From Prompts to Agents: Intelligent Systems with Python

Prompts are only the beginning. The real power of modern artificial intelligence lies in transforming those instructions into structured systems capable of reasoning, applying rules, and generating consistent decisions. In this hands-on workshop, participants will go beyond basic prompt usage and learn to design and build intelligent agents using Python. Starting from a simple prompt, we will progressively evolve it into a functional agent that processes information, applies context, and generates structured responses. Through a practical approach, we will learn to: Design effective prompts with clear context, objectives, and constraints Structure responses in reliable formats (such as JSON) Build a simple agent in Python that transforms questions into decisions Incorporate context and memory to improve results Evaluate the quality and consistency of responses At the end of the workshop, each participant will have their own agent-style system, capable of converting inputs into useful recommendations, along with a reusable framework to apply to real problems. This workshop is aimed at developers, data professionals, and curious people who want to move from using AI tools to designing intelligent systems. No prior AI experience is required, only basic Python knowledge and a desire to learn. More than a technical session, this workshop proposes a new way of understanding AI: not only as a tool that responds, but as a system we can design.