Essential AI Concepts for Finance Professionals

Essential AI Concepts for Finance Professionals
Essential AI Concepts for Finance Professionals

Essential AI Concepts for Finance Professionals: Foundations, Applications, and Emerging Trends is a focused, single-session micro course that demystifies AI for busy finance teams. In one sitting, you’ll build a clear mental model of how modern AI works, where it adds value across finance, and how to evaluate opportunities and risks without needing to code. Through plain-English explanations, bite-size caselets (forecasting, anomaly detection, fraud, sentiment/compliance), and quick interactive prompts, you’ll leave with a practical checklist for spotting high-ROI use cases and speaking confidently with data and tech partners.

You’ll learn to:

  • Grasp the essentials of machine learning, deep learning, and NLP—what they are and when to use them.
  • Distinguish supervised vs. unsupervised learning in real financial tasks (e.g., risk scoring vs. clustering customers).
  • Apply AI to both structured data (ledgers, transactions) and unstructured data (contracts, emails, filings).
  • Use NLP for compliance monitoring, policy mapping, and automated reporting summaries.
  • Understand foundation models and domain-specific LLMs, including strengths, limits, and governance considerations.
  • Evaluate model performance, bias, explainability, and controls required in regulated environments.

Course Content

2. Key AI Concepts for Finance Professionals
3. Foundations of Machine Learning, Deep Learning, and NLP
5. Supervised Vs. Unsupervised Learning in Financial Contexts
6. Natural Language Processing in Compliance and Reporting
7. Role of Foundation Models and Domain-Specific LLMs in Finance
8. Conclusion: Essential AI Concepts for Finance Professionals
Includes
8 Lessons
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