Stand-alone life science training events and e-learning solutions are among the most sought-after modes of training because they address both point-of-need learning and the limited timeframes available for "upskilling." Yet, finding relevant life sciences training courses and materials is challenging because such resources are not marked up for internet searches in a consistent way. This absence of markup standards to facilitate discovery, re-use, and aggregation of training resources limits their usefulness and knowledge translation potential. Through a joint effort between the Global Organisation for Bioinformatics Learning, Education and Training (GOBLET), the Bioschemas Training community, and the ELIXIR FAIR Training Focus Group, a set of Bioschemas Training profiles has been developed, published, and implemented for life sciences training courses and materials. Here, we describe our development approach and methods, which were based on the Bioschemas model, and present the results for the 3 Bioschemas Training profiles: TrainingMaterial, Course, and CourseInstance. Several implementation challenges were encountered, which we discuss alongside potential solutions. Over time, continued implementation of these Bioschemas Training profiles by training providers will obviate the barriers to skill development, facilitating both the discovery of relevant training events to meet individuals' learning needs, and the discovery and re-use of training and instructional materials. Author summary: In the absence of understandable and readily implementable standards for life science training resources such as courses, materials, data, etc., such resources are difficult to locate or to harmonize in a central repository. From a FAIR (Findable, Accessible, Interoperable, Reuse) principles lens, this gap hinders findability and by extension accessibility, which, in the field of bioinformatics training, is a critical problem. Our work describes the standards development process and the finalized web metadata standards for life science training resources (Course, CourseInstance, TrainingMaterial). It builds upon existing metadata standard creation processes such as that from Schema.org and narrows down the standards to those relevant for life science audiences (under Bioschemas.org). Importantly, our work considers the hurdles of implementing metadata standards within existing training resource websites and lowers the barrier to implementation by describing a set of minimum standards needed for each training profile. With the recent release of our life science–focused training standards, we have seen rapid uptake among the bioinformatics training community highlighting the need for such standards in both the bioinformatics and broader life science training communities. [ABSTRACT FROM AUTHOR]