Real-time AI Engineer Work
Real-time AI Engineer Work
| Module | Topics Covered | Duration |
|---|---|---|
| Week 13 – Advanced AI Systems | Multi-Agent Systems | 2 Weeks |
| Workflow Automation | ||
| n8n Automation Platform | ||
| CrewAI Concepts & Frameworks | ||
| Production AI Use Cases | ||
| Week 14 – Deployment & DevOps | Docker Containerization | |
| AWS EC2 Infrastructure | ||
| AWS ECS Deployment | ||
| CI/CD Pipeline Fundamentals | ||
| Monitoring & Performance Tracking | ||
| Logging & Debugging Practices | ||
| Production Deployment Strategies | ||
| Learn Production Deployment | Deploy AI Applications Like Real-World Engineering Teams | |
| Outcome | Production-Ready AI Application Deployment |