Understanding LLM’s: January 13th & 14th, 2025
2 – Half Days (9:00 a.m to 12:00 p.m PST) ENDING IN :
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Big Data on Amazon Web Services
Duration: 3 Days Code: BDT28 Category:This training is designed to provide a comprehensive understanding of Big Data solutions on Amazon Web Services (AWS). Over three days, participants will explore how AWS enables scalable and secure data processing, storage, and analytics. The training covers essential services such as Amazon S3, EMR, Redshift, and Kinesis, while emphasizing best practices in managing large datasets.
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Amazon Web Services (AWS)
Duration: 5 Days Code: BDT192 Category:Cloud computing is dominated by two major players: Amazon Web Services (AWS) and Azure.
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Core Infrastructure-Amazon Web Services
Duration: 1 Day Code: BDT116 Category:This instructor-led class provides an overview of the resources and services offered on Amazon Web Services (AWS).
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Business Transformation with Cloud Computing
Duration: 1 Day Code: BDT174 Category:What are cloud technology and data science, and what can they do for you and your business?
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Business Transformation with Google Cloud
Duration: 1 Day Code: BDT112 Category:In this course, you’ll learn about core Google Cloud business drivers, how to determine whether business transformation is right for your team, and how to build short- and long-term projects with the power of the cloud.
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Advanced to Snowflake
Duration: 2 Days Code: BDT111 Category:This course provides an in-depth look into the Snowflake architecture and partitioning. Participants will build and RBAC hierarchy, incorporate Snowflake into a disaster recovery plan, optimize Snowflake performance and create automated workflows.
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Introduction to Snowflake
Duration: 3 Days Code: BDT110 Category:This course provides an architecture overview of Snowflake, set-up security, best practices. Participants will configure and deploy a Snowflake cloud-based database.
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Getting Started with Google Kubernetes Engine
Duration: 1 Day Code: BDT102 Category:Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.
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Google Cloud Fundamentals for AWS Professionals
Duration: 1 Day Code: BDT100 Category:This course teaches AWS professionals about the core capabilities of Google Cloud in the four technology pillars
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Google Cloud Fundamentals for Azure Professionals
Duration: 1 Day Code: BDT99 Category:This course teaches Azure professionals about the core capabilities of Google Cloud in the four technology pillars