WHO IT'S FOR
Developers and technical learners building, testing, and reviewing practical AI or automation systems.
MEMBERSHIPMembership / PKR 499 per monthdeveloper
AI Prediction Markets
Study public event-market data, verify source timelines, test forecast calibration, and build paper-only AI research workflows.
15
lessons
5
modules
14 hours
incl. practice
~4 wks
typical pace
Included with your monthly membership
Sign in with an active membership to read the lessons. Your account keeps your payment record and saved progress.
Before you start
Ye course tumse kya expect karta hai
PREREQUISITES
Comfort reading basic code and using a terminal. Check the listed tools; no specific paid subscription is assumed.
STUDY PLAN
About 4 weeks at three short sessions per week: learn, apply, then review. Practice and capstone time are included.
PAKISTAN CONTEXT
Projects favour low-cost tooling, careful data handling, and workflows resilient to local power and connectivity constraints.
TOOLSPolymarketPythonLLMs
Curriculum
5 modules · 15 lessons
Membership required for lesson access
1.1How Prediction Markets Price Information20 minpremium
1.2Polymarket Fundamentals: Markets, Shares, and Resolution20 minpremium
1.3Reading Order Books Without a Finance Background20 minpremium
Outcomes
Kya kar paoge
- Interpret event-market prices, order books, and resolution rules as timestamped fallible signals
- Build a versioned research desk that traces claims to independent primary evidence
- Constrain an LLM to source packets and verify every extracted fact, date, and contradiction
- Aggregate approved signals with offline Python, source-lineage controls, and calibration scoring
- Deliver a paper-only forecast workflow with abstention, error budgets, and no execution capability
Assessment: Complete the lesson exercises and capstone, then review the work for accuracy, safety, and fit. Completion is not an income or job guarantee.
Capstone
A read-only event research system with a preselected watchlist, source lineage, offline aggregation tests, frozen paper forecasts, calibration review, and technical proof that orders are impossible.
- Names the user, problem, scope, and acceptance test
- Identifies sources, permissions, and unknowns
- Includes the actual deliverable, not only screenshots
- Tests one normal and one failure case
- Records risks, limits, cost, and human review
- Explains what changed, what worked, and what comes next
HONEST STATUS
This course is included in platform membership. Access lasts until the expiry shown in your account; progress is retained when access expires.
Keep building