Microcredentials have emerged as flexible, competency-based approaches to education that complement traditional degree programs. This chapter explores microcredential implementation in AI and data literacy education, focusing on foundational science, technology, engineering, and mathematics competencies that now permeate virtually all sectors. The German context provides a distinctive case, where adoption of these innovative learning formats remains limited despite growing demand for cross-disciplinary digital skills. Drawing on the European framework for microcredentials and current research, the chapter presents a classification matrix for evaluating microcredential offerings. Three examples from German higher education institutions illustrate diverse implementation approaches, ranging from open platform-based programs to institutionally embedded certificates and comprehensively integrated micro-degrees. A comparative analysis reveals varying degrees of institutional integration, target audiences, learning designs, and recognition practices. The findings highlight both the potential of microcredentials to enhance flexible learning pathways and the challenges in standardization, quality assurance, and recognition. The chapter concludes with recommendations for future development and research to strengthen microcredentials’ position in Germany’s educational landscape and beyond.