Engenharia de Prompt

Fundamentos de Engenharia de Prompt

2-4 hours 4 Modules

Overview

Main Theme: Prompt Engineering

Duration: 2 - 4 Hours

Level: Beginner

Target Audience: Professionals from all areas, managers, and technology enthusiasts.

ABOUT THE TRAINING

This training is the solid foundation for anyone looking to master any Generative Artificial Intelligence. The focus is on eliminating the frustration of receiving generic or incorrect answers by transforming natural communication into technical instructions that models like GPT, Claude, and Gemini understand perfectly. It is the starting point for those seeking efficiency and precision in daily AI use.

Objective

Empower the student to structure the "Perfect Prompt," reducing the time spent rewriting questions by up to 80% and allowing for real value extraction from any AI tool, regardless of the model.

TRAINING MODULES

Anatomy of the Prompt and Personas

Learning about the System Message, Temperature, Top - P, and techniques to set the system persona. How to assign specific roles (e.g., "Act as a Senior Copywriter") to calibrate the tone, expertise, and depth of the response.

Conditioning Strategies (Zero-shot vs. Few-shot)

Exploration of techniques to guide the model: when to ask directly for what you need and when to provide practical examples to teach the AI the expected output pattern.

Syntax and Structuring with Markdown

The power of delimiters and visual organization. Correct use of hashtags (#), asterisks (*), and structures that help AI process complex instructions without losing context.

Practical Application, Security, and LGPD

Creating real checklists (e.g., Agents for HR), implementing memory in conversations, managing sensitive data, anonymization filters, and hallucination testing to ensure safe and ethical responses.

Supporting Materials

See how to structure an effective prompt using Markdown and Zero-shot technique

Prompt Sent:

"You are a project management expert. Let's develop a new project for creating AI agents using LangChain. Create a checklist for building an agent, which will be used in the HR department."