AI Productivity — program cover
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Applied AI

First 2027 scholarship call

AI Productivity

Redesign knowledge work with reliable AI assistance, verification and measurable time savings.

Developed under the new AI Act model · Continuous updates

Developed under the new AI Act model · Continuous updates

IntellCore campus app, available on iOS and Android

Edition 2026

200 hours of applied learning

8 academic credits

25 lessons + 6 workshops

Digital campus

Verifiable certificate

550 USD one payment · or 2 × 275 USD (today and after 30 days)

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What you'll learn

  • Map repeatable knowledge tasks and pick the ones that admit assistance.
  • Set time and quality baselines before using AI.
  • Apply risk and data limits: what never goes into an assistant.
  • Design reusable AI workflows for research, synthesis, drafting, meetings, mail and spreadsheets.
  • Verify outputs and sources with checks proportional to risk.
  • Measure quality and time saved, sustain habits and stop what does not pay.
  • Apply the IntellCore AI Act Method™: classify the risk of an AI use case in your field and document it under the AI Act 2026.

Program curriculum

01 — Work analysis

  • What AI is and how it reached knowledge work
  • Task decomposition
  • Time and quality baselines
  • Risk and data limits: what never gets pasted
  • What the studies say: the jagged frontier

02 — Research and synthesis with sources

  • Assisted research with sources
  • Synthesis of long documents
  • Compare and decide: extraction into matrices
  • Reusable instructions: the workflow card

03 — Drafting, meetings, mail and spreadsheets

  • Drafting: from assisted draft to signed text
  • Mail: triage, reply and never auto-send
  • Meetings: prepare, transcribe and minute
  • Spreadsheets: native formulas and checks

04 — Verification and review

  • Why a model gets things wrong
  • Verifying sources, figures and citations
  • The assistant as reviewer
  • Risk-proportional verification

05 — Adoption: habits and measurement

  • Designing AI work habits
  • Before-and-after measurement
  • Team adoption and AI literacy
  • Time recovered: net calculation and destination

06 — Continuous improvement and personal system

  • Continuous improvement: review, adjust, stop
  • Governing use: log, policy and frameworks
  • Keeping your own skills
  • Final project: a verified, measured personal system

07 — IntellCore AI Act Method™ applied to your field

  • The EU AI Act 2026: risk levels, prohibited practices and obligations
  • Transparency, human oversight and documentation in your professional field
  • Classifying and auditing a real AI use case step by step
  • Your compliance file with the IntellCore AI Act Method™: from system records to the review plan

Practical application

  • · Final project: a verified, measured personal AI work system, with three documented workflows, their baseline, their verification protocol, their data limits and before-and-after measurement.

Practical project: Final project: a verified, measured personal AI work system, with three documented workflows, their baseline, their verification protocol, their data limits and before-and-after measurement.

Who is this for?

  • · Knowledge workers with recurring reading, drafting and analysis tasks
  • · Team leads who must decide where to use AI and how to measure it
  • · Staff in administration, consulting, projects and professional services

Requirements

  • · No coding required
  • · Basic use of email, word processor and spreadsheet
  • · Access to an AI assistant authorised by your organisation (or a free one, with public data only)
Faculty chair portrait — AI for Business

Meet your instructor

AI for Business

Chair, AI for Business

Use-case selection, data readiness, unit economics of inference and adoption management.

Teaches: AI for Business · AI Strategy

Edition 2026

What each week includes

Every week of the program follows the same structure.

  • 01

    Explainer video per lesson

  • 02

    Guided reading (6 h)

  • 03

    IntellCore Labs · ~90 min workshop with data

  • 04

    Verified real case

  • 05

    IntellCore Podcast

  • 06

    IntellCore Radar

  • 07

    Self-assessment

  • 08

    Practice and exam (70%, 3 attempts)

  • 09

    Extended practice (5 h)

  • 10

    IntellCore AI Act Method™ module applied to your field (30 h)

  • 11

    Applied final project (30 h)

  • 12

    6 modules × 23 h + IntellCore AI Act Method™ module 30 h + final assessment 2 h + final project 30 h = 200 h

  • 13

    Downloadable PDF summary

Verifiable certificate

Verifiable certificate

200 hours · 8 academic credits

Unique verifiable code at intellcore.ai/verify

Student reviews

Reviews are published from verified students only, after the first cohort completes the program. We do not publish testimonials we cannot attribute.

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