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 by mastering Trading APIs and LLMs for Equities. Learn how to architect, apply and operate deterministic, agentic, and hybrid trading platforms using Alpaca APIs, including order management, strategy execution, portfolio tracking, and risk management.
Module 01
Course Welcome and overview
Why Laravel over Colab Notebooks for Alpaca Trading APIs
Local Environment Setup; Laravel Herd, Antigravity, vscode, mysql
Is This just a Trading Bot?
Will you get Rich? π€·ββοΈ
Let's Review the Capstone Titan Algo App
Module 02
Foundations: What is Algorithmic Trading?
A Tour of the Titan UI Interface
Review Titan's initial codebase and utilizing Antigravity IDE
How to acquire & use the Alpaca APIs Keys
Integrating the Clock API, Update the Business logic & UI
Integrating the Account API and Building the UI Display
Integrating the Positions API and Building the UI Display
How to acquire & use the LLM APIs Keys (Gemini & ChatGPT)
Deliverable: Dashboard with Trading Account & Positions info
Module 03
Overview and Approach on orders
Review the Alpaca Orders APIs types and features
Get Orders: Retrieve a list of orders
Create Orders: Buy/Sell for all order types
Data architecture: orders schema design
Displaying Orders details on the UI
Delete Orders: Integrating the logic on trades, and risk management
Orders Errors: Implement a robust Error Handling system
Deliverable: Order Execution Module
Module 04
Overview and Approach on Trades
Data Architecture: trades and details schema design
Displaying trades & details on the UI
Trades Entries: Using Technicals, News or Manuals
Trade Orders: Buy & Sell Orders (Market, Limit, Stop loss)
Trade Status: Queued, Active, Closed
Trade Rules: Criteria for Profits, Loss or Stale
Trade Performance: Calculating Profits, Loss, Stale
Trades Exits: Using Technicals, or Mangement Rules
Deliverable: Manual Trading: Complete Implementation
Module 05
Overview of Technical Indicators & Price Data
Integrating the Technicals Data using TradingView APIs
Integrating the Technicals Data using AlphaVantage APIs
Storing and Retrieving the technicals and price data
Implementing an RSI, SMA and Stochastic, BBands & MACD Signals
Displaying our technical indicators on the UI
Scheduling & Jobs orchestration for technicals updates
Deliverable: Automated Deterministic Trade Executions
Module 06
Oveview of Deterministic Trading
Example Algorithm: Trend Pullback RSI (TPR)
Algorithm: Rules For Entering the Trade
Algorithm: Handling an In-Progress Trade
Algorithm: Deciding when to Exit the Trade
Laravel Scheduling & Jobs orchestration
Deliverable: Automated Deterministic Trade Executions
Module 07
Overview: Can you actually use LLMs in Trading?
The Signal Layer: Establishing the Math
Context Engineering I: Data Aggregation & Snapshotting
Context Engineering II: Prompt Architecture & JSON Strictness
The Decision Layer: Parsing & Verdict Logic
The Orchestration Layer: Jobs & Queues (Laravel)
Execution & Risk Management: The Non-Negotiables
Deliverable: Pure Agentic Trading System
Module 08
Hybrid Strategy: Deterministic Signals + LLM Validation
Human-in-the-Loop: Presenting Recommendations
LLM Pro/Con Analysis & Risk Assessment
Building a Laravel UI for Trade Approval
Logging Human Decisions and Feedback
Deliverable: Hybrid Trading System
Module 09
Module 10
Journaling in Trading Psychology and leveraging AI to make it easier
Logging Trades, Emotions, and Rationale
LLM Lesson: Analyzing Journal Entries for Psychological Biases
LLM-Driven Feedback Loop for Strategy Refinement
Deliverable: AI-Powered Trading Journal
Module 11
Module 12
This MBA-level program is practical, rigorous, and outcome-driven. Youβll move from theory to deploying production-ready trading systems powered by LLMs, market data, and cloud infrastructure.
01
Deep dive into Alpaca APIs for equities to handle complex order management and portfolio tracking.
02
Build agentic, hybrid, and deterministic trading platforms designed for autonomous strategy execution.
03
Master the use of LLMs to enhance risk management and decision-making within your trading architecture.
From mastering prompt engineering and AI workflow integration to building and deploying production-ready AI applications β 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 β 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 β and without the 100K in student loan debt. π
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.