The 10 best Risk Management courses in 2026

Master quantitative risk analysis and stakeholder management techniques to improve project decision-making, collaboration, and performance. This course provides a comprehensive understanding of how to measure uncertainty, forecast project outcomes, and effectively engage stakeholders throughout the project lifecycle. The course begins with the foundations of Quantitative Risk Management (QRM), introducing learners to structured methodologies for measuring, analyzing, and documenting risks. Learners will explore probability-based approaches, risk assessment frameworks, and data-driven techniqu

Explore the core principles and practical guidance of ISO/IEC 24028:2020, the international standard for trustworthiness in Artificial Intelligence. This training course is designed for professionals who want to understand and apply AI best practices, ethical AI, and responsible AI governance across the AI lifecycle. The course provides a comprehensive overview of the key factors that influence trustworthy AI systems, including transparency, reliability, accountability, and risk management. You will gain the knowledge and skills needed to assess, build, and deploy AI solutions that align with

Learn how to design, evaluate, and implement AI-driven policies in real-world governance and strategic environments. This AI Policy Maker course focuses on how AI is shaping public policy, regulation, and decision-making across government and industry. The course emphasizes practical application, helping you understand how to use AI insights to support policy development, risk management, and long-term strategy. You’ll explore how AI is applied in areas such as regulatory frameworks, sustainability, cybersecurity, and economic planning. Through real-world scenarios, you’ll also learn how to

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Discover the foundational principles of Information Security and Incident Handling in this comprehensive course. You'll gain essential knowledge about key concepts, risk management, vulnerability assessments, and incident response frameworks. With guidance from experts Daniel and Adam, you’ll learn how to assess risks, manage vulnerabilities,

Master insurance operations, underwriting, claims, and IRDAI compliance in one complete course. Build job-ready skills with real-world insurance workflows and practical concepts. This course provides a comprehensive understanding of the general insurance lifecycle, from product filing and regulatory compliance to underwriting, risk management, and claims processing. Learners will explore how insurers design products, assess risks, and ensure compliance with IRDAI regulations. You will gain hands-on knowledge of policy documentation, endorsements, claims procedures, and reinsurance strategies

Learn to evaluate the critical financial strategies that fuel corporate growth and enhance wealth by balancing risk with reward. This course explores how leaders weigh immediate cash needs against the complexities of being a publicly traded company, where decisions must account for shareholders and board members. By the end of this course, you will be able to analyze how corporations strike this crucial balance to make strategic funding decisions that drive long-term success.

Introduction to Financial Engineering and Risk Management course belongs to the Financial Engineering and Risk Management Specialization and it provides a fundamental introduction to fixed income securities, derivatives and the respective pricing models. The first module gives an overview of the prerequisite concepts and rules in probability and optimization. This will prepare learners with the mathematical fundamentals for the course. The second module includes concepts around fixed income securities and their derivative instruments. We will introduce present value (PV) computation on fixed i

In this 1-hour long project-based course, you will learn how to use beta to compare stock’s exposure to the systematic risk and use alpha to quantify the investment’s return over the market return. ATTENTION: To take this course, it is required that you are familiar basic financial risk management concepts. You can gain them by taking the guided project Compare Stock Returns with Google Sheets. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions. This course's content is not intended

Master financial derivatives - forwards, futures, options, swaps, and credit derivatives with the pricing models and market intuition needed for CFA Level 1 and real-world trading. This intermediate course covers the complete derivatives curriculum: derivative instruments and market structure, forward and futures pricing, swap valuation, options models including binomial valuation, put-call parity, and advanced option strategies. Every lesson combines theory with numerical practice questions mirroring CFA Level 1 difficulty. Top skills you'll gain: • Pricing forwards, futures, and swaps usin

Leading Cross-Functional AI Delivery is an intermediate course aimed at mid-management roles. It focuses on managing AI initiatives through structured execution and disciplined coordination. AI projects require close collaboration between data scientists, engineers, architects, legal teams, and business stakeholders. This course equips you to guide that collaboration using practical project management frameworks adapted for AI development. You’ll explore agile methodologies for AI initiatives, resource planning techniques, and structured risk management practices. The course also introduces A