Hi! I'm Paul, Founder of RuggedX, an AI-first company based in Atlanta and the builder and Instructor at CoursesX.
At RuggedX, I've built scalable, API-centric platforms spanning Trading Algorithms , Personal intelligence systems, agentic Orchestration , and generative content engines . My work integrates AI, ML, LLMs, and real-time data with cloud-native DevOps pipelines.
Additionally, I'm a Technical Account Manager at Google with a focus on AI & ML and a reasonable caffeine appreciation. Beyond building, I share practical AI insights on Instagram, YouTube, and Medium.
This masterclass is a deep dive into building algorithmic trading systems for event-driven binary contracts. Learn how to architect, apply, and operate deterministic, agentic, and hybrid trading platforms using Kalshi APIs. You will master event-based logic, probability-based decision engines, and real-time integration of outcome oracles to drive automated trading for prediction markets.
Module 01
Course Welcome and overview
Why Laravel over Colab Notebooks for Kalshi Prediction Market APIs
Local Environment Setup; Laravel Herd, Antigravity, vscode, mysql
Is This just a Trading Bot?
Will you get Rich? 🧐
Let's Review the Capstone Runes-Light Sports Prediction Algo App
Module 02
Foundations: What is Prediction Market Algorithmic Trading?
A Tour of the Titan Sports Prediction UI Interface
Review Titan's Initial Codebase and Utilizing Antigravity IDE
How to Acquire & Use the Kalshi API Keys
Integrating Kalshi API Connectivity & Fetching Exchange Status
Integrating the Kalshi Account Balance API & Building the UI Display
Integrating Kalshi Portfolio & Positions API & Building the UI Display
How to acquire & use the LLM APIs Keys (Gemini & ChatGPT)
Deliverable: Live Kalshi Account Dashboard & Open Positions Tracker
Module 03
Overview of Kalshi's Hierarchical Structure: Series, Events, and Markets
Data Architecture: Designing Schemas for Parent-Child Event & Markets
Understanding Market Choice Types: Binary vs. Categorical
Handling Scalar and Ranged Markets: Strikes, Floors, and Cap Structures
Polling and Syncing Live Sports Events:
Deliverable: Building the Series-Event-Market Navigation & Directory UI
Module 04
Orders Index: Build a Laravel UI to Display a List of Kalshi Orders
Review the Alpaca Orders APIs types and features
Get Orders: Retrieve a list of orders
Create Orders: Placements of YES/NO Contracts (Buy/Sell, Limit vs Market)
Data Architecture: Kalshi Orders and Contracts Schema Design
Displaying Kalshi Order Details on the UI
Cancel Orders: Integrating Order Logic and Risk Management
Kalshi Order Errors: Handling Insufficient Funds, Slippage, etc.
Deliverable: Robust Kalshi Order Execution Module
Module 05
Overview of the Trade Lifecycle in Prediction Markets
Data Architecture: Prediction Trades and Contract Fills Schema
Displaying Prediction Trades & Contract Statuses on the UI
Trade Entries: Executing YES/NO Contracts Based on Edge
Trade Orders: Limit vs Market Placements in Binary Options
Trade Status: Pending, Live, Closed, Settled
Trade Rules: Take Profit & Stop Loss Rules in Cents-per-Contract
Trade Performance: Calculating PnL on Settled Contracts
Trade Exits: Exiting Positions Early vs. Riding to Settlement
Deliverable: Manual Prediction Market Trading Console
Module 06
Introduction to Prediction Market Data: Bids, Asks, and Mid-Market Prices
Fetching Real-Time Orderbooks and Ticker Streams from Kalshi API
Calculating Implied Probability and Price Velocity Signals
Tracking Liquidity: Analyzing Open Interest & Volume on YES/NO Contracts
Designing the MySQL Schema for Historical Contract Candlesticks
Displaying Orderbook Depth and Price Charts on the Laravel UI
Scheduling Orderbook Polling Jobs & Real-Time Listeners
Deliverable: Building the Real-Time Market Data Engine
Module 07
Overview of Deterministic Rules in Prediction Markets
Example Sports Algorithm: Implied Probability Momentum (IPM)
Algorithm Logic: Rules For Entering YES/NO Contracts
Algorithm Logic: Managing In-Progress Sports Trades in Real-Time
Algorithm Logic: Exit Rules (Hedging, Expiration Settlement)
Laravel Scheduler & Job Queue for Automated Rule Triggers
Deliverable: The Fully Automated Rule-Based Sports Algo
Module 08
Leveraging LLMs for Prediction Markets: Information Arbitrage & Judgment
The Signal Layer: Converting Real-Time Sports Context to Probabilities
Context Engineering I: Injecting Injury Reports, Weather, and Live Team Stats
Context Engineering II: Designing Structured Prompts & JSON Response Enforcement
The Decision Layer: Parsing AI Verdicts
AI Orchestration: Managing API Rate Limits & Queued Jobs in Laravel
Execution and Risk Safeguards: LLM Hallucination Mitigations
Deliverable: An Operational Agentic Sports Trading System
Module 09
The Hybrid Strategy: Machine Precision meets AI Intuition
Human-in-the-Loop: Designing the UI for High-Value Trades
AI-Driven Pro/Con Trade Breakdown and Risk Assessment
Building a Modern Laravel Livewire UI for One-Click Trade Approval
Logging Human Intervention & Feedback Loops to Refine the Model
Deliverable: A HITL Hybrid Sports Trading Console
Module 10
Risk Management in Prediction Markets: Principles of Capital Preservation
Implementing the Kelly Criterion & Position Sizing Algorithms
Hedging Strategies: Trading YES and NO Contracts on the Same Event
Expiration & Settlement Management: Preventing Capital Lockups
Deliverable: Automated Risk Guardrails and Balance Protectors
Module 11
Journaling in Prediction Markets and Leveraging AI to Track Edge
Logging Market Beliefs, Sports Sentiment, and Rationale
LLM Lesson: Spotting Gambler's Fallacy and Recency Bias in Predictions
LLM-Driven Feedback Loop for Sports Prediction Refinement
Deliverable: AI-Powered Prediction Journal
Module 12
Module 13
This MBA-level program is practical, rigorous, and outcome-driven. You'll move from theory to deploying production-ready prediction systems powered by LLMs, event data, and cloud infrastructure.
