AI for Utility-Scale Solar — program cover
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AI for Utility-Scale Solar

First 2027 scholarship call

AI for Utility-Scale Solar

A large ground-mounted solar plant, explained to someone who has never set foot in one. The model proposes. The person energises.

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

  • Describe a ground-mounted plant without acronyms: panel, inverter, meter, substation hut.
  • Read a day's energy from the meter, with its closing time, before any model.
  • Keep a model's layout change as a proposal, never as a work order.
  • Write a one-page note anyone can archive, with the energisation signature left blank.
  • 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 — The site

  • What AI is and how it reached solar plants
  • The plant as a site
  • Who works there
  • A normal day
  • Your role

02 — The number that already exists

  • The meter
  • Measured sun
  • Three losses
  • The day, without a model

03 — Where the model may propose

  • What a lane is
  • The 6 % announcement
  • What it leaves out
  • Store, don't build

04 — The tool

  • Tomorrow's forecast
  • The plant copy
  • What it doesn't see
  • Comparing tomorrow

05 — The failure

  • The chat and the drawing
  • No time, no meter
  • The disguised proposal
  • What gets kept

06 — The file

  • From one day to the plant
  • The page
  • Who energises
  • Defending it

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: certified with the IntellCore AI Act Method™

Practical application

  • · Work one case for six weeks: a 40 MW ground-mounted plant where a model announces 6 % more if one lane moves, while yesterday's meter has not moved.
  • · Defend the note in a site meeting. The program never teaches how to connect the plant.

Practical project: A one-page note: day data, the 6 % announcement, what was not checked, preparation signed, energisation left blank

Who is this for?

  • · People who will sit in front of a solar plant's file
  • · Energy, asset and project teams without field vocabulary
  • · Analysts reviewing model proposals

Requirements

  • · No prior site experience
  • · No programming required
  • · 8 academic credits
Faculty chair portrait — AI for Utility-Scale Solar

Meet your instructor

AI for Utility-Scale Solar

Chair, AI for Utility-Scale Solar

Ground-mounted plants, meter data, layout proposals and the plant file — the model proposes, the person energises.

Teaches: AI for Utility-Scale Solar

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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