Best For
Product managers and non-technical founders looking to prototype and build functional apps without needing years of coding experience. Developers who want to boost their productivity by integrating AI-assisted workflows into their existing programming habits. Tech-curious professionals aiming to automate business workflows and repetitive tasks using AI orchestration. Beginners eager to transition into software development by leveraging AI tools as collaborative programming partners.
Not For
Software engineers seeking deep-dive tutorials on low-level language internals, compilers, or memory management. Individuals looking for traditional, code-heavy computer science theory rather than an AI-assisted development methodology. People who prefer manual, line-by-line debugging and are uninterested in utilizing AI assistants for coding tasks.
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About the Creator
Enrique Galicia and Florencia Perez Vela Quiroz are pioneering educators dedicated to demystifying the world of artificial intelligence and software development for learners of all backgrounds. With a shared passion for making technology accessible, they specialize in breaking down complex computational concepts into intuitive, practical lessons. Their instructional design focuses heavily on the emerging landscape of AI-assisted development, often referred to as 'vibe coding' or pattern-based AI creation. Together, they guide students through the transition from classical coding structures to modern, AI-integrated workflows. Enrique and Florencia believe that anyone can build software if they learn to think algorithmically and leverage AI tools correctly. Their courses, such as 'AI Vibe Coding: Build Apps with AI Patterns' and 'Coding for AI: A Foundation for Everyone,' are designed to empower absolute beginners and experienced developers alike. By focusing on practical application, repeatable architectural patterns, and hands-on building, they ensure that every student walks away not just with theoretical knowledge, but with functional, real-world applications they built themselves. Their collaborative teaching style is encouraging, highly structured, and deeply rooted in modern software engineering realities.
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