Masterclass Certificate in Knowledge Graphs for Recommendations

Sunday, 14 September 2025 08:21:28

International applicants and their qualifications are accepted

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Overview

Overview

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Masterclass Certificate in Knowledge Graphs for Recommendations equips you with the skills to build powerful recommendation systems.


Learn to leverage knowledge graphs for improved accuracy and personalization.


This program covers semantic technologies, link prediction, and recommendation algorithms.


Designed for data scientists, machine learning engineers, and anyone interested in advanced recommendation systems.


Master the art of building sophisticated knowledge graphs and integrating them into your applications.


Gain a competitive edge in the field of data-driven recommendations.


Earn a valuable Masterclass Certificate upon completion.


Enroll now and unlock the potential of knowledge graphs for revolutionary recommendations!

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Masterclass Certificate in Knowledge Graphs for Recommendations equips you with the in-demand skills to build and leverage knowledge graphs for superior recommendation systems. Learn to design, implement, and evaluate cutting-edge recommendation algorithms using graph databases and semantic technologies. This intensive program covers real-world applications, boosting your career prospects in data science, AI, and machine learning. Gain a competitive edge with hands-on projects and a certificate recognized by industry leaders. Develop expertise in knowledge graph construction, RDF, and ontology engineering for enhanced recommendation accuracy and user experience. This Masterclass will transform your understanding of knowledge graphs.

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 Knowledge Graphs and their Applications in Recommender Systems
• Building Knowledge Graphs: Data Acquisition, Integration, and Ontology Design
• Knowledge Representation and Reasoning for Recommendations: RDF, OWL, and SPARQL
• Advanced Knowledge Graph Embedding Techniques for Improved Recommendation Accuracy
• Implementing Knowledge-Based Recommender Systems: Algorithms and Architectures
• Evaluating and Tuning Knowledge Graph-based Recommendation Systems
• Case Studies: Real-world Applications of Knowledge Graphs in Recommendation Engines
• Ethical Considerations and Bias Mitigation in Knowledge Graph-based Recommendations
• Future Trends and Research Directions in Knowledge Graph Recommendations

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

40% Cheaper

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

Knowledge Graph Expert Career Outlook (UK)

Role Description
Senior Data Scientist (Knowledge Graphs) Leads the design and implementation of large-scale knowledge graph solutions for recommendation systems, leveraging advanced graph algorithms and machine learning techniques. High demand, excellent salary.
Knowledge Graph Engineer Develops and maintains robust knowledge graph infrastructure, including data modeling, ontology design, and ETL processes for recommendation engines. Strong growth potential, competitive salary.
Data Scientist (Recommendation Systems) Focuses on building and optimizing recommendation algorithms using knowledge graphs to improve accuracy and personalization. Growing demand, attractive salary package.
AI/ML Engineer (Knowledge Graphs) Applies machine learning and AI techniques to knowledge graphs for improved recommendation systems and data insights. High skill demand, above-average salary.

Key facts about Masterclass Certificate in Knowledge Graphs for Recommendations

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This Masterclass Certificate in Knowledge Graphs for Recommendations equips you with the skills to build and leverage knowledge graphs for advanced recommendation systems. You'll learn to design, implement, and evaluate these systems, moving beyond basic collaborative filtering and content-based approaches.


The program covers a range of topics, including knowledge graph construction, semantic technologies, reasoning and inference techniques, and the integration of knowledge graphs with recommendation algorithms. Learning outcomes include the ability to design knowledge graph-based recommendation architectures, implement relevant algorithms using popular frameworks like RDF and Neo4j, and critically assess the performance of such systems. You will also develop skills in data modeling and ontology engineering.


The duration of the Masterclass Certificate in Knowledge Graphs for Recommendations is typically structured to accommodate working professionals, offering flexible learning options to fit individual schedules. Specific timings would need to be confirmed through the program provider.


In today's data-driven world, mastering knowledge graph technology is crucial. This certificate significantly enhances your career prospects across various industries including e-commerce, media and entertainment, and finance. Companies are increasingly seeking professionals with expertise in building intelligent recommendation engines, making this Masterclass highly relevant to the current job market. The skills gained are highly transferable and valuable to organizations seeking to improve customer experience and personalize their offerings through data-driven insights. This program provides a strong foundation in semantic web technologies and machine learning techniques.


Successful completion of the program results in a Masterclass Certificate, demonstrating your proficiency in building Knowledge Graphs for Recommendations to prospective employers. This certification adds significant weight to your resume and portfolio.

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Why this course?

A Masterclass Certificate in Knowledge Graphs is increasingly significant for professionals seeking to leverage the power of recommendation systems. In today's data-driven market, the ability to build and utilize knowledge graphs for personalized recommendations is highly sought after. The UK's e-commerce sector, for instance, is booming, with recent statistics indicating a significant rise in online shopping. This growth fuels the demand for sophisticated recommendation engines to enhance user experience and drive sales.

Sector Growth (%)
E-commerce 15
Fintech 12
Streaming Services 8

Understanding knowledge graph technologies is crucial for optimizing recommendation algorithms, leading to improved customer engagement and business outcomes. This Masterclass equips learners with the skills needed to design, implement, and evaluate effective recommendation systems, making them highly competitive in the current job market. The certificate demonstrates a specialized skillset, validating expertise in a rapidly evolving field.

Who should enrol in Masterclass Certificate in Knowledge Graphs for Recommendations?

Ideal Audience for Masterclass Certificate in Knowledge Graphs for Recommendations Target Profile
Data Scientists and Analysts Leverage knowledge graph technologies to build sophisticated recommendation systems. According to a recent UK survey, demand for data scientists with expertise in AI and machine learning is growing rapidly (replace with actual statistic if available).
Software Engineers and Developers Implement and optimize knowledge graph-based recommendation engines, integrating them into existing applications. This masterclass will provide valuable skills in semantic technologies and graph databases.
Machine Learning Engineers Enhance recommendation models with the power of knowledge graphs, improving accuracy and personalization. Develop expertise in ontology engineering and RDF data modeling.
Business Analysts and Strategists Understand the strategic value of knowledge graphs for improved business decision-making and personalized customer experiences. Gain insight into optimizing recommendation systems for maximum ROI.