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Learn to Use AI for Your Postgraduate Studies.
ScholarShift Accelerator is a 4-week program for Masters and PhD students who want to use AI properly for literature reviews, academic writing, citation management, and thesis preparation without compromising academic integrity.
600+ learners taught
Across all FuKazee programs, communities, workshops, and cohorts.
12 cohorts delivered
ScholarShift Accelerator has already trained over 78 postgraduate students.
70% PhD candidates
Most of the learners we have served are already deep in serious research work.
12 already graduated
Real academic progress, not just inspiration and theory.
Who We Have Worked With
Built with real university communities, not borrowed credibility.
ScholarShift Accelerator has supported researchers from respected universities across Kenya, Ghana, and Scotland, with the University of Nairobi remaining the strongest partner relationship.
University Network
These logos represent the kind of postgraduate communities that have already trusted the ScholarShift Accelerator room.
They make the impact concrete: this is work that has reached real Masters and PhD researchers across serious academic environments.
Across Borders
One ScholarShift Accelerator cohort can bring several countries into one serious research conversation.
That mix makes the room sharper: different universities, different contexts, and stronger questions meeting inside the same learning space.
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The Problem
You started excited. Now the thesis feels heavier every week.
You started your Masters or PhD with real energy. But now the literature review keeps expanding, drafts keep coming back from your supervisor, and your references, notes, and reading workflow feel scattered.
What if the problem is not your intelligence or your discipline? What if the problem is your toolset? AI can do in minutes what used to take weeks, but only if you know how to use it properly. That is what ScholarShift Accelerator teaches.
What postgrads usually tell us first
- I know I should be moving faster but I keep getting stuck.
- I use ChatGPT, but I know I am leaving a lot on the table.
- I need ethical ways to use AI without risking my degree.
- I want a system that works for my specific research workflow.
You are drowning in papers, yet still not sure which sources matter most or how to connect them fast.
You are reading a lot, but the organisation system is weak, references get messy, and the workflow becomes hard to trust.
Your supervisor sends the draft back again. And again. The revisions are slowing down your confidence and your timeline.
What You Will Master
Everything you need to research smarter, not slower.
This is not a motivational talk about AI. It is hands-on training built around the real bottlenecks postgraduate students face every week.
01
AI Ethics in Academia
Use AI without getting flagged. Learn citation, transparency, and university-safe ways of working.
02
Prompt Engineering
Master the Four C's and CRAFT frameworks so your prompts produce precise, research-grade output.
03
Literature Reviews in Hours
Use SciSpace, LitMaps, NotebookLM, and Zotero to search, map, and synthesise sources faster.
04
Citation Management and Research Organisation
Use Zotero and better systems to organise your sources, notes, references, and reading workflow properly.
05
Academic Writing and Defence
Use AI feedback, better structure, and Canva-backed presentation support before submission and defence.
06
Custom Research Assistants
Build a personalised AI assistant for your exact workflow using AI Studio, Gems, and repeatable prompt systems.
The 4 Week Journey
Week by week. Step by step. Built for actual progress.
The program is structured to move you from scattered AI experimentation to a reliable postgraduate workflow you can keep using after the cohort ends.
Cohort Structure
One focused month to change how you do research.
Every week has a clear theme, practical exercises, and tools you can apply immediately to your own topic, paper, proposal, or thesis work.
- Live Monday to Thursday evening sessions via Google Meet
- Physical meetup on either Saturday or Sunday each week
- Recorded modules are available in case someone misses a session
- Side speakers can join here and there where useful
Week 1
Mon to Thu + workspace
AI Foundations
1
Introduction to AI and ethics of using AI in research
Mon
Start with the foundations of responsible AI use in academic work.
2
Prompt engineering, plagiarism, and AI detection
Tue
Learn how to prompt better while staying aware of plagiarism and detection concerns.
3
Best case practice of using LLMs
Wed
See how strong, practical use of large language models fits into serious postgraduate work.
4
Navigating different LLMs
Thu
Understand where ChatGPT, Claude, Gemini, and similar tools each fit best.
W
Physical weekend meetup
Sat
Meet physically on either Saturday or Sunday for application, discussion, and networking.
Week 2
Literature review acceleration
Research Tools
5
Applications of LLMs to the research workflow
Mon
See how AI fits into the stages of postgraduate research from early thinking to drafting.
6
Literature review and NotebookLM
Tue
Use NotebookLM to read across documents faster and think with your sources more clearly.
7
Google Scholar and Semantic Scholar
Wed
Find, compare, and shortlist papers using search tools every postgrad should know.
8
Literature review with SciSpace
Thu
Search faster, understand papers faster, and build a cleaner review process.
W
Physical weekend meetup
Sat
Apply what was covered during the week and ask deeper questions in person.
Week 3
Writing, presentations, defence
Finishing Strong
9
Literature review workspace
Mon
A practical application session to bring the review workflow together using the tools already covered.
10
Citation management with Zotero
Tue
Learn how to manage references properly instead of letting citations become a headache.
11
Zotero workspace
Wed
Put the citation system into action so the workflow feels practical, not theoretical.
