Building AI-Powered Automation Systems with Codex
Master Codex to build a fully functional YouTube comment intelligence system. Learn to configure APIs, design interactive dashboards, build reusable skills, deploy with GitHub and Vercel, and implement automated browser QA workflows.
Course Overview
In this course, you will learn how to leverage Codex to build robust, automated AI systems. We will build a complete YouTube comment intelligence system from scratch, including data extraction, sentiment analysis, dashboard visualization, and automated testing.
What You'll Learn
- Codex Fundamentals: Understand how to set up and configure Codex for automated workflows.
- API Integrations: Connect to the YouTube API and ingest data seamlessly.
- Reusable AI Skills: Build custom, reusable skills to analyze comment insights and export them to Excel.
- Dashboard Deployment: Design and deploy a modern web dashboard using GitHub and Vercel.
- Browser Automation & QA: Use Browser Use and QA tools to test and monitor your system automatically.
Prerequisites
- Basic understanding of APIs and web development concepts.
- Familiarity with GitHub and deployment platforms like Vercel is helpful but not required.
- No prior AI engineering experience needed.
Tools & Technologies
- Codex
- YouTube API
- GitHub & Vercel
- Excel / Spreadsheet integrations
- Browser Use (Web automation agent)
Course Content
Introduction to Codex and System Architecture
Introduction to Codex and AI Orchestration
System Architecture and Project Blueprint
Setting Up Resources and Workspace Environment
API Setup and YouTube Integration
Connecting to the YouTube API
Using Plan Mode for API Setup
Building Reusable Skills and Excel Automation
Automating Comment Insights with Excel
Building Reusable Skills in Codex
Dashboard Design and Vercel Deployment
Designing an Interactive Dashboard with Codex
Continuous Deployment with GitHub and Vercel
Weekly Automation and Browser-Based QA
Setting Up Weekly Automations with Codex
Automated Browser-Based QA with Browser Use
This course includes
- 1h 0m on-demand video
- 11 lessons across 5 chapters
- 5 interactive quizzes
- Access on mobile and desktop
- Source playlist on YouTube
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