Green hydrogen provides a viable alternative to conventional energy, providing a sustainable technique to lower carbon emissions and strengthening electricity protection. This overview explores key production pathways, specializing in electrolysis and biomass-based strategies and hybrid renewable energy and cogeneration systems to improve efficiency and grid stability. In addition, it explores the feature of synthetic intelligence (AI) in H2 production, especially in renewable energy forecasting, system optimization, and fault diagnostics. The optimization guarantees value-effectiveness and system reliability, and enhances hydrogen production efficiency with the aid of identifying premier operational parameters and minimizing system inefficiencies. The newness of this examines lies in integrating hybrid renewable power and hydrogen manufacturing optimization, an attitude not substantially covered in previous research. Furthermore, it provides a comprehensive analysis of optimized applications, consisting of predictive upkeep and fault detection, to enhance hydrogen device reliability. A distinguished contribution of this study is its attention to real-global case research of hydrogen production and application, demonstrating its viability across transportation, strength generation, and industrial sectors. Via addressing key technical and financial challenges, this evaluation outlines a scalable method for lower-priced and sustainable H2 manufacturing, encouraging a greater resilient and sustainable energy future.