That mix helps. People from different universities bring different supervisors, rules and research problems, so the questions in class get sharper for everyone.
Most postgraduate students who stall are stuck on the mechanics of research: finding the right literature, keeping citations in order, structuring the dissertation and writing consistently while the deadline gets closer. These skills are rarely taught step by step, so students end up isolated, confused and graduating later than planned. That's the gap FuKazee works on.
Often the fix is a better toolset. Used well, AI does in minutes what used to take weeks. Used carelessly, it wastes your time or puts your degree at risk. ScholarShift Accelerator teaches you to use it well.
You've downloaded more papers than you can read, and you still can't tell which ones matter or how they connect.
You're reading a lot, but your notes and references are scattered, and you've stopped trusting your own system.
Your supervisor sends the draft back. Then sends it back again. Each round pushes your timeline out and chips at your confidence.
Use AI without getting flagged. Learn how to cite it, disclose it and stay inside your university's rules.
Learn the Four C's and CRAFT frameworks, so your prompts give you precise output you can actually use in research.
Search, map and synthesise sources much faster with SciSpace, LitMaps, NotebookLM and Zotero.
Set up Zotero and a simple system for your sources, notes and references, so nothing goes missing at submission.
Get AI feedback on structure and clarity, then build your presentation in Canva before you submit and defend.
Build your own AI assistant in AI Studio or Gems, set up with prompts you can reuse on your own workflow.
Each week has one theme, practical exercises and tools you can use straight away on your own topic, paper, proposal or thesis.
Start with what responsible AI use looks like in academic work.
Map AI onto each stage of your research, from early thinking to drafting.
A hands-on session that pulls your review workflow together with the tools from the first two weeks.
Another build session, so you leave with a presentation workflow you can repeat.
Monday to Thursday, 8:00 PM to 9:30 PM on Google Meet. Every session is recorded and stays available for one year.
Weekend sessions in person at 124 Manyani East Road, Nairobi, where you apply the week's work. If you're outside Nairobi, a virtual session runs in parallel.
Missed a class because of work or family? Watch the recording and you're back in step with the rest of the cohort.
Here are the current and upcoming intakes. If the next date isn't showing yet, WhatsApp or call us and we'll confirm when the next ScholarShift Accelerator cohort starts.
Next intake
Checking dates
If no date appears, WhatsApp or call us and we'll confirm the next start.
Six questions about your programme, where you're stuck and what slows you down. You'll get a research-workflow score, a plan mapped to the four weeks and the next cohort date.
KSh 20,000
One payment covers the whole 4-week cohort, the weekend sessions and a year of recordings.
KSh 10,000now
Pay KSh 10,000 now to hold your place, then KSh 10,000 midway through the programme.
Checkout runs on Paystack. Pay by card, or approve the M-PESA prompt that comes up on your phone. Your receipt arrives by email straight away, and we confirm your place on WhatsApp.
The questions we hear most often before someone joins a cohort.
FuKazee's ScholarShift Accelerator is a 4-week AI training cohort for Masters and PhD students: live classes on Google Meet, Monday to Thursday evenings, plus weekend meetups in Nairobi. It covers AI ethics, prompting, literature reviews, Zotero, academic writing and building your own research assistant. Researchers from universities in Kenya, Ghana and Scotland have taken part.
The October 2026 cohort starts on Monday 26 October. The next one is planned for late January 2027, after the university exam period. Message us on WhatsApp to be told first when the dates are set.
Yes. Casual ChatGPT use is only the start. ScholarShift Accelerator teaches research workflows, specialised tools, advanced prompting, ethics and custom AI assistants, which most postgraduate students have never set up properly.
Yes. The programme works fully online. Weekend workshops have a virtual option running in parallel for learners outside Nairobi or outside Kenya.
Classes run in the evening, from 8:00 PM to 9:30 PM. Every session is recorded, so if work, research or family keeps you from a live class, you can catch up.
Yes. Academic integrity is a core part of the programme. We teach citation, transparency, journal guidelines and responsible AI use explicitly.
Yes. There's live Q&A in every session, recordings of anything you miss, and direct access to Rodney throughout the 4-week programme.
Yes. Pay KSh 10,000 upfront and KSh 10,000 midway through the programme.
The programme is built around postgraduate research, but the AI and prompt-engineering skills carry over to consulting, strategy, policy, writing and other professional work.
Join the next ScholarShift Accelerator cohort. Four weeks of evenings, and you come out with an AI research workflow you can use for the rest of your thesis.
