Postgraduate Certificate in Gender-Aware AI

Friday, 20 February 2026 12:53:51

International applicants and their qualifications are accepted

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Overview

Overview

Postgraduate Certificate in Gender-Aware AI is designed for tech professionals seeking to understand and address gender bias in artificial intelligence. This program explores the intersection of gender studies and AI, equipping learners with the tools to develop ethical and inclusive AI solutions. Ideal for data scientists, engineers, and policymakers, this certificate offers a deep dive into algorithmic fairness and diversity in AI. Join us in shaping a more equitable future with Gender-Aware AI.

Explore the program today and make a difference in the world of AI!

Postgraduate Certificate in Gender-Aware AI offers a cutting-edge curriculum that delves into the intersection of gender studies and artificial intelligence. This unique program equips students with the skills to develop AI technologies that are inclusive and ethically sound. Graduates gain a competitive edge in the tech industry by understanding gender biases in AI systems and implementing strategies to mitigate them. The career prospects for individuals with expertise in Gender-Aware AI are vast, ranging from research positions to consulting roles in diverse industries. Join us and become a trailblazer in the evolution of AI.

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 Gender Studies
  • • Ethics in AI Development
  • • Gender Bias in Machine Learning Algorithms
  • • Intersectionality in AI Systems
  • • Feminist Perspectives on Technology
  • • Gender-Inclusive Design Principles
  • • Data Collection and Gender Representation
  • • Gender-Based Violence and AI Solutions
  • • Policy Implications of Gender-Aware AI
  • • Case Studies in Gender-Responsive AI Applications

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

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Postgraduate Certificate in Gender-Aware AI

Key facts about Postgraduate Certificate in Gender-Aware AI

The Postgraduate Certificate in Gender-Aware AI is designed to equip students with the knowledge and skills to develop AI technologies that are sensitive to gender biases and promote gender equality. By the end of the program, students will be able to critically analyze AI systems from a gender perspective, identify and mitigate gender biases in AI algorithms, and design AI solutions that are inclusive and equitable.

The duration of the Postgraduate Certificate in Gender-Aware AI is typically one year of full-time study or part-time equivalent. The program consists of a series of core courses that cover topics such as gender theory, ethics in AI, machine learning, and data bias. Students may also have the opportunity to undertake a research project or internship to apply their learning in a real-world setting.

The Postgraduate Certificate in Gender-Aware AI is highly relevant to industries that are increasingly using AI technologies in their operations, such as tech companies, healthcare organizations, financial institutions, and government agencies. Graduates of the program will be well-positioned to work as AI developers, data scientists, AI ethicists, or policy advisors, helping organizations navigate the complex intersection of AI and gender issues.

Why this course?

Year Number of AI-related job postings in the UK
2018 15,094
2019 21,294
2020 27,891
The Postgraduate Certificate in Gender-Aware AI is becoming increasingly significant in today's market, especially in the UK where the number of AI-related job postings has been steadily increasing over the years. In 2018, there were 15,094 job postings, which rose to 21,294 in 2019 and further to 27,891 in 2020. This trend indicates a growing demand for professionals with expertise in AI technologies. By obtaining a Postgraduate Certificate in Gender-Aware AI, individuals can differentiate themselves in the competitive job market and meet the evolving needs of industries that are increasingly focusing on diversity and inclusivity. This specialized certification equips learners with the knowledge and skills to develop AI systems that are sensitive to gender biases and promote equality. As companies strive to create more ethical and responsible AI solutions, professionals with expertise in gender-aware AI will be highly sought after.

Who should enrol in Postgraduate Certificate in Gender-Aware AI?

Ideal Audience
Professionals in the tech industry looking to enhance their knowledge in Gender-Aware AI
Individuals interested in the intersection of gender studies and artificial intelligence
UK-based professionals seeking to address gender bias in AI technologies