Undergraduate Certificate in Machine Learning Recommender Systems

-- viewing now

The Undergraduate Certificate in Machine Learning Recommender Systems is a career-advancing course designed to equip learners with essential skills in machine learning and recommender systems. This certificate program is critical for professionals seeking to enhance their knowledge and expertise in this rapidly growing field.

4.0
Based on 5,434 reviews

4,018+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

About this course

Recommender systems are a crucial component of many modern technologies, from e-commerce platforms to social media networks. With this course, learners will gain a deep understanding of the underlying principles and applications of recommender systems, as well as the machine learning techniques used to develop and optimize them. Through hands-on experience with real-world applications and projects, learners will develop a strong portfolio of work to showcase their skills to potential employers. By the end of this course, learners will be well-prepared to take on roles such as Machine Learning Engineer, Data Scientist, or Recommender Systems Specialist, and will be able to contribute to the development of cutting-edge technologies in this exciting field.

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

• Introduction to Machine Learning & Recommender Systems
• Data Preprocessing for Recommender Systems
• Collaborative Filtering: User-Based & Item-Based Approaches
• Content-Based Filtering & Hybrid Methods
• Matrix Factorization Techniques in Recommender Systems
• Deep Learning for Recommender Systems
• Evaluation Metrics for Recommender Systems
• Implementing Recommender Systems with Python & Scikit-learn
• Real-World Challenges & Best Practices in Recommender Systems

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
UNDERGRADUATE CERTIFICATE IN MACHINE LEARNING RECOMMENDER SYSTEMS
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
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