Professional CertificateResearchers · Postgraduates · Academic Leaders

AI-Powered Academic Integrity

Use generative AI without surrendering scholarly judgment.

Build a defensible research workflow for prompting, source verification, disclosure, academic voice, privacy, bias, governance, and reproducibility.

4 weeks6–8 hours/week6 applied modulesPortfolio assessment

Who should enroll

Built for people responsible for credible scholarship.

  • ✓ Doctoral candidates and postdoctoral researchers
  • ✓ Graduate students and research assistants
  • ✓ Early-career faculty and principal investigators
  • ✓ Research librarians, integrity officers, and faculty developers
  • ✓ Editors, grant writers, and academic consultants

What you leave with

Evidence of competence, not just attendance.

01

Research Lifecycle AI Map

02

Versioned Prompt Architecture Library

03

Three Claim–Evidence Verification Logs

04

Disclosure Statement Suite + Academic Voice Charter

05

Data-Use Decision Matrix

06

Capstone AI-Augmented Research Workflow

Four-week curriculum

Six modules from task selection to audit-ready workflow.

W1

Foundations of Generative AI in the Research Lifecycle

Map legitimate, high-risk, and prohibited AI uses across the full research lifecycle.

Applied output: Research Lifecycle AI Map

W1

Precision Prompt Architecture for Scholarly Tasks

Build controlled, evidence-bounded prompts that are testable, reusable, and easy to verify.

Applied output: Versioned Prompt Architecture Library v1

W2

Hallucination Detection, Verification & Source Integrity

Verify bibliographic, factual, numerical, methodological, and interpretive claims at claim level.

Applied output: Three Claim–Evidence Verification Logs

W3

Ethical Disclosure, Academic Voice & Authorship

Disclose AI assistance proportionately while preserving human authorship, responsibility, and intellectual voice.

Applied output: Disclosure Statement Suite + Academic Voice Charter

W3

Privacy, Bias, Data Governance & Institutional Compliance

Classify data before tool selection and build safe, reviewable rules for AI-assisted research.

Applied output: Data-Use Decision Matrix

W4

Reproducible AI-Augmented Workflows & Capstone Integration

Integrate prompts, evidence, governance, verification, disclosure, and human checkpoints into an auditable research system.

Applied output: Capstone AI-Augmented Research Workflow

Research faster. Defend every decision.

Build an AI workflow you can explain to a supervisor, reviewer, collaborator, or audit committee.

Enroll once for ₦35,000 in Nigeria or $79 internationally and retain lifetime access to the interactive course.

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