Generative AI on GCP: Building Generative AI-powered Apps in GCP
Google Cloud
| Intermediate
- 12 videos | 1h 16m 42s
- Includes Assessment
- Earns a Badge
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
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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
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53sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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8m 3sAfter 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 Environment4m 30sFind 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 Data11m 54sIn 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 Generator8m 21sDuring this video, discover how to build a GAN architecture using Keras and TensorFlow. FREE ACCESS
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6. Designing and Building Discriminator3m 28sLearn how to design and build discriminator. FREE ACCESS
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7. Building a Training Loop8m 5sIn 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 Loop7m 42sDiscover how to run a training loop. FREE ACCESS
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9. Dockerizing the Training Script7m 30sDuring 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 AI5m 17sFind out how to run a Docker container on Vertex AI. FREE ACCESS
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11. Deploying a Finished Model to an API Endpoint10m 17sIn this video, discover how to deploy a model to an application programming interface (API) endpoint. FREE ACCESS
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12. Course Summary43sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
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