Visão Geral

Este curso capacita profissionais de negócios a utilizar técnicas de Engenharia de Prompts para maximizar os resultados obtidos com ferramentas de Inteligência Artificial Generativa. O participante aprenderá a criar instruções eficazes para automatizar tarefas, gerar conteúdo de alta qualidade, apoiar a tomada de decisões, realizar análises de negócios e aumentar a produtividade organizacional. O curso aborda métodos práticos para utilização da IA em áreas como gestão, marketing, vendas, recursos humanos, finanças e operações.

Objetivo

Após realizar este curso, você será capaz de:

• Compreender os fundamentos da Engenharia de Prompts aplicada aos negócios
• Criar prompts eficazes para aumentar produtividade e qualidade das entregas
• Utilizar IA Generativa para análise, planejamento, comunicação e tomada de decisões
• Desenvolver prompts específicos para diferentes áreas corporativas
• Avaliar e melhorar continuamente os resultados gerados por IA
• Aplicar práticas seguras e responsáveis no uso corporativo da Inteligência Artificial

Publico Alvo

• Executivos e gestores
• Analistas de negócios
• Profissionais de marketing e vendas
• Profissionais de recursos humanos
• Consultores e empreendedores
• Usuários corporativos de ferramentas de IA Generativa

Pre-Requisitos

• Conhecimentos básicos de informática
• Familiaridade com atividades corporativas e processos de negócios
• Interesse em Inteligência Artificial Generativa
• Não é necessário conhecimento de programação

Conteúdo Programatico

Module 1: Introduction to Prompt Engineering for Business

1. Fundamentals of Generative AI
2. Understanding Large Language Models
3. Business value of prompt engineering
4. AI capabilities and limitations
5. Corporate use cases overview
6. Productivity opportunities with AI

Module 2: Foundations of Effective Prompting

1. Anatomy of a business prompt
2. Defining objectives and outcomes
3. Context and instruction design
4. Structuring requests effectively
5. Output formatting techniques
6. Common prompting mistakes

Module 3: Core Prompting Techniques

1. Zero-shot prompting
2. Few-shot prompting
3. Role-based prompting
4. Scenario-based prompting
5. Guided response generation
6. Prompt refinement methods

Module 4: Productivity and Personal Effectiveness

1. Task automation with AI
2. Email and communication assistance
3. Meeting summaries and action plans
4. Research and information analysis
5. Time management support
6. Personal productivity workflows

Module 5: Prompt Engineering for Management

1. Strategic planning support
2. Business analysis prompts
3. Decision-making assistance
4. Executive reporting generation
5. KPI and performance analysis
6. Risk assessment support

Module 6: Prompt Engineering for Marketing and Sales

1. Content creation strategies
2. Campaign planning assistance
3. Customer persona development
4. Sales proposal generation
5. Customer communication optimization
6. Market analysis support

Module 7: Prompt Engineering for Human Resources

1. Job description creation
2. Recruitment support workflows
3. Employee communication generation
4. Training material development
5. Performance review assistance
6. Workforce planning support

Module 8: Prompt Engineering for Finance and Operations

1. Financial report assistance
2. Business forecasting support
3. Operational process analysis
4. Procedure documentation
5. Process improvement recommendations
6. Operational performance reviews

Module 9: Prompt Engineering for Innovation and Problem Solving

1. Brainstorming techniques
2. Idea generation workflows
3. Root cause analysis support
4. Business model exploration
5. Scenario planning exercises
6. Innovation acceleration strategies

Module 10: Evaluating and Improving AI Outputs

1. Response quality assessment
2. Fact-checking techniques
3. Prompt optimization methods
4. Iterative improvement workflows
5. Measuring business value
6. Building prompt libraries

Module 11: Responsible AI and Governance

1. Data privacy considerations
2. Confidentiality and information security
3. Ethical AI practices
4. Bias and fairness awareness
5. Corporate AI governance principles
6. Risk mitigation strategies

Module 12: Business Prompt Engineering Workshop

1. Business case simulations
2. Prompt design exercises
3. Productivity improvement projects
4. Department-specific use cases
5. Prompt library development
6. Final business prompt engineering project