Masterclass Certificate in AI Algorithms: Neural Network Applications

-- viewing now

The Masterclass Certificate in AI Algorithms: Neural Network Applications is a comprehensive course that equips learners with essential skills in artificial intelligence and neural network applications. This course is crucial in today's technology-driven world, where AI is revolutionizing various industries, from healthcare to finance and beyond.

4.0
Based on 3,414 reviews

7,849+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

About this course

With a strong focus on the practical application of AI algorithms, this course covers a range of topics including deep learning, computer vision, and natural language processing. Learners will gain hands-on experience in building and implementing neural networks, making them highly sought after in the job market. By earning this certificate, learners will demonstrate a deep understanding of AI algorithms and neural network applications, positioning them for career advancement and success in this rapidly growing field. This course is essential for anyone looking to stay ahead of the curve in AI and take their career to the next level.

100% online

Learn from anywhere

Shareable certificate

Add to your LinkedIn profile

2 months to complete

at 2-3 hours a week

Start anytime

No waiting period

Course Details


• Unit 1: Introduction to AI Algorithms and Neural Networks
• Unit 2: Perceptron Algorithms and Single Layer Neural Networks
• Unit 3: Backpropagation Algorithm and Multi-Layer Neural Networks
• Unit 4: Convolutional Neural Networks (CNN) and Computer Vision Applications
• Unit 5: Recurrent Neural Networks (RNN) and Natural Language Processing (NLP)
• Unit 6: Deep Learning Frameworks: TensorFlow, PyTorch, and Keras
• Unit 7: Optimization Techniques in Neural Networks
• Unit 8: Transfer Learning and Model Training Strategies
• Unit 9: Generative Adversarial Networks (GAN) and Unsupervised Learning
• Unit 10: Real-World Applications and Case Studies of Neural Networks

Career Path

Entry Requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

Why people choose us for their career

Loading reviews...

Frequently Asked Questions

What makes this course unique compared to others?

How long does it take to complete the course?

What support will I receive during the course?

Is the certificate recognized internationally?

What career opportunities will this course open up?

When can I start the course?

What is the course format and learning approach?

Course fee

MOST POPULAR
Fast Track: GBP £140
Complete in 1 month
Accelerated Learning Path
  • 3-4 hours per week
  • Early certificate delivery
  • Open enrollment - start anytime
Start Now
Standard Mode: GBP £90
Complete in 2 months
Flexible Learning Pace
  • 2-3 hours per week
  • Regular certificate delivery
  • Open enrollment - start anytime
Start Now
What's included in both plans:
  • Full course access
  • Digital certificate
  • Course materials
All-Inclusive Pricing • No hidden fees or additional costs

Get course information

We'll send you detailed course information

Pay as a company

Request an invoice for your company to pay for this course.

Pay by Invoice

Earn a career certificate

Sample Certificate Background
MASTERCLASS CERTIFICATE IN AI ALGORITHMS: NEURAL NETWORK APPLICATIONS
is awarded to
Learner Name
who has completed a programme at
London College of Foreign Trade (LCFT)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
SSB Logo

4.8
New Enrollment