Infrastructure & Deploy
Deploy AI applications at scale. Master cloud infrastructure, edge computing, and modern deployment strategies for production systems.
What You'll Master
Cloud Deployment
Deploy applications across multiple cloud providers. Build scalable, globally distributed systems with high availability.
- AWS, Google Cloud, and Azure deployment
- Docker containerization
- Kubernetes orchestration
- Serverless architectures
- Infrastructure as Code (Terraform)
Edge Computing
Deploy applications closer to users for optimal performance. Leverage global edge networks for low-latency experiences.
- Cloudflare Workers and Pages
- Vercel Edge Functions
- CDN optimization
- Global load balancing
- Geo-distributed deployments
Auto-Scaling
Build systems that automatically scale based on demand. Optimize resource usage and costs while maintaining performance.
- Horizontal pod autoscaling
- Load-based scaling policies
- Predictive scaling
- Database connection pooling
- Cost optimization strategies
Environment Management
Manage multiple environments from development to production. Implement CI/CD pipelines and automated deployment workflows.
- GitHub Actions CI/CD
- Blue-green deployments
- Canary releases
- Environment variables management
- Rollback strategies
Tools & Technologies
What You'll Build
Global SaaS Platform
Deploy a multi-region SaaS application with automatic scaling and global distribution.
- • Multi-region deployment
- • Auto-scaling infrastructure
- • Global CDN integration
- • Zero-downtime deployments
Real-time AI Application
Build and deploy a real-time AI application with edge computing for minimal latency.
- • Edge function deployment
- • WebSocket connections
- • Real-time data processing
- • Global edge network
Enterprise CI/CD Pipeline
Create a complete CI/CD pipeline with automated testing, staging, and production deployments.
- • Automated testing suite
- • Multi-environment deployment
- • Rollback mechanisms
- • Deployment monitoring
Your Learning Journey
Cloud Basics (Week 1-2)
Start with cloud fundamentals. Deploy your first application. Learn about virtual machines, containers, and serverless. Set up CI/CD pipelines.
Container Orchestration (Week 3-4)
Master Docker and Kubernetes. Build containerized applications. Deploy to production clusters. Implement service meshes and monitoring.
Edge & Scaling (Week 5-6)
Deploy to edge networks. Implement auto-scaling. Optimize for global distribution. Build high-availability systems with automatic failover.
Production Systems (Week 7-8)
Manage production environments. Implement blue-green deployments. Set up disaster recovery. Monitor and optimize infrastructure costs.
Ready to Deploy at Scale?
Learn to build and deploy production systems that serve millions of users.