Generative AI for Business Intelligence

The role of the business intelligence analyst is evolving rapidly as artificial intelligence transforms how we interact with data. This course teaches you how to integrate generative AI tools into your daily BI workflows to work smarter, write code faster, and uncover deeper insights. You will transition from traditional manual data preparation and reporting to an AI-augmented workflow. By understanding how to collaborate with large language models, you will accelerate your SQL query drafting, automate repetitive data cleaning steps, and generate sophisticated analytical summaries from complex datasets. What you'll learn: - Understand the foundational concepts of generative AI and how large language models process structured data. - Apply prompt engineering techniques to generate, debug, and optimize complex SQL queries. - Create synthetic datasets to test BI dashboards and validate data pipelines safely. - Analyze unstructured business data using AI-driven sentiment analysis and text summarization. - Explore modern retrieval-augmented generation (RAG) concepts to build conversational interfaces over enterprise databases. - Design clear, automated data explanations and executive summaries using natural language generation. The course starts with the essential terminology of generative AI, explaining how language models handle data tasks. You will then progress through written explanations and practical text-based exercises that demonstrate how to safely and effectively prompt AI models for data analysis, SQL generation, and reporting. This course is designed for aspiring and practicing business intelligence analysts, data analysts, and reporting specialists. No prior experience with artificial intelligence is required, though a basic familiarity with SQL and data concepts will help you get the most out of the material. Start reading today to transform your analytical workflow and stay ahead in the rapidly changing landscape of business intelligence.