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Production Deployment
Deploy, monitor, and scale your AI agents in production. Learn deployment strategies, monitoring, and security best practices.
10 lessons•2.5 hours•Intermediate
Course Content
Lesson 1: Preparing for Production
video•15 min
Lesson 2: Environment Configuration
article•12 min
Lesson 3: Deploying to Vercel
tutorial•18 min
Lesson 4: Deploying to AWS
tutorial•25 min
Lesson 5: Docker Containerization
tutorial•20 min
Lesson 6: Setting Up Monitoring
article•18 min
Lesson 7: OpenTelemetry Integration
tutorial•15 min
Lesson 8: Cost Monitoring & Alerts
article•12 min
Lesson 9: Scaling Strategies
video•20 min
Lesson 10: Security Hardening
tutorial•15 min
What You'll Learn
- Configure production environments securely
- Deploy to Vercel, AWS, and Docker environments
- Set up comprehensive monitoring and alerting
- Implement cost tracking and budget controls
- Scale your application for high traffic
- Harden security for production workloads
Deployment Platforms
- • Vercel (recommended)
- • AWS Lambda / ECS
- • Google Cloud Run
- • Docker / Kubernetes
Monitoring Tools
- • OpenTelemetry
- • Datadog / New Relic
- • Sentry for errors
- • Custom dashboards
Prerequisites
Complete RANA Fundamentals and Building AI Agents before starting this module.