Bringing ML & AI into Production with Databricks

The journey from training a simple model to creating a production machine learning pipeline is often seen as challenging. Typically, you have to overcome hurdles such as siloed data, inconsistent tooling and overly complex infrastructure.  The key to productionizing ML & AI is finding a solution that’s scalable, serverless and automated at every step. 

Learn how Databricks simplifies your journey by delivering a unified, data-centric environment that uses the same platform, tools and governance for machine learning that you already use for the rest of your data.

Join Databricks & Carahsoft on May 21st to delve into the process of bringing an LLM application to life using cutting-edge tools. Whether you’re an AI enthusiast eager to develop a state-of-the-art GenAI app or aiming to unlock next-gen innovation for your team or organization through GenAI use cases, this hands-on workshop promises to equip you with practical skills, knowledge and actionable insights.

During the training, you will learn how to:

• Build and deploy your first multi-stage GenAI Agent
• Leverage context retrieval from Databricks Vector Search and Unity Catalog, governed function calling
• Access foundation LLMs offered by Amazon Bedrock, OpenAI and Databricks
• Monitor and evaluate your LLM performance using LLM judges
• Understand the concept of governed GenAI Ops and how to deploy GenAI at scale