, data analyst, machine learning assistant, automation specialist, or support positions within tech-driven companies. Advanced study may open doors to senior AI and machine learning roles.