01
Deep dive into Kalshi APIs for event-driven markets to handle complex order management and portfolio tracking.
02
Build agentic, hybrid, and deterministic prediction platforms designed for autonomous event-driven strategy execution.
03
Master the use of LLMs to enhance probability estimation and decision-making within your prediction architecture.
From mastering prompt engineering and AI workflow integration to building and deploying production-ready AI applications — each course moves you from foundational understanding to professional execution.
01
Understand LLMs, Prompt Engineering, and AI Workflow Integration for Enhanced Productivity.
02
Master Conversational AI, Strategic Prompting, and applying LLMs to Intelligent applications
03
Move From Basic Prompts To Structured Dialogues Unlocking Ideas, Analysis, Results
04
Learn Strategic Prompting Patterns For Analysis, Scenario Planning, And Creation
05
Master Multimodal Prompting For Creative, Analytical, And Applied Outcomes
06
Develop, Deploy, and Scale Production-Ready AI Apps with Laravel & Firebase.
Master the intersection of AI, LLMs, agents, and modern software engineering for the markets and for the boardroom.
01
Master the Intersection of Financial Markets, AI, LLMs, Agents & Algorithms to Build Production-ready Apps
02
Master the Intersection of Business Strategy, AI, and Modern Software Development.
03
Master the Intersection of Product Management, AI, LLMs, Agents, and deploy production-ready systems.
Five market-specific masterclasses covering equities, prediction, options, crypto, and forex — built on the same Alpaca / Kalshi / Oanda APIs you already ship with.
Featured
Build algorithmic trading systems for equities with Alpaca APIs.
Master prediction markets using Kalshi APIs with AI, LLMs, and agents.
Master complex options algorithmic trading with Alpaca APIs.
Build high-frequency crypto algorithmic systems with Alpaca APIs.
Automate forex trading using the Oanda API with AI insights.
Courses is an AI-powered learning platform designed for learners, professionals, developers, and traders. Whether you're a beginner exploring AI, a developer building platforms, or a trader optimizing strategies, Courses helps you learn, build, and apply skills that matter.
Yes. Courses offers expertly designed courses, including beginners, intermediate, and advanced. You can start from scratch or advance your existing skills with structured learning paths in LLMs, prompt engineering, AI agents, and financial market automation.
Courses follows a simple flow: pick a course from the catalog, complete the checkout process, and start learning. Learn in short modules, build projects (apps, dashboards, trading tools, prompt packs), and apply & scale what you build into real workflows with lifetime access.
Courses is built by Paul Kamau, the Founder of RuggedX, and also works at Google blending engineering expertise with real trading knowledge. Every course produces a tangible artifact like a working app, repo, prompt pack, or dashboard that you can showcase or use immediately. It's ROI-driven, focusing on time saved, better decisions, and market-ready tools.
We got you. Send us an email at [email protected]
We do not offer a money-back guarantee at this time.
Absolutely. After making a purchase we will automatically email you a receipt. If you need a more detailed invoice, just email us.
While we strive to offer fair pricing for all learners, we do provide special team pricing for organizations looking to enroll multiple members. Please contact us for more details on team discounts.
No, this is not an accredited academic program. We're focused on fast, practical, real-world skills for learners rather than degrees or badges — and without the 100K in student loan debt. 🙃
Production-grade algo engines running across equities, options, forex, crypto, and prediction markets. Each built end-to-end on a single trading stack.
Institutional-grade equity automation for momentum, liquidity, and disciplined execution.
Options intelligence on contract quality, IV alignment, and defined-risk entries.
Forex execution tuned for session shifts, spread behavior, and changing volatility regimes.
24/7 crypto automation with adaptive volatility handling and cross-venue intelligence.
Event-driven systems for Kalshi markets, centered on pricing shifts and time-sensitive execution.
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CoursesX and certain product names used herein are trademarks or registered trademarks of Rugged I/O LLC and/or one of its subsidiaries or affiliates in United States. See Trademarks or appropriate markings.
