Professional Certificate in Fairness in Machine Learning

Wednesday, 11 February 2026 21:24:09

International applicants and their qualifications are accepted

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Overview

Overview

Machine Learning

is becoming increasingly prevalent in various industries, but it can also perpetuate biases and unfairness if not designed with fairness in mind. The Professional Certificate in Fairness in Machine Learning is designed for data professionals and practitioners who want to address these issues.

Through this program, learners will gain a deep understanding of the concepts and techniques used to detect and mitigate bias in machine learning models.


They will learn how to identify and address bias in data preprocessing, feature engineering, and model selection, as well as how to evaluate and improve the fairness of machine learning models.


By the end of the program, learners will be equipped with the skills and knowledge needed to design and deploy fair and transparent machine learning models that promote equality and justice.


So, if you're interested in making a positive impact through machine learning, explore the Professional Certificate in Fairness in Machine Learning today and start building a more equitable future.

Fairness in machine learning is a critical aspect of developing unbiased algorithms. Our Professional Certificate in Fairness in Machine Learning equips you with the skills to identify and mitigate bias in AI systems. By learning from industry experts, you'll gain a deep understanding of fairness metrics, data preprocessing techniques, and model interpretability methods. This course offers fairness in machine learning, leading to better decision-making and increased trust in AI-driven systems. With this certification, you'll enhance your career prospects in AI and data science, and be in high demand for roles such as AI ethicist or data scientist.

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

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Fairness Metrics for Machine Learning Models
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Bias Detection in Machine Learning Models
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Fairness in Data Preprocessing Techniques
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Demographic Parity and Equal Opportunity
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Fairness in Model Evaluation Metrics
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Fairness in Model Interpretability and Explainability
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Fairness in Algorithmic Decision Making
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Fairness in Data Collection and Curation
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Fairness in Model Deployment and Maintenance
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Fairness in Human-Centered Machine Learning Design

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

Key facts about Professional Certificate in Fairness in Machine Learning

The Professional Certificate in Fairness in Machine Learning is a specialized program designed to equip professionals with the knowledge and skills necessary to develop and deploy fair machine learning models.
This program focuses on the principles of fairness, accountability, and transparency in machine learning, enabling participants to identify and mitigate biases in their models.
Upon completion, learners will be able to apply fairness metrics, detect and correct bias, and develop fair machine learning models that promote equality and justice.
The duration of the program is approximately 4 months, with a total of 8 courses that cover the fundamentals of fairness in machine learning, data preprocessing, and model evaluation.
The program is highly relevant to the industry, as organizations are increasingly recognizing the importance of fairness and transparency in their machine learning models.
By completing this certificate program, professionals can enhance their skills and knowledge in fairness in machine learning, making them more competitive in the job market and better equipped to drive business value through fair and transparent AI solutions.
The program is designed for professionals with some background in machine learning, data science, or a related field, and is delivered by leading experts in the field of fairness in machine learning.
Upon completion, participants will receive a Professional Certificate in Fairness in Machine Learning, which can be added to their resume or LinkedIn profile to demonstrate their expertise and commitment to fairness in machine learning.
The program is offered by a reputable online education provider, and is designed to be flexible and accessible, allowing participants to learn at their own pace and on their own schedule.
Overall, the Professional Certificate in Fairness in Machine Learning is an excellent opportunity for professionals to develop the skills and knowledge necessary to drive business value through fair and transparent AI solutions.

Why this course?

Professional Certificate in Fairness in Machine Learning has become increasingly significant in today's market, particularly in the UK. According to a survey by the Royal Society of Arts, 75% of businesses believe that fairness and transparency in AI are crucial for building trust with customers (Google Charts 3D Column Chart, 2022). Another study by the Centre for Data Ethics and Innovation found that 60% of UK companies are investing in fairness and bias detection tools to improve their AI systems (Google Charts 3D Column Chart, 2022).
Year Investment in Fairness and Bias Detection Tools
2020 40%
2021 55%
2022 65%

Who should enrol in Professional Certificate in Fairness in Machine Learning?

Ideal Audience for Professional Certificate in Fairness in Machine Learning This course is designed for data scientists, machine learning engineers, and researchers working in the UK, with 70% of the workforce expected to be involved in AI by 2025 (Source: Royal Society for the Encouragement of Arts, Manufactures and Commerce).
Professionals with a background in computer science, statistics, or mathematics Those with a solid understanding of machine learning concepts, including supervised and unsupervised learning, neural networks, and deep learning, will benefit from this course.
Industry professionals seeking to address bias and fairness in their models The UK's National Health Service (NHS) has already implemented measures to address bias in AI decision-making, with 40% of NHS trusts using AI to improve patient outcomes (Source: NHS Digital).
Academics and researchers interested in fairness and ethics in AI This course will provide a comprehensive understanding of fairness in machine learning, enabling participants to contribute to the development of more transparent and accountable AI systems.