Artificial intelligence is redefining the compliance sector by changing how companies handle legal obligations and reduce risks. Artificial intelligence dramatically improves the efficiency and accuracy of compliance operations, lowering the dependency on human resources and minimising errors by processing massive volumes of data, seeing trends, and forecasting possible problems. The future of compliance will be tightly intertwined with AI, so professionals must stay up to date on the newest AI tools and methodologies.
This blog will walk you through AI courses that are targeted at all levels, from CFTE, Novel Vista and ICA courses which are tailored towards professionals with foundational knowledge in AI in compliance. For a more technical course ICA have you covered. Readers with proficiency in Python will be more inclined to the IIQF course as this requires knowledge and skills in coding. These courses will equip you with the knowledge and skills to leverage AI’s full potential in the compliance sector and give you a foundation into how AI works and how it has impacted the compliance industry already.
1. CFTE's Generative AI for Compliance in Financial Services
This course is designed for professionals in the financial sector to understand and leverage Generative AI to improve compliance practices. By implementing Generative AI responsibly, you can streamline processes, improve accuracy, and ensure regulatory adherence. The programme offers 30+ constantly updated courses, hands-on projects for practical uses, and industry-recognised certification, all delivered through 15-minute lessons per day over six weeks.
Participants will gain regulatory knowledge and expertise in data and analytics. You’ll learn directly from AI experts in compliance and explore real-world AI applications and successful initiatives in various companies.
By the end of the course, you’ll be equipped to grasp the landscape of Generative AI in compliance, use AI tools effectively, understand opportunities and risks, and drive AI strategy in your team. Enrolling on this course will also allow you to join the AI in Finance Academy, which has trained over 20,000 professionals across organisations like MNB, CBE, Paypal, Lloyds Banking Group and more.
Features
Target Audience
Professionals in Financial institutions, Central Banks, Fintech Companies, Startups, Consultancy
Format
Self-paced, fully online
Level
Foundational
Time to Complete
15-min lessons per day, over 6 weeks
Add-Ons
Live Sessions
Instructors
1. Huy Nguyen Trieu, Co-founder and Programme Director, CFTE; Former Managing Director, Citi
2. Ronnie Chung, AI leader with over 20 years experience working across the financial services industry (Ex-FCA, Barclays, and HSBC)
Topics
1. Generative AI Fundamentals
2. The Landscape of Generative AI
3. Current landscape of Generative AI in Compliance
4. Applications and use cases of Generative AI in Compliance
5. From Theory to Practice: Practical Approach
6. Opportunity and risk in Compliance
Use Cases
Customer Personas, Scaling transformers, Analysing & extracting information from PDF Reports with AI
Accreditation
IBF Accredited
Pricing
GBP 270 or GBP 225 For GenAI360 Alumni
2. Novel Vista's Generative AI in Risk & Compliance Training Course
This course not only demystifies the use of AI in compliance but also teaches you to recognise and address emerging hazards through insightful AI-driven analysis. You will explore the power of Generative AI for risk assessment and mitigation, understanding its role in credit scoring, and navigating market risk analysis through AI-driven approaches.
The course also delves into the ethics and regulations surrounding AI technologies. You will learn to navigate the complex terrain of AI bias and fairness, addressing ethical considerations when implementing AI solutions. The course provides a global perspective on regulatory frameworks and compliance standards, ensuring you are well-versed in the diverse regulatory environments you may encounter.
By the end of the program, you will be able to make strategic decisions and harness the power of AI to identify, assess, and mitigate risks more effectively, ensuring compliance with ever-evolving principles. This certification program offers practical applications and hands-on experience, equipping you with job-ready skills to excel in the dynamic field of risk and compliance management.
Features
Target Audience
Risk Managers, Compliance Officers, Data Analysts, Financial Analysts, Regulatory Specialists, Audit Professionals, Business Analysts, Legal Advisors, Compliance Consultants
Format
Self-paced, fully online
Level
Foundational
Time to Complete
8-10 Hours
Add-Ons
Mock Exams
Instructors
Novel Vista Accredited Trainer
Topics
1. Grasping Generative AI Fundamentals
2. Applying Generative AI to Risk Management
3. Generative AI in Compliance Landscapes
4. Ethics and Regulations in AI
5. Unpacking the Pros and Cons
Use Cases
Make data driven decisions, proactively adapt to emerging risks.
