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Every enterprise today wants to accelerate innovation by building AI into their business. However, most companies struggle with preparing large datasets for analytics, managing the proliferation of ML frameworks, and moving models in development to production.

Databricks, founded by the original creators of Apache Spark™, provides a platform that unifies data engineering and data science, and is built to address all of the data transformation challenges and explore the capabilities that machine learning has to offer.

Sign up to the Databricks Bootcamp and learn how to use powerful open source technologies to simplify and scale your ML efforts. Designed especially for data teams, these complimentary workshops will demonstrate how to leverage Apache Spark™, the de facto data processing and analytics engine for data preparation, as it unifies data at massive scale across various sources.

Participants will also learn how to use ML frameworks (i.e. TensorFlow, XGBoost, Scikit-Learn, etc.) to train models based on different requirements, as well as how to use MLflow to track experiment runs between multiple users within a reproducible environment, and manage the deployment of models to production.

Complimentary to attend, seats will not last long. Register today and secure a place at the Databricks Bootcamp in a city near you.

Learning outcomes:

• Discover how unified analytics can bring data science and engineering together to accelerate your ML efforts.
• Learn how to build highly scalable and reliable pipelines for analytics.
• Deeper insight into Apache Spark and Databricks, including the latest updates with Delta Lake.
• Train a model against data and learn best practices for working with ML frameworks (i.e. - XGBoost, Scikit-Learn, etc.).
• Learn about MLflow to track experiments, share projects and deploy models in the cloud and on-prem.
• Hear real-world customer use-cases.
• Network and learn from your ML and Apache Spark peers.

Agenda at a glance:

08:30 - 09:00 - Check-in & light breakfast
09:15 - 09:30 - Welcome / Ice breaker
09:30 - 10:00 - Databricks Overview
10:00 - 10:30 - Voice of the customer Customer use-case
10:30 - 10:40 - Q&A
10:40 - 11:10 - Morning tea break
11:10 - 12:40 - Interactive Workshop: Reliable Data Engineering powered by Delta Lake
12:40 - 13:40 - Q&A and Networking lunch
13:40 - 15:10 - Interactive Workshop: Building & Scaling your ML models with Databricks & MLflow
15:10 - 15:45 - Q&A and Afternoon break
15:45 - 16:00 - Close

Who should attend:

Delivered as enablement sessions, they are designed to suite data team members in charge of the strategy and implementation of ML in their organisation, including:

• Data engineers
• Data scientists, data analysts
• Heads of Analytics/ BI

Spaces are strictly limited and will be available on a first-come, first-served basis. Sign up today to reserve your spot!

For enquiries, please email [email protected].