AI Automation & Deployment

Bridge the gap between ML development and production deployment with this hands-on course focused on MLOps and AI automation. Learn industry best practices for deploying, monitoring, and scaling machine learning models in real-world environments. Master the tools and techniques used by leading tech companies to operationalize AI.

What You'll Learn:

• ML model deployment strategies
• Containerization with Docker
• Orchestration with Kubernetes
• CI/CD pipelines for ML projects
• Model monitoring and versioning
• API development with Flask and FastAPI
• Cloud deployment (AWS, Azure, GCP)
• Automated retraining workflows
• Performance optimization and scaling

Course Details:

• Duration: 9 weeks
• 48+ video lectures
• 16 hands-on projects
• Lifetime access
• Professional certificate