Generative AI on GCP: An Introduction

Google Cloud    |    Beginner
  • 15 videos | 1h 56m 33s
  • Includes Assessment
  • Earns a Badge
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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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • 1m 2s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 8m 40s
    After completing this video, you will be able to outline the fundamentals of generative artificial intelligence (AI) and its applications in the cloud. FREE ACCESS
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    3.  Google Cloud Platform (GCP) and Generative AI
    10m 10s
    Upon completion of this video, you will be able to provide an overview of the generative AI services provided by Google Cloud Platform (GCP). FREE ACCESS
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    4.  Advantages of Generative AI with GCP
    6m 34s
    After completing this video, you will be able to identify key advantages of using Google Cloud Platform generative AI for enterprise application development. FREE ACCESS
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    5.  Generative AI Challenges on GCP
    10m 6s
    Upon completion of this video, you will be able to identify the challenges associated with using Google Cloud Platform for generative AI. FREE ACCESS
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    6.  GCP Machine Learning
    7m 39s
    After completing this video, you will be able to outline GCP's powerful machine learning services, Vertex AI and AutoML, and how they can be leveraged for generative AI development. FREE ACCESS
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    7.  The Generative AI Life Cycle
    11m 51s
    Upon completion of this video, you will be able to provide an overview of the life cycle of developing and deploying generative AI models. FREE ACCESS
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    8.  Image Generation and Natural Language Processing (NLP)
    5m 50s
    After completing this video, you will be able to outline GCP's generative AI services for image generation and natural language processing (NLP). FREE ACCESS
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    9.  Generating Images with GCP
    6m 44s
    Find out how to generate images using the Google Cloud Platform. FREE ACCESS
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    10.  Working with Natural Language Processing in GCP
    8m 24s
    Learn how to work with natural language processing using the Google Cloud Platform. FREE ACCESS
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    11.  Best Practices for Developing Generative AI
    10m 48s
    After completing this video, you will be able to identify best practices for integrating and optimizing generative AI models. FREE ACCESS
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    12.  GCP Privacy, Security, and Compliance
    9m 27s
    Upon completion of this video, you will be able to outline privacy, security and compliance considerations when using the cloud and working with the Google Cloud Platform. FREE ACCESS
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    13.  Monitoring and Logging with GCP
    7m 34s
    After completing this video, you will be able to provide an overview of GCP's monitoring and logging tools. FREE ACCESS
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    14.  Generative AI Use Cases
    10m 56s
    Upon completion of this video, you will be able to outline popular uses and real-world use cases for generative AI. FREE ACCESS
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    15.  Course Summary
    49s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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