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.
Generative AI on GCP: Building Generative AI-powered Apps in GCP
via Codecademy
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Syllabus
- 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