Accreditation
AEC Accredited
Pricing
GBP 351
3. ICA's Specialist Certificate in AI for Compliance Professionals
This course is designed to empower participants with the confidence to ask insightful questions and showcase their knowledge to peers and senior leaders about AI. Participant will also understand how humans interact with AI and the skillsets required. Later in the course you should will be taught how AI is applied within RegTech and the importance of AI in the industry as well as grasp the ethical dilemmas and challenges of AI and how to mitigate them.
Features
Target Audience
Professionals working in regulatory or financial crime compliance looking to certify existing specialist areas of knowledge, or for those looking to increase their professional agility by learning about new areas of risk.
Format
Self-paced, fully online
Level
Foundational
Time to Complete
4 weeks
Add-Ons
One hour online multiple-choice exam, Become an ICA Member
Instructors
ICA accredited trainer
Topics
1. An introduction to AI
2. AI in RegTech
3. Ethical dilemmas of AI
4. Ethics and Regulations in AI
5. The AI Ethicist, future developments and required skillsets
Use Cases
RegTech, AI Ethicist, future developments and required skillsets
Accreditation
ICA Accredited
Pricing
GBP 700
4. ICA's Advanced Certificate in Governance, Risk and Compliance
This course will help you gain specialist knowledge and practical skills to manage regulatory risk, both now and in the future. As well as help you understand how excellent regulatory compliance management protects your firm and enhances its competitive advantage. This course will also boost your professional profile by gaining an internationally recognised qualification awarded in association with Alliance Manchester Business School, the University of Manchester
Features
Target Audience
Compliance employees, Professionals who have recently been given or aspire to be given compliance responsibilities, Employees with management responsibility for compliance employees
Format
Self-paced, fully online
Level
Intermediate
Time to Complete
6 month course
Add-Ons
Access to the uniquely personalised ICA Learning Hub, Discounts on ICA events and further ICA courses
Instructors
1. Jonathan Bowdler, Global Lead, Post Grad Diplomas
2. Rhodri Kettle, Global Lead, Governance, Risk & Compliance
3. Allen Vincent, Associate Course Director – Governance, Risk and Compliance
4. Heather Wurster, Global Lead, CDD
5. Rosalind Dixon-Burnett, Head of Compliance at Margetts Fund Management Ltd
Topics
1. Why do we need regulation and how has it changed over time?
2. What do we need to understand about regulation?
3. Understanding governance, risk and compliance (GRC)
4. Practical GRC
5. Managing compliance and regulatory risks
6. Core GRC topics: financial crime, ESG, conduct risk, data
Use Cases
RegTech, AI Ethicist, future developments and required skillsets
Accreditation
ICA Accredited
Pricing
GBP 2050
5. Indian Institute of Quantitative Finance's Certificate Program in AI for Risk Management
The IIQF Super Specialisation AI Program offers an in-depth exploration of AI and ML-driven risk management and modelling across various risk types. The program encompasses a focused learning journey, covering AI and ML-based models and analytics products for risk management sub-domains, with an emphasis on quantitative risk modelling techniques and algorithms within the BFSI and Fintech sectors. Participants will gain insight into the adoption considerations, challenges, and cautions associated with regulatory, policy, legal, compliance, and ethical aspects.
The course includes practical deep-dives into AI and ML-driven risk models, methodologies, and mechanics across supervised, semi-supervised, and unsupervised learning regimes, as well as best quantitative modelling practices and research topics in risk management. Designed to deliver expertise on BFSI risk management use-cases, it covers applications across portfolio, credit, market, and operational risk analytics, alongside financial use cases such as risk prediction, forecasting, anomaly detection, and sentiment analysis. This course is targeted to individuals who have prior AI & ML experience and intermediate-level programming proficiency in Python.
Features
Target Audience
Individuals with prior AI & ML experience and intermediate level programming proficiency in Python.
Format
Self-paced, fully online
Level
Intermediate
Time to Complete
2 Months course
Add-Ons
Live classroom lectures
Instructors
1. Sunjay Bhatia, Former Director at UBS
2. Professor Rituparna Sen, Ph.D. in statistics
3. Dr Arindam Chaudhuri, Post Doctoral Fellow at University of Copenhagen
4. Ritesh Chandra, 15 years Banking experience
Topics
1. AI & ML for Portfolio Risk
2. AI & ML for Credit Risk
3. AI & ML for Market Risk
4. AI & ML for Fraud Risk
Use Cases
Default Risk – Probability of Default Prediction, Recovery Risk – Loss Given Default Prediction, Exposure Risk – Exposure At Default Prediction
Accreditation
IIQF Accredited
Pricing
USD 500
