By the end of this course, learners will be able to examine funding stress and system-wide vulnerabilities, evaluate the application of artificial intelligence and machine learning in risk analysis, assess climate-related and reference-rate exposures, and apply enterprise-wide governance frameworks to real financial institutions. Participants will also interpret organizational culture, conduct standards, and structural design to support resilient decision-making.

Analyze Financial Risk Using AI, Markets, and Governance
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Recommended experience
What you'll learn
Evaluate funding stress, systemic vulnerabilities, and enterprise-wide risk interactions.
Assess AI/ML applications, climate risk, and reference-rate exposures in modern risk analysis.
Apply governance, culture, and structural frameworks to support resilient financial decision-making.
Skills you'll gain
Details to know

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January 2026
26 assignments
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There are 7 modules in this course
This module introduces liquidity risk in modern financial markets and explores how artificial intelligence and machine learning are applied to enhance risk assessment, decision-making, and portfolio management under evolving market conditions.
What's included
6 videos3 assignments
This module examines AI-specific risk systems, governance structures, and ethical considerations, focusing on risk classification, fairness, cyber risk, and systemic vulnerabilities arising from advanced technologies.
What's included
8 videos4 assignments
This module explores systemic financial crises, focusing on market interconnectedness, liquidity stress, non-bank financial institutions, and the role of policy interventions in stabilizing markets.
What's included
7 videos3 assignments
This module provides an in-depth understanding of benchmark reform, the decline of LIBOR, adoption of alternative reference rates, and the operational, legal, and risk management challenges of benchmark transition.
What's included
8 videos4 assignments
This module addresses climate-related financial risks and digital financial innovations, examining climate risk drivers, transmission channels, digital money, and central bank digital currencies.
What's included
11 videos4 assignments
This module focuses on enterprise-wide risk management, covering ERM principles, leadership roles, risk appetite frameworks, and the integration of risk into strategic decision-making.
What's included
12 videos4 assignments
This module examines risk culture, conduct risk, organizational structure, and risk measurement tools that support ethical behavior, accountability, and long-term institutional resilience.
What's included
13 videos4 assignments
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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 enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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