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January 28, 2025
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Recommended experience
Beginner level
Basic knowledge of financial forecasting and planning.
Recommended experience
Beginner level
Basic knowledge of financial forecasting and planning.
Implement GEN AI models for financial forecasting to improve accuracy and decision-making.
Utilize AI tools for strategic financial planning and scenario analysis.
Navigate challenges in deploying GEN AI, including data quality, model biases, and integration issues.
Apply best practices for using open-source AI models to build customized financial tools.
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January 2025
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This course introduces financial professionals to the transformative power of Generative AI (GEN AI) in forecasting and planning. You will learn how to leverage AI-driven tools to streamline processes, improve accuracy, and optimize strategic decision-making. By the end of the course, you’ll be able to automate financial predictions and validate assumptions, enabling faster and more precise financial forecasting. This course is not just about AI theory—it’s about practical tools that will immediately impact your ability to forecast and plan with greater precision and speed.
This course is designed for financial analysts, planners, and data scientists with basic knowledge of finance and AI, who are looking to enhance their forecasting capabilities with GEN AI tools. Learners should have a foundational understanding of financial forecasting and basic familiarity with AI concepts and data analysis techniques. By the end of this course, learners will be able to use AI-driven insights to validate assumptions, analyze market trends, and develop strategic solutions leading to more informed and data-driven decision-making.
This course introduces you to the power of Generative AI (GEN AI) in financial forecasting and planning. You’ll learn how to use cutting-edge AI tools to automate financial predictions, enabling faster, more accurate forecasts. It is tailored specifically for finance professionals who are ready to integrate AI into their workflows, with a focus on real-world applications, practical demonstrations, and actionable insights.
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