12
Making presentations with Canva and Gamma
Thu
Turn your ideas into strong slides for proposals, presentations, and thesis defence support.
W
Physical weekend meetup
Sat
Hands-on workspace time to tighten the literature review and citation workflow.
Week 4
Final consolidation
Wrap-Up and Review
13
Canva workspace
Mon
Another practical build session so learners leave with a presentation workflow they can repeat.
14
A walkthrough of everything covered so far
Thu
Pull the full 4-week experience together, revisit the workflow, and leave with clarity on what to do next.
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Possible guest speakers
Bonus
Rodney may bring in side speakers here and there where extra perspective adds value to the cohort.
How It Works
Designed for busy postgraduate schedules.
You do not need to be in Nairobi full-time. You do need a system that respects your reality and still moves you forward.
Live Online Sessions
Monday to Thursday, 8:00 PM to 9:30 PM via Google Meet. Every session is recorded and stays available for one year.
Physical Workspaces
Weekend in-person application sessions at 124 Manyani East Road, Nairobi. Virtual support runs in parallel for participants outside Nairobi.
Recorded Modules
Every live session is recorded so participants who miss a session can catch up without falling behind the rest of the cohort.
Interactive Cohort Calendar
Know when the current and next cohort are running.
This calendar gives you a quick view of the current and next intake. If the next date has not yet been updated here, simply WhatsApp or call and we will confirm the next ScholarShift Accelerator start for you directly.
Next cohort begins soon
Next confirmed start date:
Current cohort
Next cohort
Weekend workspace
Video Testimonials
What our postgrad students say.
These video slots are here to show the real outcomes: how postgraduate students felt before joining, what changed during the cohort, and why they would recommend it after.
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Postgrad testimonial slot 01
Use this for a Masters student explaining how ScholarShift Accelerator reduced research confusion and saved time.
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Postgrad testimonial slot 02
Ideal for a PhD candidate speaking about ethics, structure, and using AI without compromising academic integrity.
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Postgrad testimonial slot 03
Perfect for a working professional doing a postgraduate degree part-time and needing evening-friendly support.
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Postgrad testimonial slot 04
Strong for a graduate or final-stage candidate speaking about structure, confidence, and finishing with more clarity.
Pricing and Payment
One cohort. One clear price. Flexible payment.
ScholarShift Accelerator is priced for decisive action, and installments are built in so serious postgrad students do not have to wait for perfect timing.
ScholarShift Accelerator
Flagship postgraduate cohort
KES 20,000
KES 10,000 upfront
KES 10,000 midway
- Duration 4 weeks
- Schedule Mon to Thu, 8:00 PM to 9:30 PM
- Weekend support Physical or virtual workspace
- Recordings Included for one year
M-PESA payment steps
For Kenyan learners, payment is kept as simple as possible. Pay, then WhatsApp your confirmation so onboarding can happen quickly.
- Open M-PESA on your phone.
- Select Lipa na M-PESA, then Pay Bill.
- Business Number: 329329
- Account Number: 0100447165400
- Amount: KES 20,000 or KES 10,000 for the first installment.
- Keep your confirmation code, then send it on WhatsApp.
Copy-ready payment details
PayBill 329329 | Account 0100447165400
What happens after payment
WhatsApp is the fastest next step. It is familiar, fast on mobile, and fits how most Kenyan learners actually coordinate their programs.
- Send your full name, university, and M-PESA code to 0114 469 840
- FuKazee confirms your slot and shares onboarding instructions
- You receive the timetable, Google Meet details, and session access plan
- Questions continue on WhatsApp before the cohort begins
FAQs
Questions serious postgrad students usually ask first.
These are the friction points we see most often before someone joins a cohort.
I already use ChatGPT. Is this still for me?
Yes. Using ChatGPT casually is only the beginning. ScholarShift Accelerator teaches research workflows, specialised tools, advanced prompting, ethics, and custom AI assistants that most postgraduate students have never set up properly.
I am not in Nairobi. Can I still join?
Yes. The programme is built to work fully online. Weekend workshops have a virtual parallel option for learners outside Nairobi or outside Kenya.
I work or have family commitments. Will I miss out?
Classes run in the evening from 8:00 PM to 9:30 PM. Every session is recorded, so you can catch up if work, research, or family commitments make you miss a live class.
Are these tools ethical and allowed by universities?
Yes. Academic integrity is a core part of the programme. Citation, transparency, journal guidelines, and responsible AI use are taught explicitly.
Is there personal support?
Yes. There is live Q&A in every session, recorded modules for missed sessions, and direct access to Rodney during the 4-week program.
Can I pay in installments?
Yes. Pay KES 10,000 upfront and KES 10,000 midway through the programme.
Is this only for academics?
The programme is designed around postgraduate research, but the AI and prompt-engineering skills you learn are transferable to consulting, strategy, policy, writing, and wider professional work.
Final Call
Your research is too important to be slowed by bad tools.
Join the next ScholarShift Accelerator cohort, learn the exact AI workflows postgrad students need, and move into your next chapter with more clarity, speed, and confidence.