Carahsoft, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.

Government Events and Resources

Events

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HashiCorp

Hands-on Workshop: Getting Started with IBM Terraform


Event Date: November 20, 2025
Hosted By: HashiCorp & Carahsoft

Ready to stop manually configuring cloud infrastructure?

Attendees at this instructor-led workshop provided in-depth foundational knowledge of Terraform.

Attendees learned the basics of using Terraform, the benefits of Infrastructure as Code (IaC) using Terraform and reinforced best practices through lecture and Hands-on workshop content.

  • Public Sector Use Cases: Participants experienced how Government teams are using Terraform
  • Hands-On Learning: They followed along as HashiCorp guided them through Terraform workflows and initial usage 
  • Security Best Practices: They learned how to integrate security and policy enforcement directly into their workflows

Watch the recording of our virtual training to gain a fundamental skillset crucial for IT modernization.


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Resources


Harnessing Artificial Intelligence and Data for Education
Resources

Harnessing Artificial Intelligence and Data for Education

The higher education sector harnesses Artificial Intelligence (AI) to enhance accessibility and personalization. Predictive insights driven by data facilitate improvements in areas such as student retention, learning progress tracking, and student group segmentation. Quantiphi provides tailored solutions across segments like higher education, e-learning, and education administration. Key offerings include Student 360, gathering student data for analysis and machine learning models, QDox for Intelligent Document Processing automating data extraction from student documents, and an AI-powered Contact Center addressing student queries 24/7. An illustrative customer story involves Quantiphi's use of deep learning to build knowledge-tracing models, elevating student learning outcomes through personalized content recommendations based on factors like learning ability and exercise difficulty.


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