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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Generative AI for Business Leaders
Duration: 2 Days Code: BDT393 Category:This intensive, one-day course is designed to provide business leaders with an in-depth understanding of Generative AI and its transformative potential across various business functions. Through a combination of theory, real-world case studies, and hands-on learning, participants will gain the practical knowledge necessary to integrate Generative AI into their strategic decision-making, operations, customer engagement, and innovation efforts.
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Generative AI for Human Resource Professionals
Duration: 2 Days Code: BDT392 Category:This one-day training is designed to introduce Human Resource professionals to the transformative power of Generative AI in enhancing HR operations, improving talent management, streamlining recruitment, and fostering better employee engagement.
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Develop Mobile App using Android
Duration: 1 Day Code: BDT42 Category:This comprehensive training introduces participants to the fundamentals of Android app development and extends their knowledge to build more functional and interactive applications.
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Data Engineering and Analytics on GCP (Google Cloud Platform)
Duration: 1 Day Code: BDT34 Category:This training provides an in-depth introduction to data engineering and analytics on Google Cloud Platform (GCP). Participants will explore key GCP services such as BigQuery, Dataflow, and Cloud Storage while learning to build scalable data pipelines and analyze datasets effectively.
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Data Engineering and Analytics on AWS (Amazon Web Services)
Duration: 1 Day Code: BDT33 Category:This training provides a hands-on introduction to data engineering and analytics capabilities on AWS. Participants will learn how to build scalable data pipelines, process and analyze data, and use key AWS services such as AWS Glue, Redshift, and Athena.
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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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Introduction to Microsoft Cloud – Azure
Duration: 1 Day Code: BDT22 Category:This training provides an introduction to Microsoft Azure, a leading cloud platform. Participants will explore the fundamentals of cloud computing, Azure services, and how Azure supports businesses in achieving scalability, security, and innovation.
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Byte Sized Series: Microsoft Copilot
Duration: 90 min Code: BDT391 Category:Explore Microsoft Copilot, an AI-powered assistant designed to enhance productivity across tools like Word, Excel, PowerPoint, and Teams. This session highlights how Copilot can simplify daily tasks, automate repetitive work, and transform the way you collaborate.
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Byte Sized Series: GitHub Copilot
Duration: 90 min Code: BDT390 Category:Discover how GitHub Copilot, an AI-powered coding assistant, simplifies software development and enhances productivity. This session demystifies how Copilot helps developers write code faster and more efficiently, making it a must-know tool for tech enthusiasts and professionals alike.