Automating Data Reporting with AI Agents

Routine data aggregation and report generation often consume valuable time that could be spent on analysis and strategic thinking. This course teaches you how to move beyond simple chat interfaces and deploy AI assistants capable of acting independently on your data tasks. You will master the techniques required to configure AI agents that read documents, connect services, and produce final, ready-to-use reports solely based on your text prompts. What you'll learn: * Understand the core principles of AI agent architecture, tool use, and memory management for complex workflows. * Master advanced prompting techniques for defining detailed tasks, constraints, and desired output formats for autonomous execution. * Apply Retrieval-Augmented Generation (RAG) patterns to allow agents to accurately access and synthesize information from external documents and files. * Configure custom agent "skills" or "tools" to enable interaction with external services and structured data sources. * Practice designing end-to-end automation pipelines that turn raw data input into polished reports and summary dashboards. We begin with foundational concepts of prompt design and agent logic, progressively moving to practical exercises in defining tools and connecting data sources to achieve complete task automation. This course is designed for beginners in automation, data analysis, and business operations who want to leverage AI for productivity gains without needing deep programming knowledge. No prior experience with AI models or coding is required. Start automating your most time-consuming data tasks today.