triAI Cohort 10 · FAQ
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❓ Frequently Asked Questions

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Common questions from Cohort 10 participants. Can't find what you're looking for? Email us at cohorts@tri-ai.org.

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📅 Sessions & Schedule
Do I need to complete Week 1 lectures before the first class?
Yes — you should complete the self-paced materials before the Saturday lecture, and the labs before the Wednesday lab session. Week 1 just started today, so there is still time.
Are lectures on both Wednesday and Saturday? Is the content the same?
No — they cover different content. Lectures are on Saturdays (11am–1pm WAT) and cover the week's core concepts. Coding labs are on Wednesdays (7–9pm WAT) and are hands-on practice sessions.
Is Wednesday lab attendance mandatory?
Wednesday labs are strongly encouraged but are not part of the certificate requirements. If you miss a lab session, you will need to work through it on your own.
Will sessions be recorded?
Yes. All sessions are livestreamed and recorded on YouTube: youtube.com/@AISaturdaysLagos
When is the next Zoom meeting and where do I find the link?
Lectures are every Saturday starting June 6, labs every Wednesday from Week 2. There are separate Zoom links for Saturday lectures and Wednesday labs — both were sent to your registered email after you completed onboarding registration.
How do I add sessions to my calendar?
Use this link to subscribe to the programme calendar: Add to Google Calendar
Where do I find the attendance form?
The attendance form opens every Saturday and closes the following Friday. Link: attendance form. Note: attendance does not open until Saturday June 6 — the first lecture day.
What if someone fills in the attendance form without actually attending?
The programme expects all participants to report their attendance honestly. The form is based on trust — misreporting affects your team and the integrity of the cohort.
📚 Course Materials & Labs
Where do I find the course materials?
On the cohort website: aisaturdayslagos.github.io/cohort_structure/cohort10. Each week's lessons and labs are linked directly from the curriculum section.
How do I access the labs?
Labs are hosted on Google Cloud Skills Boost. You are encouraged to go through them before the Wednesday lab sessions. Labs are run on Google Colab: colab.research.google.com
Can I use a notebook environment other than Google Colab?
Yes, you can use other notebook environments. Google Colab is recommended because it requires no setup and runs in your browser for free.
Can we complete the programme faster than 16 weeks since all materials are available?
Yes, you can self-pace through the materials. However, the team can only answer questions and provide support relevant to the current week's content.
Are Courses 5–8 covered after Courses 1–4?
Yes. Courses 1–4 are covered in Cohort 10 (16 weeks). Courses 5–8 will be covered in Cohort 11.
Do I need any special hardware like a GPU?
No special hardware is needed. Everything runs on Google Colab and Google Cloud Skills Boost — a regular laptop or desktop with internet access is all you need.
Can I see projects from previous cohorts?
Yes — previous cohort projects are on GitHub: github.com/AISaturdaysLagos
☁ Google Cloud Skills Boost
I haven't received my Google Cloud Skills Boost invitation. What should I do?
First make sure you have created an account at skills.google, then follow the onboarding instructions: onboarding page. If the problem persists, email cohorts@tri-ai.org.
Google Cloud keeps asking for credit card information. Do I need to pay?
No. You do not need to enter a credit card or pay for anything. Follow the course exactly as we've outlined it — the cohort pathway on Skills Boost is completely free. If you are being prompted for payment, email cohorts@tri-ai.org for help.
📚 Prerequisites & Background
What background knowledge do I need for this cohort?
See the prerequisites section of the onboarding page: onboarding.html#prerequisites. Basic Python, linear algebra, and probability are recommended.
I'm a complete beginner with no technical background. Can I keep up?
Yes, if you are willing to put in the work. Start with the refresher courses linked in the onboarding email — Python, Linear Algebra, and Probability. They will help you follow along from day one.
I don't know Python. What should I do?
Take the Python refresher course linked in the onboarding email, or go directly to the prerequisites section: onboarding.html#prerequisites.
🏅 Certificate & Projects
What certificate do we receive?
A certificate of completion from TRI AI Saturdays. To qualify you need at least 60% lecture attendance, complete the SLM challenge lab, submit all four cohort challenges as a team, and participate in the final capstone project.
Will I be automatically eligible for Cohort 11 after finishing?
Yes — if you complete Cohort 10 and receive a certificate of completion, you will be eligible for Cohort 11, which covers Courses 5–8.
Why is the full programme split across two cohorts?
The curriculum is very detailed — Courses 1–4 alone take 16 weeks to cover thoroughly. Splitting across two cohorts ensures you build a genuine understanding of each topic rather than rushing through it.
How will teams be formed for the project?
Groups will be assigned in Week 2 and you will be notified by email. Projects are group-based and start in Week 5.
Can we choose our own project topic?
There will be several topics to choose from. You won't have completely free choice, but you will have options. More details will be shared in Week 2.
Are there internship opportunities after graduation?
There are no direct internship placements through the programme. However, the knowledge and projects you build here will strengthen your portfolio and help you in your future job search.
Will we be supported by Google DeepMind experts?
Google DeepMind experts designed and developed the curriculum. During the cohort, you are supported by our facilitators and instructors who will guide you through the material.
💬 Community & Communication
How do I join the Discord?
How do I join the mailing list?
Is there a WhatsApp group?
No. The only official community channels are Discord and the Google Groups mailing list. Please use those for all questions and discussions.
🛍 Other
Do we need to pay for anything?
No. The entire programme is free for accepted participants — including the course materials on Google Cloud Skills Boost.
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