Learn BMAD
Master the Breakthrough Method for Agile AI Development. Learn structured workflows, prompt engineering patterns, and quality assurance frameworks designed specifically for AI-powered projects.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
What is BMAD? Learn why traditional Agile needs adaptation for AI projects and discover the BMAD lifecycle.
2. Core Principles
AI-first design, iterative prompt engineering, continuous evaluation, human-in-the-loop, and fail-fast experimentation.
3. Development Workflow
The four BMAD phases: Blueprint, Model, Actualize, Deploy. Sprint structure and ceremonies for AI teams.
4. Prompt Patterns
Chain of Thought, Tree of Thought, ReAct, Self-Consistency. Prompt versioning, A/B testing, and anti-patterns.
5. Quality Assurance
AI QA framework, testing outputs, evaluation metrics, regression testing, bias detection, and safety testing.
6. Best Practices
Team structure, estimating AI work, managing uncertainty, documentation standards, scaling, and cost management.
What You'll Learn
By the end of this course, you'll be able to:
Lead AI Projects
Apply the BMAD methodology to plan, execute, and deliver AI-powered applications with confidence.
Engineer Prompts
Use proven prompt patterns like Chain of Thought and ReAct to build reliable AI features.
Ensure AI Quality
Implement testing frameworks, evaluation metrics, and monitoring strategies for AI systems.
Build AI Teams
Structure teams, define roles, and adopt ceremonies that work for the unique challenges of AI development.
Go Deeper With Expert Courses
Recommended learning resources from our partners. Affiliate disclosure.
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