Programmes across AI, data, cloud, engineering, security and leadership, rebuilt around your own products, policies and workflows before anyone sits down.
Every programme is specified like this before it is priced.
In brief
Training & Enablement is the practice at EigenSpark that gets your own people competent enough to run the work without a facilitator in the room. It serves individuals learning one skill, teams changing how a function operates, and organisations that need the same vocabulary from the board to the branch. The curriculum covers AI and machine learning, data and analytics, cloud, software engineering, DevOps, cybersecurity and compliance, enterprise platforms, and leadership readiness. Course material is rebuilt around your products, your policies and your workflows before delivery, and it is assessed against your own material.
Delivery tiers
The tier decides the format, the length, and who is standing at the front. Pick the one that matches the problem.
One person who needs one skill.
AI literacy, prompt engineering, and role-specific skilling. An analyst who has to work differently on Monday, an engineer moving onto a new stack, a manager who has to read the output and judge it.
A function that has to change how it works.
Applied AI for a specific function, workflow redesign around what the tools can actually do, and coaching that sits inside the team’s own workload.
A business that needs the same language everywhere.
Leadership fluency so sponsors can judge a proposal, governance and responsible AI so the risk team can sign one off, and centre of excellence design so the work does not depend on four enthusiasts.
Delivered so far
Across banking and financial services, manufacturing, steel, and public sector enterprises. Cloud tracks, data tracks, security tracks, engineering tracks, and leadership rooms where the point was to make a sponsor able to question a proposal.
AI leads the catalogue because that is what most organisations ask about first. The rest of the catalogue is what makes it work: teams that can query their own data, run their own cloud and secure their own systems get more out of every AI programme we run.
The catalogue
Each category has its own page with the full course list, and every course carries a level, a format and a real duration.
Model building, generative AI, and the judgement to know when the output is wrong.
→Querying, modelling and reporting, up to the point where an analyst can defend a number.
→Architecture, cost control and operations across the major cloud platforms.
→Language and framework tracks, and the review habits that keep a codebase readable.
→Pipelines, infrastructure as code, and releasing without a rollback plan in the chat.
→Threat handling, secure development, and the regulatory ground your auditors stand on.
→The platforms the business actually runs on, taught against your configuration.
→Enough fluency to sponsor a programme, question a vendor, and read a model’s limits.
→ FlagshipThe deepest catalogue here. Banking language throughout, across AI, data, risk and compliance.
→Categories are added as demand appears, and a programme can be assembled across several of them. If what you need is not here, describe it and we will tell you honestly whether we should build it.
How it is delivered
The choice is usually made by geography, shift patterns and how much has to run on your own systems.
A large population learning at different speeds, and reinforcement after a live session.
Teams across several locations who still need to interrupt and ask.
Hands-on work against your own systems, and cohorts that need to be in one room.
Live for the parts people get wrong alone, self-paced for the rest. Most large programmes end here.
Related product
A facilitator cannot be in eleven locations at once, and a centrally written course goes stale the moment a product changes.
See TabyLearnRelated
Training was the way in. It became an operating model.
→ IndustryThe industry page behind the deepest catalogue on this site.
→ ProductOur LMS and course creation tool, for when a facilitator cannot be everywhere.
→ PillarDesigning the centre of excellence people get trained into.
→ PillarGetting a team fluent in a system built for them.
→ FunctionThe function that usually owns the programme.
→FAQs
Yours. Course material is rebuilt around your products, your policies and your workflows before delivery, and the capstone is worked against your own anonymised files. A generic example teaches someone else’s job, and people forget it by the following week.
Most of the work is exactly that. Credit officers, procurement leads, HR teams, branch staff and boards. The technical curriculum exists in parallel for engineers and analysts, and the two are written separately for each audience.
The measure is agreed before delivery, and it is behavioural. Assessment on your own material, a capstone a manager reviews, and an agreed check some weeks later on whether the work is actually being done the new way.
No. The catalogue covers data and analytics, cloud, software engineering, DevOps, cybersecurity and compliance, enterprise platforms, and leadership. AI leads because that is what most organisations ask for first, and it is a minority of what we deliver by volume.
Yes, and the shape changes when you do. Above a few hundred people a programme becomes self-paced content plus live sessions for the parts people get wrong alone, plus a trained internal cohort who carry it further. We design for that from the start.
Send the audience, the skill gap and the deadline. You will get a programme sheet like the one at the top of this page. We reply within 48 hours.
Talk to us