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Codecademy

Generative AI on GCP: An Introduction

via Codecademy

Overview

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Generative artificial intelligence (AI) has taken the world by storm. Chatbots, photo creation, document writing, and other practical applications are everywhere, and they're gaining in popularity and sophistication. Google Cloud Platform (GCP) has a broad range of powerful generative AI tools that can be used to leverage the power of modern artificial intelligence. In this course, you'll be introduced to generative AI, beginning with GCP and its generative AI offerings. You will discover the advantages and disadvantages of generative AI and features of GCP machine learning (ML). Then you'll learn about the generative AI life cycle, image generation, natural language processing (NLP), and best practices for developing generative AI. Finally, you'll explore GCP privacy, security, and compliance considerations, monitoring and logging with GCP, and some real-world generative AI use cases.

Syllabus

  • discover the key concepts covered in this course
  • 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 GCP's generative AI services for image generation and natural language processing (NLP)
  • generate images using the Google Cloud Platform
  • work with natural language processing using the Google Cloud Platform
  • identify best practices for integrating and optimizing generative AI models
  • outline privacy, security and compliance considerations when using the cloud and working with the Google Cloud Platform
  • provide an overview of GCP's monitoring and logging tools
  • outline popular uses and real-world use cases for generative AI
  • summarize the key concepts covered in this course

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