Generative AI for Business Intelligence Professionals

Data professionals are increasingly expected to leverage artificial intelligence to accelerate insights and streamline reporting. Understanding how to integrate these tools into the traditional business intelligence lifecycle is now a core requirement for staying relevant in the field. This course bridges the gap between traditional data analysis and the new era of AI-augmented workflows. You will transition from manual data preparation and query writing to an efficient system where AI assists in complex technical tasks, allowing you to focus on high-level strategy and decision-making. What you'll learn: - Understand the fundamental concepts of generative AI and its specific applications within the business intelligence lifecycle. - Practice writing effective prompts to generate complex SQL queries and automate repetitive data cleaning tasks. - Learn to query unstructured data and spreadsheets using natural language interfaces for faster information retrieval. - Apply AI techniques for advanced data analysis, including automated segmentation and pattern recognition. - Explore modern retrieval-augmented generation (RAG) patterns to connect AI models with private business data securely. - Evaluate data privacy and ethical considerations when using AI tools for corporate reporting and analysis. The curriculum begins with foundational AI terminology and core definitions before moving into practical applications for data querying, analysis, and automated reporting. You will work through written explanations and exercises designed to simulate real-world business intelligence scenarios. This course is designed for aspiring and current business intelligence professionals who are new to artificial intelligence and want to modernize their skill set. No prior AI experience is required. Start building your AI-enhanced business intelligence toolkit today.