Training & skills

Corporate learning designed for measurable capability growth.

Start Attractor designs customized upskilling and reskilling paths with HR and business leaders to support green and digital transitions, technology mastering and AI adoption across organizations.

Explore some examples Request a proposal
🎯 Tailored to business priorities 🧠 Academic + industry expertise 📈 Designed for measurable outcomes
Start Attractor careers
Formats
3 delivery modes
In person
Online live
Blended
Outputs
Capability to action
Skill maps
Projects
KPI tracking
What we offer

Programs built around your learning priorities

Each learning path is designed around the capabilities your organization needs to strengthen, from leadership and innovation to digital, sustainability and AI.

Focus areas
Training themes with immediate relevance
  • AI adoption and data literacy for executives and non-technical roles
  • Digital skills for frontline teams and middle management
  • Sustainability and circular economy in operations
  • Innovation leadership and intrapreneurship toolkits
  • Custom academies with micro-credentials and capstone projects
Delivery logic
Flexible formats, clear outcomes

Programs can be delivered in Pisa, on-site, online live or in blended format, with a structure designed to support participation, application and measurable progress.

In person Online live Blended
How we work

A pragmatic design-to-impact approach

We design learning paths with the same logic used in strong innovation programs: start from priorities, test what works and build for scale.

01
Discover

Identify skills gaps, business priorities and stakeholder expectations.

02
Design

Build the journey, exercises, assessments and supporting materials.

03
Pilot

Run an initial cohort, gather feedback and improve what matters most.

04
Scale

Extend across teams with dashboards, iteration and continuous improvement.

   

We can also align learning paths with broader open innovation initiatives, pilots and venture programs.

Our predefined offer

Examples of ready-to-run courses

Choose a module as it is, or use it as a starting point for a tailored corporate learning path.

Special pricing may apply to corporate bundles, promoters and partners of Start Attractor, and Start Club members. Fees are VAT excluded.

Course
AI for CEOs & Top Management: Strategy, Governance & Risk

How to lead AI adoption in your company: value creation, the role of a Chief AI Officer, governance, risk and regulation.

Target
CEOs, General Managers, Board members, Executive Committee, C-level & BU Directors
Duration & Format
8 hours (4 modules x 2h), 1+ days, on-site or external location
Participants
Min 6 – Max 16
Goal

Understand where and how AI can generate concrete value (revenue, efficiency, risk). Define an AI operating model (CoE, BU teams, partnerships) and the CAIO mandate. Evaluate AI initiatives with essential business/adoption/risk KPIs readable at board level. Frame ethical, reputational and legal risks (AI Act, GDPR, sector regulations). Draft a first AI roadmap and a company AI Charter (principles + baseline rules).

Teachers
  • Senior advisor with experience in:
  • - AI and data-driven transformation in industrial contexts
  • - C-level roles and governance models
  • - AI governance, risk, compliance and regulation
Topics
  • AI as a competitive advantage (decisions + automation)
  • AI operating models: centralized, federated, hybrid
  • AI portfolio, standards, policies and governance
  • Value metrics: business, adoption, risk/quality
  • AI Act / GDPR: risk levels, obligations, practical implications
  • Building an AI Charter (5-point framework)
Teaching methods
  • Interactive session with executives
  • Realistic sector case discussions
  • Short group work: use-case mapping, operating model design, KPI dashboard, AI Charter
  • Plenary sharing and cross-sector comparison
Output
  • Course slides (PDF)
  • Templates: AI use-case mapping, KPI definition, operating model, AI Charter
  • Executive summary after the course with priorities and next steps
Material
  • Slide deck
  • Templates & worksheets
Ask about this course
Course
AI for Middle Managers: From Use Cases to Execution

How to identify, structure and execute AI initiatives in operational processes, aligned with top management AI strategy.

Target
BU / function leaders, managers across areas, team leaders
Duration & Format
10–12 hours over 2+ days, on-site or external location
Participants
Min 6 – Max 16
Goal

Spot concrete AI opportunities in the processes you own. Structure an AI use case in a way that is readable by C-level, IT and data teams. Define and monitor essential KPIs (business, adoption, risk). Manage change and adoption in your team, reducing fear and resistance. Translate the company AI Charter into day-to-day decisions.

Teachers
  • Senior advisor with experience in:
  • - AI and data-driven transformation
  • - C-level roles (CAIO/CDO) and governance
  • - AI governance, risk, compliance and regulation
Topics
  • Process mapping and AI opportunities
  • Use case anatomy: problem, process 'as is', actors, data, constraints
  • Project lifecycle: discovery → MVP/PoC → pilot → scale
  • Basic technical metrics (false positives/negatives, thresholds)
  • KPIs: business, adoption, risk/quality; incident handling
  • Operational change management and a 90‑day action plan
Teaching methods
  • Interactive lessons and case discussions
  • Group work on participants' real roles and scenarios
  • Templates: Use Case Canvas, KPI sheet, 90‑day plan
  • Plenary sharing and peer learning
Output
  • Course slides (PDF)
  • Templates: process/use-case mapping, KPI definition, operating model, AI Charter
  • Executive summary after the course with priorities and next steps
Material
  • Slide deck
  • Templates & worksheets
Ask about this course
Course
Effective Prompting: How to Talk to AI to Get Useful Results

A live workshop to learn how to write prompts that reliably produce useful outputs for everyday work.

Target
Operational roles interacting with AI assistants/agents
Duration & Format
4-hour live lab
Participants
Min 10 – Max 25
Goal

Understand what a prompt is and why it impacts output quality. Apply 4 basic rules for good prompts. Use model prompts for daily tasks (emails, summaries, ideas, tables, translations, procedures). Iterate prompts (draft → refinement) to improve relevance. Use prompting responsibly, aligned with company AI policies.

Teachers
  • Senior advisor with experience in:
  • - AI and data-driven transformation
  • - C-level roles (CAIO/CDO) and governance
  • - AI governance, risk, compliance and regulation
Topics
  • Prompt fundamentals: context, role, objective, output format
  • Good vs bad prompts; live demos
  • Rewrite and improve texts, lists and tables
  • Translations and adaptations
  • Safety rules, verification and control
Teaching methods
  • Interactive lab with live demos
  • Short explanations followed by exercises
  • Pair work and plenary mini-exercises
Output
  • Course slides (PDF)
  • Generic prompt template
  • 10 ready-to-use common prompts
Material
  • Slide deck
  • Prompt templates
Ask about this course
Request a proposal

Tell us the challenge you want to address

Share your context and we will propose a tailored learning path with objectives, format, timing and expected outcomes.

What to share
The inputs we need
  • Industry and organizational context
  • Target audience and cohort profile
  • Skills priorities and expected business relevance
  • Preferred timing and delivery format
What you receive
A tailored learning plan
  • Objectives and recommended structure
  • Workshop or academy format
  • Timeline and participation model
  • Outputs such as capability maps, projects, certifications and KPI dashboards
Contact us