10 Excel Functions for Data Analysis
April 11, 2024
Article
Instructors: Karlis Zars
Included with
Recommended experience
Intermediate level
Basic knowledge of AI concepts and Experience in data analysis or IT security is helpful but not required.
Recommended experience
Intermediate level
Basic knowledge of AI concepts and Experience in data analysis or IT security is helpful but not required.
Demonstrate an understanding of the fundamentals of generative AI and its applications in fraud detection and compliance.
Implement techniques to develop and utilize generative AI models in fraud detection and compliance workflows.
Evaluate the role of AI governance in ensuring ethical compliance.
Design strategies to incorporate generative AI for evolving fraud detection and compliance challenges.
Add to your LinkedIn profile
December 2024
1 assignment
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
In this course, you will step into the shoes of a compliance officer at a major bank, uncovering how generative AI can transform traditional fraud detection methods. With fraudsters becoming increasingly sophisticated, this course equips you with the essential knowledge and hands-on skills to harness the power of AI in combating financial crime and ensuring regulatory compliance. By blending foundational concepts with practical AI applications, you'll learn how to stay ahead of evolving fraud schemes and protect your organization from significant risks.
This course is designed for finance professionals, compliance officers, IT security specialists, data scientists, AI enthusiasts, and risk management professionals. Whether you are experienced in fraud detection or looking to develop new skills in AI, this course provides the knowledge and practical expertise to excel in your role. No extensive AI background is required, but learners should have a basic understanding of AI concepts like machine learning algorithms and neural networks, as well as familiarity with general fraud detection or compliance practices. Experience in data analysis or IT security is a plus but not necessary. Most importantly, a strong interest in applying AI to solve real-world fraud detection challenges is key to success. By the end of this course, you'll have a comprehensive understanding of generative AI and its applications in fraud detection and compliance. You'll develop practical techniques for creating and using generative AI models, analyze advanced fraud detection methods, and evaluate the role of AI governance in ensuring ethical and regulatory compliance. You'll also gain insights into future trends in AI-powered fraud detection, positioning yourself as a leader in the evolving landscape of compliance.
In this course, you will explore the cutting-edge applications of generative AI in fraud detection and compliance. From identifying complex fraud patterns to enhancing regulatory compliance frameworks, you'll learn how generative AI is revolutionizing risk management. By the end of the course, you will be equipped with the skills needed to implement AI-driven strategies and stay ahead of fraud schemes, ensuring your organization remains secure and compliant.
12 videos4 readings1 assignment1 peer review3 discussion prompts
The Coursera Instructor Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their courses.
Course
Johns Hopkins University
Course
Coursera Instructor Network
Course
Coursera Project Network
Course
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work.
These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
These cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.