Lesson 1: Introduction

• About this course
• AI-Driven vs. AI Pipelines
• Project preview

Lesson 2: AI tools and Dagster skills

• Overview
• Create a new project (without the skill)
• What is an MCP server?
• The dg CLI
• CLI vs MCPs
• How a skill works
• Dagster Skills

Lesson 3: Project setup

• Overview
• Claude Code
• Codex
• Cursor
• GitHub Copilot

Lesson 4: Building with the Dagster skill

• Overview
• Create a new project (with the skill)
• Debugging
• Dagster features
• Reviewing agent output
• Debugging strategies
• Writing effective prompts

Lesson 5: Integrations, Components, and AI

• Overview
• Agents and Components
• Installing the dbt skill
• Adding dbt
• Modifying our project
• Additional components
• Skill chaining

Lesson 6: Code quality with dignified-python

• Overview
• Our patterns
• Cleaning up our code
• Dignified Python vs linters

Lesson 7: Managing AI sessions

• Overview
• What is context
• Session habits
• Common session failure patterns

Lesson 8: Complex tasks with plan mode and subagents

• Overview
• Plan mode
• How plan mode works
• Parallel execution in practice
• Subagents
• Working with an existing project
• How we evaluate our skills

Capstone