AI Ethics and Data Centres in Africa

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AI ethics

AI Ethics and Data Centres in Africa

  • Pacfaie Courses
Course menu
Module 1: Data centres and AI: foundationsSign in and enrol to open

10 lessons

Module 2: Africa's data centre landscapeSign in and enrol to open

7 lessons

Module 3: Ethics, justice and rights in digital infrastructureSign in and enrol to open

7 lessons

Module 4: Law, policy and regulationSign in and enrol to open

8 lessons

Module 5: Energy, grids and emissionsSign in and enrol to open

11 lessons

Module 6: Water and the local environmentSign in and enrol to open

7 lessons

Module 7: Land, siting and community consentSign in and enrol to open

8 lessons

Module 8: Jobs, labour and local benefitSign in and enrol to open

7 lessons

Module 9: Hardware lifecycle, minerals and e-wasteSign in and enrol to open

8 lessons

Module 10: Data sovereignty, security and geopoliticsSign in and enrol to open

8 lessons

Module 11: Permitting, investment safeguards and accountabilitySign in and enrol to open

8 lessons

Module 12: Contested claims: weighing the evidenceSign in and enrol to open

8 lessons

Module 13: Final exam and capstoneSign in and enrol to open

4 lessons

Length
About 52 hours, self-paced
Lessons
101
Language
English

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AI runs in data centres: buildings full of servers that need large amounts of electricity, cooling, water, land and hardware. Africa’s data centre capacity is growing fast, driven by cloud services, data localisation rules and AI. Data centres can bring better connectivity, investment and digital sovereignty. They can also strain power grids and water supplies, use land without fair consultation, create few local jobs and add to e-waste. This course gives professionals an ethical, rights-based approach to governing data centres and AI infrastructure in Africa.

Who it’s for

Officials in digital, energy, water, environment, planning and investment ministries; regulators and utilities; local governments; development finance institutions and investors; data centre operators and their sustainability teams; civil society, community organisations and journalists; and researchers. No technical background is needed.

What you’ll be able to do

  • Explain how data centres work and why AI is driving their growth.
  • Map Africa’s data centre landscape and the actors involved.
  • Apply ethics, justice and human rights to digital infrastructure.
  • Navigate the laws and policies that apply.
  • Assess energy, grid, emissions and water impacts.
  • Assess land, siting and community consent, and local jobs and benefits.
  • Address the hardware lifecycle, minerals and e-waste.
  • Weigh data sovereignty, security and geopolitics.
  • Design permitting, investment safeguards and accountability.
  • Weigh competing claims about data centres, from jobs and water to minerals and sovereignty, against the evidence.

How it works

Thirteen modules, about 52 hours, at your own pace. Short readings, labs and interactive practice set in fictional African cities and projects.

Assessment: module quizzes, five applied assignments, including a carbon footprint calculation, a timed final exam, and a capstone assessment of a proposed AI data centre.

Certificate

Complete every step to earn the Certificate in AI Ethics and Data Centres, a verifiable digital certificate and Open Badge, showing your capstone result.

Certificate and badge

Completed thirteen modules covering data centre foundations, Africa's data centre landscape, ethics, justice and rights, law and policy, energy and emissions, water, land and community consent, jobs and local benefit, hardware lifecycle and e-waste, data sovereignty and security, permitting, investment safeguards and accountability, and contested claims and evidence; passed every module quiz, five rubric-marked applied assignments and a timed final exam; and completed an assessor-marked capstone.

Instructor

  • Pacfaie Courses
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