Mastering ML/MLOps and AI-powered Data Applications in the Snowflake Data Cloud

This 2-day training is dedicated to data engineers, data scientists, or a tech enthusiasts. This workshop will provide hands-on experience and real-world insights into architecting data applications on the Snowflake Data Cloud.

Join us for a comprehensive two-day workshop designed to empower you with the skills and knowledge needed to harness the full potential of Snowflake Data Cloud for building machine learning (ML), Machine Learning Operations (MLOps), Artificial Intelligence (AI) and Generative AI (GenAI)-powered applications. Whether you're a data engineer, data scientist, or a tech enthusiast, this workshop will provide hands-on experience and real-world insights into architecting data applications on the Snowflake Data Cloud.

Training outcome

Architect and deploy ML pipelines using Snowflake Data Cloud.
Utilize the Kedro MLOps framework and integrate it seamlessly with Snowflake and Snowpark ML.
Effectively use MLflow as a model registry and gain insights into GenAI, specifically the Retrieval Augmented Generation(RAG) architecture.

Course agenda^*

Day 1

Introduction and General ML Use Cases:
- Introduction to Snowflake Data Cloud and its capabilities.
- Setting up a Snowflake environment for machine learning.
- Building and running ML pipelines with Snowpark ML.
- Kedro MLOps framework and its integration with Snowflake Data Cloud.
Generative AI Topics:
- Overview of Generative AI and its significance in data applications.
- Case study: RAG architecture with Snowflake Data Cloud
- Hands-on workshop on building GenAI applications with Snowflake Native App Framework.
- Real-world use cases and best practices for AI-powered data applications in Snowflake Data Cloud.

^* GetInData reserves the right to make any changes and adjustments to the presented agenda.

Klaudia Wachnio

klaudia@getindata.com

off

Testimonials

Completed in half the estimated time and with a fivefold improvement on data collection goals, the robust product has exponentially increased processing capabilities. GetInData’s in-depth engagement, reliability, and broad industry knowledge enabled seamless project execution and implementation.

Wojciech Ptak

CTO

GetInData had been supporting us in building production Big Data infrastructure and implementing real-time applications that process large streams of data. In light of our successful cooperation with GetInData, their unique experience and the quality of work delivered, we recommend the company as a Big Data vendor.

Miłosz Balus

CTO

GetInData delivered a robust mechanism that met our requirements. Their involvement allowed us to add a feature to our product, despite not having the required developer capacity in-house.

Stephan Ewen

CTO

Their consistent communication and responsiveness enabled GetInData to drive the project forward. They possess comprehensive knowledge of the relevant technologies and have an intuitive understanding of business needs and requirements. Customers can expect a partner that is open to feedback.

Wilson Yu Cao

Development Team Manager

We sincerely recommend GetInData as a Big Data training provider! The trainer is a very experienced practitioner and he gave us a lot of tips regarding production deployments, possible issues as well as good practices that are invaluable for a Hadoop administrator.

Mariusz Popko

Platform Manager

The engineers and administrators at GetInData are world-class experts. They have proven experience in many open-source technologies such as Hadoop, Spark, Kafka and Flink for implementing batch and real-time pipelines.

Kostas Tzoumas

CEO

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