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Learning Series | Generative AI Application Deployment and Monitoring

Om_Jha
Databricks Employee
Databricks Employee

Learn Application Deployment and Monitoring in 120 minutes

Take your generative AI expertise to the next level! This new course — the fourth in the Generative AI Engineering with Databricks series — will guide you through the full lifecycle of deploying, operationalizing, and monitoring generative AI applications using the Databricks Data Intelligence Platform.

What you’ll learn:

  • Deploy with confidence: Use Model Serving to launch generative AI apps quickly and reliably.
  • Production best practices: Apply proven patterns to operationalize AI at scale.
  • Monitor what matters: Track performance and model behavior with Lakehouse Monitoring.
  • End-to-end flow: Connect deployment through monitoring for smooth AI operations.

Course format update: This course uses a new PDF-based format with slides and notes for self-paced learning. Demo videos are still included for key topics. Share your feedback via the course survey and in the Community.

Enroll Now, to get started!

Earn your completion certificate and add it to your LinkedIn profile or resume.

Over to you our dynamic Community: How many Databricks badges or certifications have you earned so far, and which one are you most proud of? Let us know in the comments below.

1 REPLY 1

Louis_Frolio
Databricks Employee
Databricks Employee

@Om_Jha , 

Love seeing this next step in the Generative AI Engineering learning series land. The focus on deployment and monitoring is exactly where the rubber meets the road — moving from “it works” to “it works reliably in production.”

Really nice to see Model Serving and Lakehouse Monitoring brought together in a practical, hands-on way. This is the part of the GenAI journey where a lot of teams get stuck, so kudos to the team for addressing it head-on. Looking forward to diving in and earning the badge.

 

Cheers, Louis