A comprehensive, practical course designed specifically for software engineers who want to master advanced prompt engineering techniques for working with generative AI models in professional development environments.
This intensive course eliminates theoretical fluff and focuses exclusively on immediately applicable skills for software engineers. Through 30 hours of hands-on content across 6 modules, you'll learn to leverage AI effectively in your development workflow.
This course is available in two languages:
- Module Index - Complete course overview with module objectives and links
- Fundamentals - Core principles and structured methodologies
- Advanced Techniques - Few-shot learning, reasoning, and meta-prompting
- Specific Tasks - Code generation, debugging, testing, and documentation
- Context Optimization - Memory management and performance optimization
- Programmatic Prompting - API integration and automation systems
- Multimodal & Advanced - Visual analysis and complex use cases
- Índice de Módulos - Descripción completa del curso con objetivos y enlaces
- Fundamentos - Principios básicos y metodologías estructuradas
- Técnicas Avanzadas - Few-shot learning, razonamiento y meta-prompting
- Tareas Específicas - Generación de código, debugging, testing y documentación
- Optimización de Contexto - Gestión de memoria y optimización de rendimiento
- Prompting Programático - Integración con APIs y sistemas automatizados
- Multimodal y Avanzado - Análisis visual y casos de uso complejos
- Senior Software Engineers and technical leads
- Solutions Architects and system designers
- DevOps and SRE Professionals
- Engineering Managers seeking to leverage AI in their teams
- Developers working with AI/ML systems
- Solid software development experience (3+ years)
- Basic understanding of APIs and system integration
- Familiarity with at least one programming language
- Basic knowledge of software architecture principles
Upon completion, you'll be able to:
✅ Design efficient prompts for complex engineering tasks
✅ Integrate AI prompting into existing development workflows
✅ Optimize prompt performance and cost efficiency
✅ Handle multimodal inputs for comprehensive system analysis
✅ Build scalable prompt-based automation systems
✅ Evaluate and improve prompt quality systematically
Every lesson includes:
- Real-world exercises with actual development scenarios
- Multiple AI platform integration (OpenAI, Claude, Gemini)
- Production-ready code examples in Python and other languages
- Performance metrics and optimization techniques
- Security and best practices considerations
- Duration: 30 hours of practical content
- Format: 6 modules, ~5 hours each
- Approach: 100% hands-on, no theoretical fluff
- Languages: English and Spanish
- Updates: Regular updates with latest AI developments
This is an open educational resource. Contributions, improvements, and translations are welcome. Please see our contribution guidelines for more information.
This educational content is available under MIT License - feel free to use, modify, and distribute for educational purposes.
Ready to master prompt engineering for software development? Choose your language and start with Module 1!