Generative AI for Data and Analytics

Modern data professionals must go beyond traditional SQL and dashboards to remain competitive in today's landscape. Incorporating generative AI into your data workflows allows you to automate complex analysis, build intelligent agents, and extract deeper insights from unstructured data. This text-based course guides you from foundational AI concepts to deploying scalable analytics systems. You will start by mastering core terminology, understanding how large language models process information, and learning how to set up your analytical environment. Through written explanations and code examples, you will learn to construct robust data pipelines, orchestrate autonomous AI agents, and implement modern retrieval-augmented generation patterns for enterprise data. What you will learn: Understand the foundational mechanics of large language models and generative AI; Build automated data pipelines that leverage generative AI for data cleaning and enrichment; Design and deploy intelligent AI agents capable of executing complex analytical tasks; Implement retrieval-augmented generation patterns to query proprietary databases securely; Apply prompt engineering techniques tailored specifically for data extraction and structured outputs; Manage model deployment workflows and monitor performance in production environments. This course begins with essential concepts and step-by-step definitions before advancing to real-world deployment strategies. It is designed specifically for data analysts, engineers, and curious professionals looking to integrate modern AI tools into their workflows. No prior machine learning experience is required. Start reading today to modernize your data analytics skill set.