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CASE STUDY · 2023–2024

Enterprise AI training

Practical adoption tailored to departments and real work.

PROJECT VIEWS

Preview of Enterprise AI training

Illustrative composition · Sample data

01

Context

Teams with different technical levels and responsibilities needed to adopt LLMs without sitting through a generic product demo.

02

The challenge

Turn a fast-moving technology into repeatable, safe and useful practices for each department.

03

The response

Programs used work-based exercises across prompting and context, output evaluation, privacy, automation and continued support.

04

Outcome

Applied AI adoption programs alongside earlier backend mentoring experience as an Ironhack Teaching Assistant.

DEVELOPMENT

Project highlights

  • ✓Department-tailored training
  • ✓Work with technical and non-technical roles
  • ✓Earlier technical mentoring experience
Client identity and data remain confidential.
ECOSYSTEM / NEXT

Start with team judgment, then carry it into a real system.

01 / NEXT ROUTE

Applied training

Learn the judgment and method required to apply it autonomously.

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02 / NEXT ROUTE

Consulting & development

Turn this idea into an owned, measurable and transferable system.

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NEXT STEP

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