Best For
Financial Planning and Analysis (FP&A) professionals looking to automate manual reporting tasks. Corporate accountants seeking to streamline general ledger classification and anomaly detection. Business managers and finance leads who want to integrate AI-driven forecasting into their decision-making process. Finance professionals interested in practical applications of LLMs for data narrative generation and KPI reporting.
Not For
Data scientists or software engineers looking for low-level API programming or technical model training. Individuals without any baseline familiarity with financial statements, KPIs, or basic accounting principles. Those looking for a general guide on how to use ChatGPT, as this course is specifically focused on Claude and financial workflows.
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About the Creator
is a finance professional and systems innovator dedicated to helping modern analysts, accountants, and finance managers integrate generative AI into their daily operations. With a background centered on corporate finance and data analytics, Eduardo quickly recognized that generic AI training fails to address the rigorous compliance, precision, and data privacy needs of the financial sector. This realization inspired him to develop specialized training frameworks focusing on Anthropic's Claude AI, a tool uniquely suited for complex analytical reasoning and large document parsing. Eduardo’s teaching philosophy is built around high-fidelity, hands-on application. He steers clear of superficial prompt engineering templates, opting instead to teach students how to construct robust, multi-step analytical workflows, automate financial statement analysis, and perform cohort-based scenario modeling. By focusing on real-world financial spreadsheets, earnings call transcripts, and regulatory filings, Eduardo ensures that his learners transition from theoretical understanding to immediate execution. Through his courses, finance professionals learn to safely leverage Claude AI to dramatically reduce manual processing time while maintaining absolute mathematical accuracy and analytical integrity.
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