AI and Data Science Bootcamp
Four weeks, one real product. Start with a raw customer file. Finish with a deployed AI assistant that predicts churn, answers from its own knowledge base, and opens on any phone.
The fee and payment options are shared with you after you apply.
The tools you will use
The stack teams hire for. Pick one to see when it comes in.
scikit-learnWeek 2. Pipelines, three models and honest evaluation.
Week 3 also uses an LLM API with structured outputs, and Chroma for retrieval.
Two ways to take it
Same curriculum, same product at the end. Pick the format that fits your week.
Learn alongside a cohort
For students, graduates, working developers and freelancers who want structure and people to learn with, around a job or classes.
- Length
- 4 weeks, Tuesday to Monday
- Time
- 1.5 to 2 hours a day, plus about 3 at the weekend
- Live sessions
- 8 sessions at 9 PM PKT, recorded
- Marking
- Every task by 10 AM the next morning
- Mentor
- Shared across the cohort
- Seats
- Up to 60 per cohort
- Certificate
- Completion or Distinction
- Fee
- Shared after you apply
Four weeks, four layers of one product
One task a day, about two hours each, marked by your mentor by 10 AM the next morning. Pick a week to see every task.
“Take a raw file and defend every decision you made to it.”
- 1.1Environment and first lookPublic repo; a Colab notebook loads the customer file; no keys in code90 min
- 1.2Pandas beyond the basicsMulti-function group-bys that run top to bottom120 min
- 1.3Cleaning with a paper trailA cleaning script where every missing-value decision has a written reason120 min
- 1.4SQL that answers business questions8 DuckDB queries, including window functions and CTEs, each with its question120 min
- 1.5Exploratory analysis6 charts, each followed by two sentences of interpretation120 min
A week in the cohort
- TueTask + live training45 minutes at 9 PM
- WedTaskAbout 2 hours
- ThuTaskAbout 2 hours
- FriTaskAbout 2 hours
- SatTask + live Q&ADebugging and code review at 9 PM
- SunCatch upNo new task
- MonWeekly deliverableDue 11:59 PM, marked on a rubric
About 51 hours over four weeks, including the live sessions. Every session is recorded and posted within 12 hours.
Two certificate levels, both checkable online
Every task is marked out of 100 and passes at 40. Your certificate lists the level you reached and has its own record at web3geeks.co/verify.
Demo Day awards: Best Product, Best Engineering, Most Improved.
One-to-one finishes with a weekly average of 65 or above, all four Friday challenges and a Demo Day score of 70 or above.
How enrolment works
No payment to apply. You see the full fee before you commit to anything.
- 01ApplyFour short steps on this page, with your CV or LinkedIn. No payment.
- 02A person reads itIf it is approved, the fee for your format and the cohort dates arrive on WhatsApp and email.
- 03Pay to confirmBank transfer, JazzCash or Easypaisa. Paying confirms your seat.
- 04Set your trackA SkillMatch assessment of up to 60 minutes, within 3 days, sets your starting track and mentor. It cannot cost you your seat.
- 05You are inYour dashboard login, the welcome pack and the first task arrive before day 1.
Apply in about four minutes
Four short steps and your CV. A person reads every application. If it is approved, we send the fee, the dates and how to pay on WhatsApp and email.
Questions first? +92 300 6654927 on WhatsApp
Applications open soon
The next cohort's dates are being set. Message us on WhatsApp and we will tell you when applications open.
Questions
The fee depends on the format you choose. Once your application is approved we send it on WhatsApp and email, with the dates and how to pay (bank transfer, JazzCash or Easypaisa). Applying costs nothing and commits you to nothing.
A CV or a LinkedIn profile, so we can read your background and approve you quickly. An AI tool writes a short summary of it for our team; a person makes the decision.
No. Anyone can apply, including people new to Python. After you pay, the assessment sets your starting track, and the Reinforce track adds simpler tasks with checkpoints.
Every session is recorded and posted within 12 hours. Tasks are due at 11:59 PM, so you can work around a job or classes.
Any laptop with a modern browser. The notebooks run in Google Colab and the deployment uses free tiers.
After your final submission is marked, with its own record at web3geeks.co/verify.
Cancel at least 2 days before day 1 and we refund you in full. After that there are no refunds, but you can move to the next cohort once, free.