What You'll Build:
- Your first AI agent in 10 minutes with tools and function calling
- Production-ready customer service system with safety guardrails
- Multi-agent research teams that work together autonomously- Containerized deployments ready for AWS,
Google Cloud, or Azure
- Monitoring dashboards that track performance, costs, and errors
- Enterprise-grade security with authentication and rate limiting
Why This Book Works:
Unlike theoretical guides, every concept includes immediately runnable code. The 2-hour express path gets
you deployed fast, while comprehensive chapters let you master advanced patterns like agent orchestration,
streaming responses, and production observability.
Perfect For:
- Python developers adding AI capabilities to existing applications
- Startup teams needing production agents without months of R&D
- Enterprise developers building scalable AI systems
- Anyone wanting to understand how modern AI agents really work
Bonus Materials: Complete Docker configurations, Kubernetes deployment files, CI/CD pipelines, and
production monitoring setups. Everything needed to scale from prototype to enterprise.
Note: code samples can be found at GitHub under jkmaina/openai-agents-blueprint