Learn the essentials of serving, deploying, and monitoring AI models in production. Transition your models from local notebooks to robust, scalable cloud APIs.
Register now to attend the upcoming live interactive Bootcamp.
Building a model is only half the battle. This intensive 3-hour bootcamp is specifically designed for ML engineers, DevOps practitioners, and backend developers who need to bridge the gap between data science and production reliability. You will dive deep into model serving patterns, lightweight FastAPI development, containerization, and the essential CI/CD workflows required to keep AI services operational and scalable.
By the end of this session, you will have a fully functional deployed model endpoint, a professional CI/CD checklist for MLOps, and integrated monitoring hooks to ensure production reliability.
A structured pathway from model environment setup to production-grade deployment.
Environment setup followed by an exploration of synchronous vs asynchronous serving patterns and building your first model API.
Mastering Dockerfile best practices for ML models and publishing images to secure registries for deployment readiness.
Implementing automated builds, testing strategies for AI, and deployment pipelines to ensure reproducible model versioning.
Integrating logging, health checks, and rollback strategies followed by a live lab to serve and deploy a model.
Stay ahead of the curve by mastering the skills companies are hiring for today.
Robust serving and scaling to meet strict production SLAs and high-concurrency user demands.
Automated pipelines for reproducible deployments, ensuring model versioning matches software releases.
Observability and monitoring to detect performance drift and ensure regulatory compliance.
"The most practical 3 hours I've spent all year. The FastAPI and Docker integration examples are exactly what we needed at my startup."
"Finally, a bootcamp that focuses on the 'Ops' part of ML. The CI/CD patterns for models were a game changer for our deployment pipeline."
"Excellent pacing. The hands-on lab helped me understand how to turn a pickle file into a production-ready API in minutes."
LIVE SESSION
LIVE SESSION
LIVE SESSION
Pantech Bootcamps
