Low-carbon IT training means delivering skills development in ways that reduce avoidable emissions while keeping learning accessible, a priority that is shaping organisational choices in 2026.
The environmental question is no longer whether training can be delivered with less travel. It is how training providers and corporate learning teams can measure the difference honestly, keep learning outcomes strong, and avoid replacing one footprint with another hidden in digital infrastructure, devices, venues, or supplier activity.
Readynez’s 2024 Sustainability Report sets out its recent work on this shift, including the adoption of an ISO 14001 Environmental Management System in 2022, a virtual-first delivery model, digital courseware, supplier assessments, and improvements to emissions calculation methods. The report should be read as a transparency document about operational change, not as a claim of carbon neutrality or third-party verification.
Traditional instructor-led training can create emissions well beyond the classroom itself. Delegate travel, instructor flights, hotel stays, catering, venue energy, printed courseware, and shipped materials all sit around the learning event. In many training programmes, travel is the largest and most visible part of the footprint, but it is rarely the only material source.
A useful way to define the boundary is to apply the logic of the GHG Protocol scopes. Direct office or venue fuel use may fall into scope 1, purchased electricity into scope 2, and most travel, accommodation, suppliers, printed materials, and digital platforms into scope 3. For a training provider, scope 3 is often where the hardest measurement questions appear because the data comes from airlines, hotels, venues, cloud platforms, suppliers, and customer travel patterns rather than from a single internal system.
This matters because a training model can appear cleaner than it is if the boundary is too narrow. Counting instructor flights while excluding delegate travel creates a partial picture. Counting venue energy while ignoring hotels underestimates multi-day classroom events. Treating virtual delivery as emissions-free overlooks streaming, lab environments, cloud hosting, learner devices, and network use. A credible training emissions model needs to state what is included, what is estimated, and where data quality still needs improvement.
The report describes a strategic push toward virtual training and a sharp reduction in scheduled onsite courses. The most prominent operational change is a reported 99% reduction in scheduled onsite courses, supported by the move to virtual events and digital courseware. That shift reduces the need for instructor and delegate travel and removes emissions associated with producing and transporting physical learning materials.
The report also highlights travel-related reductions: a 90% reduction in instructor flight emissions and a 93% decrease in the number of hotel nights used by delegates and instructors. These figures are important because they show that delivery model changes affect more than one emissions category. Fewer onsite events can reduce flights, overnight stays, local transport, printed materials, and venue demand at the same time.
| Area | Reported change | Why it matters |
|---|---|---|
| Scheduled onsite courses | 99% reduction | Reduces travel demand, venue use, and related accommodation needs. |
| Instructor flight emissions | 90% reduction | Addresses one of the most carbon-intensive parts of traditional delivery. |
| Hotel nights for delegates and instructors | 93% decrease | Shows the wider effect of fewer travel-dependent classroom events. |
| Course materials | Shift from physical to digital courseware | Reduces printing, storage, shipping, and disposal impacts. |
The numbers are strongest when they are interpreted within their operational context. They reflect changes in the organisation’s own delivery and travel model, rather than a universal benchmark for all IT training. A multinational enterprise with regulated lab requirements, a public sector organisation with accessibility constraints, or a customer running internal academies across remote sites may need a different balance of virtual, local, and onsite delivery.
The 2024 report acknowledges that quantifying every aspect of environmental impact remains challenging. That caveat is important. Sustainability reporting in training can quickly become unreliable when baselines are unclear, travel assumptions vary by year, or digital delivery is counted inconsistently.
Common reporting pitfalls include missing a clear baseline year, excluding scope 3 travel and supplier emissions, using inconsistent emissions factors for travel classes, undercounting accommodation, and treating cloud-based labs as immaterial because they are not physically visible. In practice, a training emissions model should separate measured data from estimates. Booked flight records, hotel nights, course delivery logs, and venue invoices usually carry higher confidence than broad assumptions about learner behaviour or home-office device use.
Digital training also needs practical controls. Virtual delivery removes many travel impacts, but it still uses platforms, lab environments, network traffic, cloud compute, and end-user devices. Lower-carbon digital practice may include rational lab scheduling, avoiding always-on sandbox environments, selecting efficient hosting locations where options exist, setting sensible video defaults for large sessions, reusing digital learning assets, and closing unused environments promptly after training. These steps are operational rather than symbolic; they reduce waste without weakening the learning experience.
The lowest-emissions option is not always the right learning option if it undermines the purpose of the programme. Highly interactive workshops, team-based transformation projects, or complex enterprise rollouts may sometimes justify local in-person delivery. The better decision is to match delivery mode to learning need while removing avoidable travel.
A practical model starts with pedagogy. If the course depends mainly on instruction, guided labs, demonstrations, and exam preparation, virtual instructor-led delivery is often a strong fit. If the training requires stakeholder alignment, cross-functional workshops, or hands-on collaboration around internal systems, a local hub can reduce long-distance travel while preserving face-to-face work. Full onsite delivery should be reserved for cases where the location itself is essential or where accessibility, security, equipment, or operational constraints make remote delivery unsuitable.
For local and onsite delivery, procurement decisions can materially reduce emissions. Sustainable venues, consolidated cohorts, rail-first routing where practical, instructor proximity, reduced overnight stays, digital materials, and supplier assessments built into contracts all influence the footprint. These choices also improve reporting because travel, venue, and supplier data can be specified at the procurement stage rather than reconstructed after the event.
The report is most useful for customers when it is translated into planning habits. Learning and development teams can start by mapping their highest-volume training categories, identifying which courses require travel, and separating delivery decisions from legacy preference. Many classroom sessions continue because they have always been run that way, not because the learning design requires it.
A repeatable approach is to classify each programme by learning objective, accessibility requirements, lab intensity, security constraints, and travel burden. Virtual delivery can then become the default for suitable technical courses, local hubs can support enterprise project training, and onsite sessions can be reserved for defined exceptions. This is close to the model described in the report: a strong shift to virtual training, continued use of local centres for enterprise project needs, and more careful venue selection where physical delivery remains necessary.
Supplier management is another practical lever. Training buyers can ask providers how they handle digital courseware, virtual meetings, instructor travel, venue selection, emissions calculations, and supplier assessments. The point is not to demand perfect data from every supplier immediately. It is to create consistent expectations so that training emissions become visible, comparable, and manageable over time.
The next stage is better measurement and more disciplined operational practice. The report points to continued work on digital best practices, hosting locations, supplier assessments, office practices, and improved CO2 emissions calculation methods, especially around delegate and instructor travel. Those areas are sensible because they address both emissions reduction and reporting confidence.
The key takeaway is that lower-carbon IT training depends on design choices made before a course is scheduled. Delivery mode, travel policy, venue selection, digital lab management, courseware format, and supplier requirements all shape the final footprint. To review the full methodology, results, and stated next steps, download the Readynez 2024 Sustainability Report.
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