Final Exam: IT Automation with Generative AI

WHAT YOU WILL LEARN

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  Describe generative ai fundamentals and concepts, including how they can be applied on azure
  

  identify generative ai tools and libraries on azure and how they can be enabled to create and experiment with generative models
  

  integrate generative ai tools and libraries into azure-based workflows and applications
  

  identify generative ai techniques and how to apply them effectively using azure
  

  create, deploy, and manage generative ai models on azure, taking advantage of cloud resources for scalability and reliability
  

  diagnose and resolve issues related to generative ai models on azure cloud, ensuring reliable and smooth operation
  

  describe advanced generative ai techniques such as gans, vaes, and autoregressive models
  

  identify sre principles and practices that are used to ensure the reliability and availability of software systems
  

  describe generative ai and sre advancements with a focus on how azure based technologies can adapt and innovate in the space
  

  plan, deploy, and manage advanced generative ai solutions on azure improving sre workflows
  

  optimize and fine-tune advanced generative ai models effectively on azure, leveraging resources and tools for enhanced model performance and efficiency
  

  integrate generative ai models with existing sre tools on azure, enhancing incident management and monitoring processes
  

  describe ethical considerations and biases in ai, with a focus on their impact on responsible ai model development
  

  identify real-world implications of biased ai models, addressing their ethical and social consequences
  

  develop a responsible ai models, ensuring transparency, accountability, and ethical behavior
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  analyze ai models through an ethical lens, identifying potential biases and ethical concerns
  

  identify strategies to develop ai models that adhere to ethical standards, promoting fairness and ethical behavior
  

  identify the goals associated with each ai principle identified in the responsible ai standard
  

  identify the integration points of ai automation with it operations
  

  design ai automation workflows to enhance it operations efficiency
  

  describe how to use ai tools to automate it tasks and processes effectively
  

  showcase the integration of ai tools in it operations for effective automation
  

  discuss how to stay informed about the latest trends and advancements in ai automation in it operations
  

  develop strategies for continuous improvement in ai automation in it operations
  

  discuss ai-powered scripts for tasks like server monitoring and log analysis
  

  discuss ai-powered solutions for enhanced it support and sre operations
  

  describe how ai-powered scripts for improved performance and reliability in it tasks
  

  analyze the effectiveness of ai-powered scripts in solving it problems
  

  evaluate the impact of ai-powered solutions on it support and sre operations
  

  compare strategies for continuous improvement and learning in ai-powered it solutions