Professional Certificate in AI Regulated Compliance Adaptations
-- viewing nowAI Regulated Compliance Adaptations is a Professional Certificate program designed for compliance professionals and regulatory experts seeking to stay ahead in the AI-driven landscape. This program focuses on AI compliance and regulatory adaptations to ensure organizations meet evolving standards.
5,593+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Learn how to navigate complex AI regulations and develop strategies to maintain compliance in a rapidly changing environment.
Gain expertise in AI ethics, data governance, and risk management to drive business success while minimizing regulatory risks.
Explore the program now and take the first step towards staying compliant in the AI era.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
•
Data Governance and AI: This unit focuses on the importance of data governance in AI systems, including data quality, data security, and data privacy. It covers the role of data governance in ensuring compliance with regulations such as GDPR and CCPA. •
AI Ethics and Bias: This unit explores the ethical implications of AI systems, including bias, fairness, and transparency. It covers the principles of AI ethics and the importance of addressing bias in AI decision-making. •
Regulatory Frameworks for AI: This unit delves into the regulatory frameworks governing AI systems, including laws and regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). •
AI and Human Rights: This unit examines the relationship between AI and human rights, including the right to privacy, the right to freedom of expression, and the right to non-discrimination. •
Compliance and Risk Management in AI: This unit covers the importance of compliance and risk management in AI systems, including the identification of risks, the assessment of risks, and the mitigation of risks. •
AI and Intellectual Property: This unit explores the intersection of AI and intellectual property law, including patent law, copyright law, and trademark law. •
AI and Cybersecurity: This unit examines the relationship between AI and cybersecurity, including the use of AI in cybersecurity threats and the use of AI in cybersecurity defenses. •
AI and Data Protection by Design: This unit covers the principles of data protection by design, including the design of AI systems that protect personal data and ensure transparency and accountability. •
AI and Transparency: This unit explores the importance of transparency in AI systems, including the need for explainability, interpretability, and accountability in AI decision-making. •
AI and Accountability: This unit examines the importance of accountability in AI systems, including the need for accountability mechanisms, the role of regulators, and the importance of transparency and explainability.
Data Governance and AI: This unit focuses on the importance of data governance in AI systems, including data quality, data security, and data privacy. It covers the role of data governance in ensuring compliance with regulations such as GDPR and CCPA. •
AI Ethics and Bias: This unit explores the ethical implications of AI systems, including bias, fairness, and transparency. It covers the principles of AI ethics and the importance of addressing bias in AI decision-making. •
Regulatory Frameworks for AI: This unit delves into the regulatory frameworks governing AI systems, including laws and regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). •
AI and Human Rights: This unit examines the relationship between AI and human rights, including the right to privacy, the right to freedom of expression, and the right to non-discrimination. •
Compliance and Risk Management in AI: This unit covers the importance of compliance and risk management in AI systems, including the identification of risks, the assessment of risks, and the mitigation of risks. •
AI and Intellectual Property: This unit explores the intersection of AI and intellectual property law, including patent law, copyright law, and trademark law. •
AI and Cybersecurity: This unit examines the relationship between AI and cybersecurity, including the use of AI in cybersecurity threats and the use of AI in cybersecurity defenses. •
AI and Data Protection by Design: This unit covers the principles of data protection by design, including the design of AI systems that protect personal data and ensure transparency and accountability. •
AI and Transparency: This unit explores the importance of transparency in AI systems, including the need for explainability, interpretability, and accountability in AI decision-making. •
AI and Accountability: This unit examines the importance of accountability in AI systems, including the need for accountability mechanisms, the role of regulators, and the importance of transparency and explainability.
Career path
AI/ML Engineer
Conduct research and development of artificial intelligence and machine learning models to ensure regulatory compliance. Design and implement AI/ML systems to analyze and process large datasets.
Data Scientist
Analyze complex data sets to identify trends and patterns, and develop predictive models to inform business decisions. Collaborate with cross-functional teams to implement AI/ML solutions.
Business Analyst
Work with stakeholders to identify business needs and develop solutions that incorporate AI/ML technologies. Analyze data to inform business decisions and optimize processes.
Quantitative Analyst
Develop and implement mathematical models to analyze and manage risk. Use AI/ML techniques to analyze large datasets and identify trends.
Compliance Officer
Ensure that AI/ML systems and models comply with relevant regulations and laws. Develop and implement compliance frameworks to mitigate risk.
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
PROFESSIONAL CERTIFICATE IN AI REGULATED COMPLIANCE ADAPTATIONS
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
