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Learn to transition from fullstack engineering to AI engineering through a comprehensive conference talk that presents a structured syllabus for acquiring professional AI engineering skills. Discover practical, step-by-step guidance for mastering generative AI fundamentals, prompt engineering, retrieval augmented generation, agents and functions, and fine-tuning AI models. Explore essential open source AI model repositories, communities, and development tooling required for production AI systems. Gain insights into critical libraries, platforms, and monitoring tools that form the foundation of modern AI engineering practice. Follow along as Reid Mayo, a seasoned fullstack engineer with 15 years of experience building high-traffic systems, shares actionable references and tutorials designed to help you navigate the often unstructured landscape of AI education. Access a clear roadmap that cuts through industry fluff and clickbait to deliver the comprehensive knowledge base needed for professional AI engineering roles.
