Generative AI on GCP: Building Generative AI-powered Apps in GCP

Google Cloud    |    Intermediate
  • 12 videos | 1h 16m 42s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Google Cloud Platform (GCP) has a wide range of powerful generative artificial intelligence (AI) services that can leverage the power of modern AI. Using these services, developers can build powerful applications with GCP, and with the proper use of various technologies, developers new to GCP can gain the knowledge and skills necessary to develop and deploy cutting-edge generative AI applications. In this course, you will create a generative AI-powered app in GCP, beginning with planning and building a generative AI model, GCP environment setup, and Python environment creation. Then you will learn how to build and train a generator and a discriminator with TensorFlow. Next, you will build and run a training loop, and dockerize the training script. Finally, you will deploy your finished model to an application programming interface (API) endpoint and test that model.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Provide an overview for building a generative ai model
    Set up a python environment required for training a generative adversarial network (gan)
    Load training data into a python environment
    Build a gan architecture using keras and tensorflow
    Design and build discriminator
  • Upload and deploy a generative ai model to a google cloud platform (gcp) bucket
    Run a training loop
    Dockerize a training image for google cloud
    Run a docker container on vertex ai
    Deploy a model to an application programming interface (api) endpoint
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 53s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 8m 3s
    After completing this video, you will be able to provide an overview for building a generative AI model. FREE ACCESS
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    3.  Setting up a Python Environment
    4m 30s
    Find out how to set up a Python environment required for training a generative adversarial network (GAN). FREE ACCESS
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    4.  Loading Training Data
    11m 54s
    In this video, you will learn how to load training data into a Python environment. FREE ACCESS
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    5.  Designing and Building a Generator
    8m 21s
    During this video, discover how to build a GAN architecture using Keras and TensorFlow. FREE ACCESS
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    6.  Designing and Building Discriminator
    3m 28s
    Learn how to design and build discriminator. FREE ACCESS
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    7.  Building a Training Loop
    8m 5s
    In this video, find out how to upload and deploy a generative AI model to a Google Cloud Platform (GCP) bucket. FREE ACCESS
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    8.  Running a Training Loop
    7m 42s
    Discover how to run a training loop. FREE ACCESS
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    9.  Dockerizing the Training Script
    7m 30s
    During this video, you will learn how to dockerize a training image for Google Cloud. FREE ACCESS
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    10.  Running a Docker Container on Vertex AI
    5m 17s
    Find out how to run a Docker container on Vertex AI. FREE ACCESS
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    11.  Deploying a Finished Model to an API Endpoint
    10m 17s
    In this video, discover how to deploy a model to an application programming interface (API) endpoint. FREE ACCESS
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    12.  Course Summary
    43s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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