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Coursera

Generative AI for Financial Operations

via Coursera

Overview

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Transform financial operations by applying Generative AI to automation, decision-making, governance, compliance, risk management, and strategic transformation. This course is designed for learners who want to understand how Generative AI can be responsibly integrated into financial operations to create measurable business value. You’ll build a foundation in Generative AI, FinOps principles, AI infrastructure, and prompt engineering before exploring practical financial applications. You’ll examine enterprise AI integration and deployment, responsible AI, governance frameworks, regulatory considerations, and operational, data, business, and market risks. As you progress, you’ll analyze how Generative AI supports financial and digital transformation, evaluate business opportunities and implementation feasibility, and assess practical use cases and ROI. You’ll also explore industry case studies, Software Development Life Cycle principles, and emerging AI trends. By the end of the course, you’ll be able to evaluate Generative AI opportunities, analyze risks and regulatory requirements, develop implementation approaches aligned with business objectives, and recommend responsible AI adoption strategies for financial services. The course uniquely connects technical foundations with governance, risk, compliance, business value, and strategic implementation.

Syllabus

  • Foundations of Generative AI in FinOps
    • Build foundational knowledge of Generative AI, FinOps principles, AI infrastructure, prompt engineering, and early financial applications to establish a strong basis for AI-enabled financial operations.
  • Applying Generative AI in Financial Operations
    • Explore responsible AI integration, governance, deployment strategies, enterprise platforms, and practical business applications for implementing Generative AI across financial operations.
  • Managing Risks in AI-Driven Finance
    • Analyze AI risks, data governance, regulatory considerations, market impacts, and digital transformation strategies that support secure and responsible AI adoption.
  • Strategy, Opportunities, and Business Value
    • Examine strategic implementation approaches, operational transformation, AI opportunities, business use cases, and ROI measurement to maximize organizational value.
  • Compliance, Industry Examples, and Future Outlook
    • Evaluate regulatory frameworks, real-world implementations, software development practices, and emerging AI trends to support sustainable AI adoption in financial services.

Taught by

TSV Learning

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