Optimizing Infrastructure: Specialized Workloads in Terraform

Terraform 1.1    |    Intermediate
  • 12 videos | 1h 9m 14s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 2 users Rating 4.5 of 2 users (2)
Specialized workloads in Terraform cater to unique infrastructure needs, offering tailored solutions for diverse environments. By accommodating specialized requirements, Terraform enables organizations to efficiently provision and maintain infrastructure that meets the demands of their unique workloads. In this course, learn how Terraform can be used for GPU-accelerated computing, CI/CD for AI/ML, and monitoring and scaling infrastructures. Next, explore advanced security practices for AI infrastructure, how to implement GPU-accelerated computing, and how to automate AWS AI/ML workflows. Finally, discover how to monitor infrastructure, scale AI infrastructure, and execute AI infrastructure advanced security with Terraform. After completing this course, you will be able to outline how Terraform can be used with specialized workloads.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Identify the role of terraform in gpu-accelerated computing
    Outline continuous integration/continuous delivery (ci/cd) for ai/ml with terraform
    Recognize how to use terraform to monitor infrastructure
    Describe how to scale ai infrastructure using terraform
    Identify advanced security practices for ai infrastructure with terraform
  • Implement terraform for gpu-accelerated computing
    Execute ci/cd for ai/ml workloads with terraform
    Implement monitoring infrastructure with terraform
    Scale ai infrastructure with terraform
    Implement advanced security practices for ai infrastructure with terraform
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 12s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 57s
    After completing this video, you will be able to identify the role of Terraform in GPU-accelerated computing. FREE ACCESS
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    3.  CI/CD for AI/ML with Terraform
    7m 4s
    Upon completion of this video, you will be able to outline continuous integration/continuous delivery (CI/CD) for AI/ML with Terraform. FREE ACCESS
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    4.  Monitoring Infrastructure with Terraform
    6m 47s
    Through this video, you will be able to recognize how to use Terraform to monitor infrastructure. FREE ACCESS
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    5.  Scaling AI Infrastructure with Terraform
    7m 47s
    In this video, we will describe how to scale AI infrastructure using Terraform. FREE ACCESS
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    6.  AI Infrastructure Advanced Security Practices
    7m 14s
    After completing this video, you will be able to identify advanced security practices for AI infrastructure with Terraform. FREE ACCESS
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    7.  Implementing GPU-Accelerated Computing with Terraform
    6m 17s
    Discover how to implement Terraform for GPU-accelerated computing. FREE ACCESS
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    8.  Executing AI/ML Workflows with Terraform
    5m 37s
    In this video, find out how to execute CI/CD for AI/ML workloads with Terraform. FREE ACCESS
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    9.  Implementing Monitoring Infrastructure with Terraform
    7m 11s
    Learn how to implement monitoring infrastructure with Terraform. FREE ACCESS
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    10.  Scaling AI Infrastructure with Terraform
    5m 49s
    During this video, discover how to scale AI infrastructure with Terraform. FREE ACCESS
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    11.  Executing AI Infrastructure Advanced Security with Terraform
    6m 40s
    Find out how to implement advanced security practices for AI infrastructure with Terraform. FREE ACCESS
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    12.  Course Summary
    40s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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