Professional Certificate in Machine Learning for Recommendation Engines

Wednesday, 25 February 2026 14:25:36

International applicants and their qualifications are accepted

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Overview

Overview

Machine Learning for Recommendation Engines: This Professional Certificate equips you with the skills to build sophisticated recommendation systems.


Learn collaborative filtering, content-based filtering, and hybrid approaches. Master crucial algorithms like matrix factorization and deep learning techniques for personalized recommendations.


The program is ideal for data scientists, software engineers, and anyone wanting to improve user experience through personalized content delivery. You'll gain hands-on experience using Python and popular libraries like TensorFlow and Scikit-learn to build and evaluate your own recommendation engines. This Machine Learning for Recommendation Engines certificate boosts your career prospects significantly.


Enroll today and master the art of recommendation systems! Explore the full curriculum and start your application now.

Machine Learning for Recommendation Engines: This professional certificate program equips you with in-demand skills in building sophisticated recommendation systems. Learn cutting-edge techniques in collaborative filtering, content-based filtering, and deep learning for personalization. Gain hands-on experience through real-world projects, boosting your portfolio and preparing you for roles in data science and machine learning engineering. Boost your career prospects in e-commerce, entertainment, and advertising. This certificate provides a unique blend of theoretical knowledge and practical application of machine learning algorithms, making you a highly sought-after candidate. Enroll now and unlock your potential in this exciting field!

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Introduction to Recommendation Systems and Machine Learning
• Collaborative Filtering Techniques (User-based and Item-based)
• Content-Based Filtering and Hybrid Approaches
• Matrix Factorization and Latent Factor Models (Singular Value Decomposition, Alternating Least Squares)
• Deep Learning for Recommendation: Neural Networks and Autoencoders
• Evaluation Metrics for Recommendation Systems (Precision, Recall, NDCG, RMSE)
• Building and Deploying Recommendation Engines (using Python and relevant libraries)
• Advanced Topics: Context-aware Recommendation and Cold-start Problem
• Case Studies and Real-world Applications of Recommendation Systems
• Ethical Considerations and Bias Mitigation in Recommendation Engines

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:

1 month (Fast-track mode): 140
2 months (Standard mode): 90

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Machine Learning & Recommendation Engines) Description
Machine Learning Engineer (Recommendation Systems) Develop and deploy sophisticated recommendation algorithms, leveraging cutting-edge machine learning techniques to enhance user experience. High demand, excellent salary prospects.
Data Scientist (Recommendation Engines) Analyze vast datasets to identify patterns and build predictive models for personalized recommendations, improving business outcomes. Strong analytical and communication skills required.
AI/ML Consultant (Recommendation Systems) Advise clients on implementing recommendation engine solutions, providing expert guidance on machine learning strategies and technologies. Requires strong problem-solving abilities and business acumen.
Software Engineer (Recommendation Systems) Build and maintain the infrastructure supporting recommendation engines, ensuring scalability and performance. Proficient in relevant programming languages and cloud platforms.

Key facts about Professional Certificate in Machine Learning for Recommendation Engines

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A Professional Certificate in Machine Learning for Recommendation Engines provides specialized training in building and deploying effective recommendation systems. Students will gain practical skills in data preprocessing, model selection, and algorithm optimization crucial for this rapidly growing field.


Learning outcomes include mastering collaborative filtering, content-based filtering, and hybrid approaches. You will develop proficiency in using popular machine learning libraries like TensorFlow and PyTorch, essential tools for any recommendation system engineer. Furthermore, the program emphasizes model evaluation metrics and A/B testing methodologies for optimal performance.


The program's duration typically ranges from several months to a year, depending on the intensity and structure of the course. This allows for in-depth exploration of concepts and sufficient time to complete hands-on projects, thereby improving your job readiness.


The industry relevance of this certificate is undeniable. Recommendation engines are used across diverse sectors, from e-commerce and streaming services to social media and personalized advertising. Graduates will possess in-demand skills highly sought after by companies seeking to enhance user experience and drive engagement through data-driven personalization. This includes expertise in big data processing and natural language processing (NLP) where applicable.


Ultimately, this Professional Certificate in Machine Learning for Recommendation Engines equips you with the knowledge and practical abilities to excel in a high-demand area of data science, offering significant career advancement opportunities in the tech industry.

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Why this course?

A Professional Certificate in Machine Learning for Recommendation Engines is increasingly significant in today's UK job market. The demand for skilled professionals in this area is booming, driven by the e-commerce boom and personalized user experiences. According to a recent study (fictional data used for illustrative purposes), 75% of UK-based businesses are actively seeking employees with expertise in machine learning algorithms for improved recommendation systems.

This certificate provides the crucial skills to build and deploy effective recommendation engines, leveraging techniques like collaborative filtering and content-based filtering. Mastering these techniques is vital for organizations looking to enhance customer engagement and drive sales. Data from the Office for National Statistics (fictional data) shows a projected 30% increase in machine learning-related roles within the next five years, emphasizing the growing need for professionals with this specialization. This presents a lucrative opportunity for career advancement and increased earning potential.

Year Job Postings (Machine Learning)
2022 15,000
2023 (Projected) 19,500

Who should enrol in Professional Certificate in Machine Learning for Recommendation Engines?

Ideal Audience for a Professional Certificate in Machine Learning for Recommendation Engines Characteristics
Data Scientists & Analysts Seeking to enhance their skills in building sophisticated recommendation systems using machine learning algorithms and techniques, leveraging data analysis for improved business outcomes. The UK currently has a high demand for data professionals with expertise in AI, and this certificate can help meet that need.
Software Engineers Interested in integrating powerful recommendation engines into existing applications or building new ones, mastering the implementation of models in production environments. This specialization complements core programming skills, providing a competitive edge in the UK tech market.
Business Professionals Looking to understand the application and business impact of recommendation systems, making data-driven decisions to optimize customer engagement and revenue. The ability to interpret and utilize data-driven insights, made possible through recommendation engine development, is crucial for success in many UK businesses.
Graduates Aspiring to launch careers in the exciting and rapidly growing field of machine learning, particularly in the area of recommendation systems, to gain practical experience for immediate employment in the UK's dynamic job market.