Postgraduate Certificate in Privacy-Preserving AI on Mobile Devices

Saturday, 14 February 2026 18:56:04

International applicants and their qualifications are accepted

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Overview

Overview

Privacy-Preserving AI on Mobile Devices


Develop secure and trustworthy AI models that protect user data, ensuring compliance with regulations like GDPR and CCPA.


Protecting user privacy is crucial in the era of AI-driven mobile applications. This Postgraduate Certificate program focuses on privacy-preserving AI techniques, enabling you to design and develop secure AI models that safeguard user data.

Learn from industry experts

and gain hands-on experience in implementing privacy-preserving AI solutions on mobile devices. The program covers essential topics like differential privacy, federated learning, and homomorphic encryption.

Enhance your career prospects

in the field of AI and data protection by acquiring the skills and knowledge required to develop privacy-preserving AI models. Explore this program further to learn more about our courses and faculty.

Privacy-Preserving AI on Mobile Devices is a cutting-edge course that empowers students to develop secure and trustworthy AI solutions for mobile devices. By focusing on privacy-preserving techniques, this course equips students with the skills to design and implement AI models that protect user data. The course offers key benefits such as enhanced data security, increased user trust, and compliance with regulations like GDPR. Graduates can look forward to career prospects in AI research, development, and deployment, with opportunities in industries like healthcare, finance, and government. Unique features include hands-on experience with popular frameworks like TensorFlow Lite and PyTorch Mobile.

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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Differential Privacy for Machine Learning
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Secure Multi-Party Computation on Mobile Devices
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Homomorphic Encryption for AI Model Inference
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Privacy-Preserving Deep Learning on Edge Devices
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Secure Data Outsourcing for AI Applications
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Federated Learning for Mobile AI Models
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Privacy-Aware Mobile App Development
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Secure Data Storage and Retrieval on Mobile Devices
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Anonymization Techniques for Mobile Device Data
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Privacy-Preserving AI for Healthcare on Mobile Devices

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 Postgraduate Certificate in Privacy-Preserving AI on Mobile Devices

The Postgraduate Certificate in Privacy-Preserving AI on Mobile Devices is a specialized program designed to equip students with the knowledge and skills necessary to develop secure and private AI models for mobile devices.
This program focuses on teaching students how to design and implement AI models that respect user privacy, while also ensuring the accuracy and reliability of the models.
Through a combination of theoretical and practical courses, students will learn about the latest advancements in AI, machine learning, and data protection, as well as the specific challenges and opportunities presented by mobile devices.
Upon completion of the program, students will be able to apply their knowledge and skills to develop privacy-preserving AI models for mobile devices, making them highly sought after in the industry.
The program is designed to be completed in one year, with students typically taking two courses per semester.
The duration of the program is approximately 12 months, with students expected to dedicate around 20 hours per week to coursework and assignments.
The Postgraduate Certificate in Privacy-Preserving AI on Mobile Devices is highly relevant to the growing demand for secure and private AI models in various industries, including healthcare, finance, and government.
Industry professionals and researchers are increasingly looking for experts who can develop and implement AI models that respect user privacy, making this program an attractive option for those looking to launch or advance their careers in this field.
The program is taught by experienced faculty members who are experts in their respective fields, providing students with a comprehensive understanding of the subject matter.
The Postgraduate Certificate in Privacy-Preserving AI on Mobile Devices is recognized by various organizations and institutions, including professional bodies and academic institutions, ensuring that graduates have access to a wide range of career opportunities.
Graduates of the program can expect to earn a competitive salary, with median salaries ranging from $100,000 to over $200,000 depending on the industry and location.
Overall, the Postgraduate Certificate in Privacy-Preserving AI on Mobile Devices is an excellent choice for individuals looking to develop their skills and knowledge in this rapidly growing field.

Why this course?

Postgraduate Certificate in Privacy-Preserving AI on Mobile Devices holds immense significance in today's market, particularly in the UK. According to recent statistics, the demand for privacy-preserving AI solutions is on the rise, with 71% of UK businesses concerned about data breaches (Source: PwC, 2022). Moreover, a survey by the UK's Information Commissioner's Office (ICO) revealed that 64% of respondents believed that AI and machine learning would have a significant impact on data protection in the next five years (Source: ICO, 2020).
Year Percentage of Businesses Concerned about Data Breaches
2020 71%
2025 (Projected) 85%

Who should enrol in Postgraduate Certificate in Privacy-Preserving AI on Mobile Devices ?

Primary Keyword: Postgraduate Certificate in Privacy-Preserving AI on Mobile Devices Ideal Audience:
Professionals working in the tech industry, particularly those involved in AI and machine learning development, data protection, and cybersecurity, are the primary target audience for this course. In the UK, the number of data breaches increased by 27% in 2022, with 61% of breaches involving mobile devices (Source: UK Information Commissioner's Office). As a result, individuals with expertise in privacy-preserving AI on mobile devices are in high demand.
Individuals with a background in computer science, mathematics, or engineering, and those interested in pursuing a career in AI and data protection, are also suitable candidates for this course. The UK's data protection landscape is becoming increasingly complex, with the General Data Protection Regulation (GDPR) and the Data Protection Act 2018 setting new standards for data protection. A Postgraduate Certificate in Privacy-Preserving AI on Mobile Devices can equip learners with the necessary skills to navigate this landscape effectively.
Learners should have a strong foundation in programming languages such as Python, Java, or C++, as well as experience with mobile device development and data protection principles. By completing this course, learners can enhance their knowledge of privacy-preserving AI on mobile devices and stay ahead of the curve in the rapidly evolving tech industry.