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From Prompts to Production: Self-Paced AI Coding Course

A self-paced course on AI coding workflows. Learn the system that takes engineering teams from ad-hoc prompting to production-grade AI-assisted development.

What You'll Learn

The same three-pillar curriculum from our live workshop, structured for individual engineers to work through at their own pace.

1

Context Persistence

Build CLAUDE.md files, rules files, and progressive disclosure patterns that make AI tools understand your codebase, conventions, and constraints.

2

Multi-Agent Orchestration

Decompose complex tasks across multiple AI agents. Learn spec-driven development, parallel execution with worktrees, and merge coordination.

3

CI/CD Integration

Add quality gates for AI-generated code: testing patterns, security scanning, code review workflows, and deployment guardrails.

Who This Is For

Individual Engineers

You use AI coding tools daily but know you're leaving productivity on the table. You want structured workflows, not just better prompts.

Team Leads Evaluating AI Adoption

You want to understand AI coding workflows before rolling them out to your team. Start here, then bring the live workshop to your organization.

How It Works

Video Lessons

Short, focused modules covering each pillar with real-world examples from production codebases.

Hands-On Exercises

Apply each pattern to your own codebase as you go. You finish the course with working workflows, not just knowledge.

Pattern Library Access

Get the same context files, templates, and code samples used in our live workshops.

Not sure where to start? Take the free AI Workflow Readiness Scorecard to see which pillar needs the most attention.

Join the Waitlist

Be the first to know when the course launches. No spam. Just one email when it's ready.