Final Exam: Generative AI on GCP

WHAT YOU WILL LEARN

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  Outline the fundamentals of generative artificial intelligence (ai) and its applications in the cloud
  

  provide an overview of the generative ai services provided by google cloud platform (gcp)
  

  identify key advantages of using google cloud platform generative ai for enterprise application development
  

  identify the challenges associated with using google cloud platform for generative ai
  

  outline gcp's powerful machine learning services, vertex ai and automl, and how they can be leveraged for generative ai development
  

  provide an overview of the life cycle of developing and deploying generative ai models
  

  outline gcps generative ai services for image generation and natural language processing (nlp)
  

  identify key features of vertex ai, including mlops, automl, custom training, and interfaces
  

  outline the fundamentals of vertex ai and its role in the machine learning (ml) life cycles
  

  deploy a basic model using vertex ai
  

  automate the end-to-end ml workflow using vertex ai
  

  identify advantages and benefits of using vertex ai for developing and deploying ml models
  

  provide an overview of generative ai support in vertex ai
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  describe generative ai models available in vertex ai
  

  provide an overview of features and capabilities of generative ai studio within vertex ai
  

  outline how to explore various models using model garden
  

  outline responsible ai in vertex ai with safety filters
  

  provide an overview of prompt design that results in desired outcomes from language models
  

  describe the process for training a generative ai model using generative ai studio
  

  demonstrate how to fine-tune a generative ai model using generative ai studio
  

  outline how to evaluate a generative ai model's performance using generative ai studio
  

  demonstrate how to deploy a gcp generative ai app to a website
  

  provide an overview for building a generative ai model
  

  demonstrate how to set up a google cloud environment required for training a generative adversarial network (gan)
  

  demonstrate how to train a generative ai model and show results