Professional Certificate in Explainable AI in Recommendation Systems

Wednesday, 11 February 2026 11:30:14

International applicants and their qualifications are accepted

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Overview

Overview

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Explainable AI in Recommendation Systems is a rapidly growing field. This Professional Certificate provides the skills needed to build and interpret AI-driven recommendation systems.


Learn to develop transparent and understandable models. Master techniques for interpretability and model explainability. This program is ideal for data scientists, machine learning engineers, and anyone working with recommendation systems.


Understand ethical considerations. Gain practical experience with real-world case studies. Explainable AI techniques are crucial for building trust and improving user experience. This certificate will boost your career prospects significantly.


Explore the program today and become a leader in Explainable AI for recommendation systems!

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Explainable AI in Recommendation Systems: Master the art of building transparent and trustworthy AI-powered recommendation engines. This Professional Certificate equips you with cutting-edge techniques in explainable AI (XAI), enabling you to understand and interpret model decisions. Gain in-depth knowledge of machine learning algorithms and their application in recommendation systems, along with crucial skills in data analysis and visualization. Boost your career prospects in data science, AI, and machine learning. Our unique curriculum blends theoretical knowledge with practical, hands-on projects, preparing you for immediate impact. Become a sought-after expert in this rapidly growing 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 Explainable AI (XAI) and its applications in Recommendation Systems
• Fundamentals of Recommendation Systems: Collaborative Filtering, Content-Based Filtering, Hybrid Approaches
• Explainable AI Techniques for Recommendations: LIME, SHAP, Anchors
• Developing and Evaluating Explainable Recommendation Models
• Case Studies: Analyzing Explainable AI in Real-World Recommendation Systems
• Ethical Considerations and Bias Mitigation in Explainable AI for Recommendations
• Building Interactive and Transparent Recommendation Interfaces
• Advanced Topics: Counterfactual Explanations and Causal Inference in Recommender Systems

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

Career Role (Explainable AI & Recommendation Systems) Description
AI/ML Engineer (Explainable AI Focus) Develops and deploys transparent and interpretable AI models for recommendation systems, ensuring fairness and ethical considerations. High demand in e-commerce, fintech.
Data Scientist (Recommendation Systems) Builds and improves recommendation algorithms, focusing on explainability and user experience. Strong analytical and communication skills are essential.
Machine Learning Engineer (Explainable AI) Designs, implements and maintains robust and explainable machine learning models for recommendation engines. Deep understanding of model interpretability techniques required.
AI Consultant (Recommendation Systems) Advises clients on the implementation and optimization of explainable AI solutions for recommendation systems. Strong business acumen and communication vital.

Key facts about Professional Certificate in Explainable AI in Recommendation Systems

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This Professional Certificate in Explainable AI in Recommendation Systems equips participants with the skills to build and interpret AI-driven recommendation systems. You'll learn to design models that are not only accurate but also transparent and understandable, a crucial aspect of building trust and ensuring responsible AI.


Key learning outcomes include mastering techniques for building explainable recommendation models, understanding various explainability methods (like SHAP values and LIME), and implementing these methods in popular machine learning frameworks. You will also gain practical experience with real-world datasets and case studies.


The program's duration is typically structured to accommodate professionals' schedules, often spanning several weeks or months, with a blend of self-paced learning modules and instructor-led sessions. Specific details on the program duration are available upon request.


In today's data-driven world, the ability to explain AI-powered decisions is paramount. This certificate directly addresses the growing industry demand for professionals who can build trustworthy and accountable recommendation systems. Graduates will be prepared for roles involving machine learning engineering, data science, and AI ethics, contributing to various sectors such as e-commerce, marketing, and finance.


The program incorporates cutting-edge research in AI interpretability and fairness, ensuring that the knowledge imparted remains relevant and applicable to the ever-evolving landscape of AI and machine learning in recommendation systems. This focus on explainable AI ensures graduates are equipped to address challenges related to bias mitigation and user trust.


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Why this course?

A Professional Certificate in Explainable AI in Recommendation Systems is increasingly significant in today's UK market. The demand for transparency and accountability in AI-driven systems is rapidly growing, particularly within the e-commerce and financial sectors. According to a recent study by the UK government's Office for National Statistics (ONS), 68% of UK consumers expressed concern over the lack of transparency in algorithmic decision-making. This fuels the need for professionals skilled in Explainable AI (XAI), capable of building and interpreting recommendation systems that are both effective and ethically sound.

Sector Demand (%)
E-commerce 75
Finance 62
Healthcare 48
Marketing 55

This Professional Certificate equips learners with the practical skills to develop and deploy explainable recommendation systems, meeting the increasing industry need for transparent and trustworthy AI. The ability to interpret model outputs and justify recommendations is vital for mitigating bias and building consumer trust, aligning perfectly with current trends in AI ethics and regulation within the UK.

Who should enrol in Professional Certificate in Explainable AI in Recommendation Systems?

Ideal Audience for a Professional Certificate in Explainable AI in Recommendation Systems
This Explainable AI certificate is perfect for data scientists, machine learning engineers, and software developers seeking to build more transparent and trustworthy recommendation systems. With the UK's booming e-commerce sector and the increasing demand for personalized experiences, professionals with expertise in explainable AI techniques are highly sought after. This program equips you with the skills to understand and interpret AI-driven recommendations, addressing growing concerns around algorithmic bias and improving user trust. If you're a data analyst looking to enhance your skillset with model interpretability and ethical considerations, or a product manager needing to understand the technical intricacies of recommendation engines, this certificate will provide significant professional advantage. According to recent studies, the UK tech sector is experiencing a significant skills gap, particularly in AI, so upskilling in this area is crucial for career advancement.