In contrast to one-way assembly of products, simple disassembly and more complex remanufacturing present additional challenges and unknowns on several levels, often requiring human capabilities to be combined with machines—thereby becoming a rewarding deployment field for human–robot collaboration, supported by artificial intelligence, advanced planning and extended reality for improved human–machine interrelations. While the industry has realized little benefit of these—still evolving—areas, learning factories can contribute to closing gaps in skills and mindset of future engineers likely to actively shape the aforementioned fields at the time they begin to notably penetrate industrial production. The paper proposes an approach for building up a portfolio of learning factory resources supporting students in acquiring and independently refining knowledge and practice related to collaborative remanufacturing. The paper presents an incremental approach extending manufacturing knowledge to diagnostics and disassembly in collaborative environments, with an outlook on more comprehensive remanufacturing.