Financial professionals today need more than traditional spreadsheets; they must use the power of generative AI to accelerate analysis, improve accuracy, and deliver strategic insights. GenAI Enhanced Financial Analysis is a 45‑hour specialization built for analysts with about 1–3 years of experience who want to integrate AI tools (Excel Copilot, Azure AutoML) with industry‑standard platforms (Power BI, Power Query). Across this program, learners will: Automate routine calculations and data‑validation tasks in Excel using Copilot, freeing time for higher‑value analysis. Create interactive financial dashboards in Power BI that surface budget variances, key ratios, and scenario outcomes in real time. Prepare clean, governed data sets through Power Query and AI‑driven validation, ensuring trustworthy inputs for downstream models. Build predictive forecasts with time‑series models and Azure AutoML, learning to communicate confidence intervals and uncertainty to stakeholders. Craft executive‑level stories that translate complex financial metrics into clear, actionable recommendations using AI‑assisted PowerPoint and Copilot‑generated narratives. This specialization blends both theory and application, including project modules. By the end, graduates will be able to design end‑to‑end analytical pipelines that combine data preparation, AI‑augmented modeling, and compelling visual storytelling, positioning them as modern finance leaders who drive data‑informed decision‑making.
What you'll learn
automate routine calculations in Excel using Copilot
create interactive dashboards in Power BI
prepare clean data sets with Power Query
build predictive forecasts using Azure AutoML
craft executive summaries that translate complex metrics