Before May 31
Complete these steps
1
Create a Google Cloud Skills Boost account
After you create your account, we will email you an invitation to join the cohort pathway.
2
Accept the Skills Boost cohort invitation
Check your email for the invitation link after completing Step 1. You must accept it to access the curriculum.
Check the Getting Started Guide
here → for detailed instructions with screenshots.
If you do not see your invitation within 24 hours, check your spam folder or email
cohorts@tri-ai.org.
3
Join the Cohort 10 Discord
Our main community space for announcements, help, and discussions throughout the cohort.
Join Discord →
4
Join the Cohort 10 mailing list
Weekly recaps, session reminders, and important updates are sent here. Do not miss this.
Join mailing list →
5
Register for Zoom — all sessions are online
Register for both · You will receive the Zoom link by email after each registration
6
Bookmark the weekly attendance form
After each Saturday session, fill in the short check-in form to record your attendance and share feedback. It takes 2 minutes and counts toward your certificate.
Open attendance form →
7
Complete prerequisite refreshers if needed
Review the preparation resources below — Python, linear algebra, and probability. A solid foundation will help you get much more from every session.
Jump to prerequisites →
Every week · Starting june 6
Weekly attendance check-in
After each Saturday session, take 2 minutes to confirm your attendance and share quick feedback.
Attendance is tracked weekly and counts toward your certificate — you need at least 60% to qualify.
1
Open the check-in form
The form opens each Saturday and closes Friday midnight each week. You will also receive a reminder email every Saturday morning with a direct link.
2
Enter your registered email
We verify your email against the enrolled student list. Use the same email you registered with.
3
Select how you participated and rate the session
Choose: attended live, watched the recording, or missed. Rate the session and share what was most useful — feedback goes directly to instructors to improve future sessions.
Weekly check-in form
Opens Saturday · Closes Friday midnight
Check in now →
⚠
Missed a session? Still fill in the form and select “Could not attend” — this tells us you are still engaged and we will share the recording link with you. Two or more consecutive absences without any response will trigger a personal check-in from our team.
Programme · May 31 – Sep 19, 2026
Your weekly schedule
Every Wednesday · From Week 2
Lab Session
7:00pm – 9:00pm WAT
Hands-on walkthroughs of notebooks and coding exercises. A great time to work through problems and get help from the instructor.
📹 Register for lab Zoom →
Every Saturday · Starting june 6
Live Lecture
11:00am – 1:00pm WAT
Core teaching sessions covering the week's concepts, delivered by an instructor. Interactive — come ready to engage and ask questions.
📹 Register for lecture Zoom →
Throughout the cohort you will also have
📧 Weekly recap emails every Sunday
💬 Community discussions
🧠 Trivia & engagement activities
🧑🏫 Mentor support for projects
📅 Full week-by-week schedule
See every session, topic, and instructor for all 16 weeks on the cohort programme page.
View full schedule →
Curriculum
What you will learn
Course 1
Foundations of Language Modeling
How language models work, the role of probability, the difference between n-grams and transformers, and how to train your first Small Language Model (SLM).
Weeks 1 – 3
Course 2
Text Data: Tokenization & Embeddings
How machines read and represent text — data preprocessing, tokenization strategies including Byte Pair Encoding (BPE), word embeddings, and ethical dataset design.
Weeks 4 – 6
Course 3
Neural Networks & Training
The multilayer perceptron, backpropagation, gradient descent, hyperparameter tuning, and how to train and evaluate neural networks in practice using Keras.
Weeks 8 – 10
Course 4
Transformer Architecture
The attention mechanism, masked and multi-head attention, positional embeddings, layer normalization, and how the full transformer model is built and trained.
Weeks 11 – 14
Week 16
Demo Day — September 19, 2026
Each team presents their Small Language Model project to the community — covering their problem, dataset, model, and ethical considerations. Top teams receive prizes.
More details on the project will be shared in the coming weeks
Completion
Certificate requirements
Prepare ahead
Prerequisite resources
You do not need to be an expert — but a solid foundation in Python, basic mathematics, and probability will help you get much more from every session. If any of these feel unfamiliar, we strongly recommend working through the resources below before May 31.