Training & change management03

E-learning AI

A comprehensive learning ecosystem and change-management support program whose strategic goal is to systematically raise employees' digital skills in generative AI. A smooth workforce transformation, the elimination of skill gaps and maximised return on investment in AI infrastructure.

4program pillars
3deployment models
QAmeasurable reports
02 — Training program02 / 04

From fundamentals to process design

Practical skills, AI-supported learning and role evolution — all in a secure environment.

Comprehensive learning paths

Programs from the fundamental level to advanced work-optimisation techniques: data security, prompting methodology (the CRISP framework), few-shot prompting and chain-of-thought, plus full coverage of Gemini Enterprise, Workspace, Gemini Notebook and DocChat assistants.

  • CRISP framework
  • Few-shot & chain-of-thought
  • Gemini · Gemini Notebook · DocChat

Native use of LLMs in learning

The learning process itself is supported by AI built into the platform: language models analyse participants' prompts in the lab in real time, evaluate their answers and generate personalised suggestions and corrections on the fly.

  • Hands-on lab
  • Real-time evaluation
  • Personalised guidance

Evolution into a process designer

We teach teams to abandon tedious micro-management of algorithms in favour of intent engineering and the "Vibe Coding" model. Staff evolve from order-takers into architects, logical reviewers and supervisors of autonomous multi-agent systems.

  • Intent engineering
  • Vibe Coding
  • Multi-agent systems

Measurability and reporting

Built-in QA systems let you precisely track progress, run knowledge-verification tests and generate advanced analytical reports across the entire organisation.

  • Quality Assurance
  • Knowledge tests
  • Organisation-wide reports
03 — Deployment models03 / 04

Flexibility matched to your IT policy

The training platform and ready-made evaluation apps launched in line with the client's security requirements.

SaaS

Google Cloud Platform public cloud or dedicated OChK instances.

  • Google Cloud
  • OChK

Dedicated model

Single-tenant instances in GCP — full per-client isolation.

  • Single-tenant
  • GCP

On-premise

Deployment within the enterprise's own infrastructure.

  • Own infrastructure
04 / 04 — Contact

Ready to charge your business with AI?

Book a free consultation — we'll analyse your processes, choose a deployment model and show real-world use cases.

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