Professional Certificate in AI in Recommendation Systems for Computer Engineers

Thursday, 12 February 2026 23:31:21

International applicants and their qualifications are accepted

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Overview

Overview

Artificial Intelligence (AI) is revolutionizing the way we interact with technology, and Recommendation Systems are at the forefront of this revolution.

As a computer engineer, you're likely familiar with the concept of recommendation systems, but do you know how to build one from scratch?

This Professional Certificate in AI in Recommendation Systems is designed specifically for computer engineers who want to learn the skills needed to develop intelligent systems that can learn from data and make predictions.

Through a combination of theoretical foundations and practical applications, you'll learn how to design, implement, and evaluate recommendation systems using AI techniques such as collaborative filtering, content-based filtering, and matrix factorization.

You'll also explore the latest advancements in AI and their applications in recommendation systems, including deep learning and natural language processing.

By the end of this program, you'll be equipped with the knowledge and skills to build scalable and effective recommendation systems that can drive business success.

So why wait? Explore the world of AI-powered recommendation systems today and discover how you can stay ahead of the curve in the tech industry.

AI in Recommendation Systems is revolutionizing the way we interact with technology, and this Professional Certificate course is designed to equip computer engineers with the skills to harness its power. By learning the fundamentals of AI and Recommendation Systems, you'll gain a deep understanding of how to build personalized experiences that drive engagement and conversion. With this course, you'll benefit from AI-powered insights, data-driven decision-making, and scalable solutions that can be applied to a wide range of industries. Upon completion, you'll be poised for a career in AI-driven industries, with opportunities in e-commerce, finance, and more.

Entry requirements

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


• Matrix Factorization for Collaborative Filtering

• Deep Learning for Recommendation Systems

• Natural Language Processing for Text-Based Recommendations

• Content-Based Filtering with User Profiling

• Hybrid Recommendation Systems

• Recommendation Systems for E-commerce and Retail

• Personalization Techniques for Targeted Recommendations

• Handling Cold Start and Sparsity in Recommendation Systems

• Evaluation Metrics and Benchmarking for Recommendation 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

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

Key facts about Professional Certificate in AI in Recommendation Systems for Computer Engineers

The Professional Certificate in AI in Recommendation Systems for Computer Engineers is a comprehensive program designed to equip computer science professionals with the necessary skills to develop intelligent systems that can learn from data and make predictions.
Upon completion of this program, learners will have gained a deep understanding of the fundamental concepts of Artificial Intelligence (AI) and Recommendation Systems, including machine learning algorithms, data preprocessing, and model evaluation.
The program covers a range of topics, including natural language processing, collaborative filtering, content-based filtering, and hybrid approaches to recommendation systems. Learners will also learn how to implement these concepts using popular AI frameworks such as TensorFlow and PyTorch.
The duration of the program is approximately 12 weeks, with learners completing a series of online courses and projects that culminate in a final capstone project. This hands-on approach ensures that learners gain practical experience in developing recommendation systems.
The Professional Certificate in AI in Recommendation Systems is highly relevant to the computer engineering industry, where the demand for AI-powered systems is on the rise. By acquiring this skillset, computer engineers can enhance their career prospects and contribute to the development of innovative AI-powered applications.
Industry professionals can also benefit from this program, as it provides a solid foundation in AI and recommendation systems that can be applied to a range of industries, including e-commerce, entertainment, and healthcare.
The program is designed to be accessible to learners with varying levels of prior experience, making it an excellent option for those looking to upskill or reskill in the field of AI and recommendation systems.

Why this course?

Professional Certificate in AI for Recommendation Systems is a highly sought-after skill in today's market, with the UK's AI market expected to reach £4.1 billion by 2025, growing at a CAGR of 22% (Source: ResearchAndMarkets). To stay competitive, computer engineers need to acquire expertise in AI-driven recommendation systems.
UK AI Market Size (2020) UK AI Market Size (2025)
£1.5 billion £4.1 billion

Who should enrol in Professional Certificate in AI in Recommendation Systems for Computer Engineers?

Ideal Audience for Professional Certificate in AI in Recommendation Systems Computer Engineers with a passion for Artificial Intelligence and Data Science
Key Characteristics: Proficient in programming languages such as Python, Java, or C++, with a strong understanding of computer systems and software engineering.
Background in Computer Science: Typically holds a degree in Computer Science, Information Technology, or a related field, with a solid foundation in algorithms, data structures, and software engineering.
Career Goals: Seeking to apply AI and machine learning techniques to develop intelligent systems that can learn from data, with a focus on recommendation systems and personalized experiences.
UK Statistics: According to a report by ResearchAndMarkets.com, the UK AI market is expected to reach £4.9 billion by 2025, with a growth rate of 22.1% per annum.