Companies are struggling to realize returns with their data insights and put AI and ML projects into production. As such companies are looking for people with the practical skills to bring value to their AI projects and operationalize their data insights and ML models while leveraging products that can help accomplish this at scale, at ease and at low cost.

In this session you will learn:
- The key challenges with MLOps
- How to operationalize ML projects
- How to deploy ML models in a repeatable, scalable process
- Monitoring model performance
- Keeping the models up and running and scaling for the future.