AI Deployment & Production

Course Overview

Bridge the gap between development and production with this essential course on AI deployment and MLOps. Learn industry best practices for deploying machine learning models at scale, monitoring performance, implementing CI/CD pipelines, and maintaining production AI systems. Master cloud platforms, containerization, orchestration, and automation tools used by leading tech companies worldwide.

What You'll Learn

• MLOps principles and best practices
• Model serving with TensorFlow Serving and TorchServe
• Containerization with Docker and Kubernetes
• Cloud deployment on AWS, Google Cloud, and Azure
• CI/CD pipelines for machine learning
• Model monitoring and performance tracking
• A/B testing and model versioning
• Scaling AI applications for production traffic
• Security and compliance in AI systems

Course Details

• 48 hours of content
• 175+ video lectures
• 28 coding exercises
• 6 deployment projects
• Certificate of completion
• Lifetime access