Generative AI on GCP: Building Generative AI-powered Apps in GCP
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Create a generative AI app on GCP. Learn environment setup, model building with TensorFlow, training loop creation, dockerization of training script, and model deployment to API endpoint.
About this course
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.
Learning objectives
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)
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