A FocusHub flagship
Courses in AI, data, and software taught through assessed work.
Choose one course for a specific skill or follow a curated pathway with the course order already set. Lessons lead to exercises, projects, feedback, and a certificate when you meet the published requirements.
From course selection to certificate
- 1
Select
Choose one course or a curated pathway
- 2
Study
Complete lessons and module activities
- 3
Submit
Hand in assessed work and review feedback
- 4
Complete
Meet the pass and certificate requirements
Curated learning pathways
We have selected and ordered the courses for each pathway
Each pathway is a curated course sequence for one subject area. It shows where to start, which course follows, and the certificate awarded after the full sequence is completed.
Course delivery
Every course follows the same learning cycle
Study the lesson, complete the activity, submit assessed work, and use the feedback to finish the module or revise your submission.
Lessons are followed by coursework
Each module moves from instruction to an exercise, decision, or project. The course page lists the assessed work before you enrol.
Feedback is attached to the submission
Grades, rubric comments, and resubmission instructions stay with the work they refer to, so you can see what earned the grade and what must change.
Requirements are published before payment
Every course page states the price, prerequisites, weekly workload, assessment method, pass mark, and certificate conditions.
Core pages work on phones and slower connections
Course navigation, reading, progress, and feedback are available on mobile. A course lists any activity that specifically requires a computer.
Course records
What Bullish AI records when you complete a course
Course completion can include submitted work, released grades, instructor feedback, and a verifiable certificate. The exact requirements are listed on each course page.
- Submitted projects that remain available for revision and portfolio use
- A public certificate verification page after all certificate conditions are met
- Assessment of how you explain your choices, results, and limitations
- A course record containing progress, released grades, and feedback
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- Courses
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- Learning pathways
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- Ways to study
Featured courses
Courses available in the catalogue
Compare the subject, entry level, weekly workload, price, assessment, and certificate requirements before enrolling.
Inside a course
Coursework, feedback, and progress stay together
The learning environment connects each activity to its submission status, grade, feedback, and completion requirement.
Projects remain available after submission
You can return to submitted projects, apply the feedback, and prepare an approved version for your portfolio.
Explanations are part of the assessment
Projects ask you to explain why you chose an approach, where it may fail, and what you would change with more evidence.
The course page keeps your place
When you return, it shows the current module, incomplete activities, upcoming deadlines, and newly released feedback.
FocusHub Africa AI Fellowship
The Fellowship adds a track project, mentorship, and final review
The Fellowship brings a small cohort together for focused projects, regular review, and mentorship. Admission is selective because the work requires time, consistency, and a solid foundation in your chosen track.
- Selective admission
- Track-based projects
- Mentorship and review
- Clear progression requirements
Course examples cover work in these sectors
- Health institutions
- Fintech employers
- Public sector
- Universities
- Development partners
Bullish AI runs FocusHub’s courses and learning programmes
Bullish AI is the learning platform created for FocusHub’s AI courses, the Bullish AI School, and the FocusHub Africa AI Fellowship. Your courses, assessments, feedback, and certificates all live here.