Global Certificate Course in Recommender Systems for Adtech

Saturday, 17 January 2026 17:19:24

International applicants and their qualifications are accepted

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Overview

Overview

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Recommender Systems are revolutionizing AdTech. This Global Certificate Course provides a comprehensive understanding of building and deploying effective recommendation engines.


Designed for data scientists, engineers, and marketing professionals, this course covers collaborative filtering, content-based filtering, and hybrid approaches. Learn to leverage machine learning algorithms for personalized advertising.


Master model evaluation and deployment strategies within the AdTech ecosystem. Gain practical skills and build a portfolio-ready project. This Recommender Systems course boosts your career prospects significantly.


Enroll now and become a leading expert in Recommender Systems for AdTech. Explore the course details today!

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Recommender Systems are revolutionizing AdTech, and our Global Certificate Course empowers you to lead this change. Master cutting-edge algorithms and techniques for building personalized recommendation engines in this intensive online course. Gain practical skills in collaborative filtering, content-based filtering, and deep learning for ad personalization and optimization. Boost your career prospects in data science, machine learning, and advertising technology. This unique curriculum includes real-world case studies and industry expert mentorship, setting you apart in a competitive market. Become a sought-after expert in Recommender Systems for AdTech.

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 Recommender Systems in AdTech
• Collaborative Filtering Techniques (Matrix Factorization, Neighborhood-based)
• Content-Based Filtering and Hybrid Approaches
• Deep Learning for Recommender Systems (Neural Networks, Autoencoders)
• Evaluation Metrics for Recommender Systems (Precision, Recall, NDCG)
• Ad Targeting and Personalization Strategies
• A/B Testing and Experiment Design for Recommender Systems
• Scalable Recommender Systems Architecture (Big Data Technologies)
• Ethical Considerations and Bias Mitigation in Recommender Systems
• Case Studies and Real-world Applications of Recommender Systems in AdTech

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 in Recommender Systems (AdTech - UK) Description
Recommender Systems Engineer Develop and maintain algorithms for personalized recommendations, leveraging machine learning and data science expertise. Strong programming skills in Python are essential.
Data Scientist (Recommender Systems) Analyze large datasets to extract insights and improve recommendation accuracy. Experience with A/B testing and model evaluation is key. Focus on statistical modelling and algorithm optimization for the AdTech industry.
Machine Learning Engineer (AdTech Focus) Build and deploy machine learning models for personalized advertising, incorporating recommender systems into broader ad targeting strategies. Expertise in cloud platforms (AWS, GCP, Azure) a plus.

Key facts about Global Certificate Course in Recommender Systems for Adtech

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This Global Certificate Course in Recommender Systems for Adtech equips participants with the skills to design, implement, and evaluate cutting-edge recommendation systems. The program focuses on the unique challenges and opportunities within the advertising technology sector, making it highly relevant to professionals seeking career advancement or a change into this dynamic field.


Learning outcomes include a deep understanding of collaborative filtering, content-based filtering, and hybrid approaches. Students will gain hands-on experience with popular recommendation algorithms and learn to leverage machine learning techniques for personalized advertising. Data mining and evaluation metrics are also key components of the curriculum, crucial for building effective and scalable systems.


The course duration is typically flexible, allowing students to learn at their own pace while still benefitting from structured learning modules and expert support. Specific durations vary depending on the provider, but expect a significant time investment to master the concepts and complete the practical projects involved.


Industry relevance is paramount. A strong understanding of recommender systems is increasingly vital in Adtech, enabling companies to deliver highly targeted and personalized advertising campaigns, improving user engagement and maximizing advertising revenue. This Global Certificate Course provides the practical skills and theoretical knowledge needed to thrive in this competitive industry, directly impacting job prospects and earning potential.


The course integrates real-world case studies and examples, allowing students to apply learned concepts to practical scenarios. This ensures that graduates possess not only theoretical knowledge but also the practical skills required by employers in the advertising technology sector, particularly those involved in targeted advertising, personalization, and user experience improvement.

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Why this course?

Company AdTech Investment (£m)
Company A 15
Company B 22
Company C 10

Global Certificate Course in Recommender Systems for Adtech is increasingly significant in today's competitive market. The UK adtech sector, valued at £20 billion, shows substantial growth. A recent study indicates that 70% of UK businesses now utilise sophisticated recommendation engines. This surge in adoption highlights a pressing need for skilled professionals proficient in developing and deploying effective recommender systems. The course addresses this need by providing comprehensive training on algorithms, evaluation metrics, and real-world applications. Mastering these techniques is crucial for optimizing ad campaigns, personalizing user experiences, and maximizing ROI. A strong understanding of recommender system technologies offers a competitive edge in the UK's dynamic adtech landscape, benefiting professionals and employers alike. This Global Certificate equips learners with in-demand skills, paving the way for career advancement and contributing to the growth of the UK adtech industry.

Who should enrol in Global Certificate Course in Recommender Systems for Adtech?

Ideal Audience for our Global Certificate Course in Recommender Systems for Adtech
This Recommender Systems course is perfect for marketing professionals, data scientists, and engineers aiming to leverage cutting-edge AI and machine learning for personalized advertising. With the UK digital advertising market exceeding £30 billion annually (Source: Statista), mastering adtech and recommendation algorithms is crucial for career advancement. This program benefits those seeking to improve campaign performance, enhance customer engagement, and build effective personalized advertising strategies. Individuals with a background in statistics or programming will find the course especially beneficial, but prior experience isn't mandatory. Whether you're looking to upskill in a growing field or seeking a competitive edge in your current role, this Global Certificate Course will equip you with the practical skills to succeed.