The utilization of data offers numerous potentials for improving the business performance of manufacturing companies. A frequent obstacle to the implementation of corresponding value-added services is the cross-company exchange of data. Gaia-X-compliant data ecosystems address this problem by enabling the sovereign exchange of data and services between the individual players in the data ecosystem. The participation and use of corresponding ecosystems requires companies in the manufacturing industry to have a changed awareness and new skills regarding the possibilities of data-based value creation in ecosystems. These are not yet covered by existing training concepts. This paper addresses this problem by presenting a collaborative learning factory concept for data and service ecosystems in the manufacturing environment. The concept is a result of the Gaia-X lighthouse project EuProGigant and comprises several demonstrators at learning factory sites of participating industry and university partners. To illustrate the concept, functionalities of the demonstrators and the merging and utilization of data in the web3-based Pontus-X ecosystem are described.