Frequently Asked Questions

Everything you need to know about the KNUST AI Initiative — and how to navigate your course.

1What is the KNUST AI Initiative?

The KNUST AI Initiative is a university-wide effort to design, coordinate, and deliver high-quality Artificial Intelligence education and capacity-building programmes across all colleges. It focuses on AI literacy, applied learning, ethical practice, and long-term sustainability.

2Who can participate in the AI courses?

AI courses are open to:

  • Undergraduate and postgraduate students across all colleges
  • Academic and administrative staff
  • Professionals and members of the wider community, depending on course type and delivery mode

Some courses may have prerequisites, which will be clearly stated.

3When will the AI courses begin?

The first set of approved AI courses will begin in January 2025, with additional self-paced courses rolled out progressively thereafter.

4Are the AI courses compulsory?

Some foundational AI literacy courses may be required for specific programmes, while others are elective or self-paced. The exact structure depends on programme requirements and Academic Board approval.

5How are the AI courses delivered?

Courses are delivered using a combination of:

  • Self-paced online modules
  • Blended learning approaches
  • Instructor-supported sessions where applicable

This flexible model allows learners to progress at their own pace while maintaining academic quality.

6Will I receive a certificate after completing an AI course?

Yes. Learners who successfully complete AI courses will receive:

  • Digital certificates or micro-credentials
  • Stackable badges that can contribute toward broader AI competency recognition

Details vary by course.

7How does the initiative ensure quality and academic standards?

All AI courses are designed using:

  • Outcome-based curriculum principles
  • Constructive alignment of learning outcomes, activities, and assessments
  • Recognised instructional design and quality assurance frameworks

Courses are reviewed and updated regularly to ensure relevance and rigour.

8How does KNUST address ethical and responsible AI use?

Ethical AI is a core principle of the initiative. Courses include guidance on:

  • Responsible and transparent AI use
  • Data privacy and security
  • Fairness, bias awareness, and academic integrity

All participants are expected to adhere to KNUST’s AI use guidelines.

9Will lecturers and staff receive training in AI?

Yes. Dedicated capacity-building programmes are available for staff, tailored to different disciplines and roles, to support effective AI integration in teaching, research, and administration.

10Does KNUST work with external partners on AI courses?

Yes. KNUST collaborates with carefully selected academic, industry, and development partners. All partnerships are guided by principles of local ownership, capacity building, and alignment with institutional priorities.

11How can I get involved or learn more?

You can get involved by:

  • Enrolling in AI courses
  • Participating in training or events
  • Collaborating as a partner
  • Contacting the Office of the Coordinator for AI Courses for further information

Step 1 — Accessing the Course

Course Linkhttps://prof-asante.speradigital.com/
User ID
Password
DeviceWorks on desktop, laptop, tablet or mobile browser. No app needed.

Step 2 — Creating an Account, Logging In and Opening the Course

Follow these screens to create your account (if you don’t already have one), sign in, and reach your course. The whole sequence takes just a few minutes.

Step 3 — What You Will See on the Course Home Screen

Once inside the course, the screen is divided into two areas:

Step 4 — Course Structure at a Glance

ModuleFocus AreaEach Module Contains
1Foundations of Applied AI in GhanaLesson · AI Solution Blueprint · Quiz · Reflection Assignment
2Data Availability & AI ApplicationsRural Context · Immunisation Case Study · Quiz · Reflection
3Agriculture & Food Systems AIGhana Farmer Line Case Study · AI-driven tools · Quiz
4Healthcare AI ApplicationsAI-driven Medical Support Case Study · Quiz · Reflection
5Climate & EnvironmentGhana-specific datasets · Climate risk modelling · Quiz
6Financial Services & Fintech AIMobile money data · Banking AI · Quiz · Reflection
7Ethical, Legal & Social DimensionsResponsible AI · Governance frameworks · Quiz
8Project Design & ImplementationDesign frameworks · Real-world brief · Quiz · Reflection
9Capstone ProjectSector-specific brief · Source Code PDF · Pharma Dataset · Dashboard · Capstone Submission

What This Build Demonstrates