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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Data Engineering and Analytics on Microsoft Cloud – Azure
Duration: 1 Days Code: BDT32 Category:This training focuses on the powerful data engineering and analytics capabilities provided by Microsoft Azure. Participants will learn how to build robust data pipelines, process large datasets, and perform analytics using Azure services.
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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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Non-Techie Starter Series: Cloud
Duration: Half Day Code: BDT318 Category:This course is designed for non-technical professionals who want to gain a foundational understanding of Cloud Computing.
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Cloud for Non-Programmers
Duration: Half Day Code: BDT272 Category: Non ProgrammersThis course will guide you about cloud computing technology and describe its impact on IT scenario. In this course, you’ll learn about core Cloud business drivers,
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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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Cloud for Business Users
Duration: 1 Day Code: BDT173 Category:This course will guide you about cloud computing technology and describe its impact on IT scenario.
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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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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 Big Data and Machine Learning Fundamentals
Duration: 1 Day Code: BDT101 Category:This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud.
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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