Google Cloud Machine Learning with TensorFlow
Course
Online
Description
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Type
Course
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Methodology
Online
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Start date
Different dates available
Train and predict your models using the Google Cloud ML EngineTensorFlow has become the first choice for deep learning tasks because of the way it facilitates building powerful and sophisticated neural networks. The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction.This course shows you how to use Google Cloud to train TensorFlow models and use them to predict results for multiple users. You will learn to efficiently train neural networks using large datasets and to serve your training models.With this video course, you will use the power of Google's Cloud Platform to train deep neural networks faster. This course supplies various examples of training in Google Cloud AI Platform. You will also learn to run predictions for your model using the cloud. You will explore topics such as cloud infrastructures, distributed training, serverless technologies, model serving, and more.By the end of the course, you will be expert at training and serving neural models, and beyond.The code files and related files are placed on GitHub at About the AuthorTobias Zwingmann is Senior Data Scientist at Deutsche Messe AG and possesses a high entrepreneurial bias. In his work, he utilizes small and big data to create value—for example, by turning analytical insights into better customer experience and higher customer engagement. He also supports the development of new data-driven businesses and prototypes new data products for his organization. He likes to learn from and meet open-minded people.
Facilities
Location
Start date
Start date
About this course
Get access to powerful computers with GPUs organized in clusters to optimize your performance
Train bigger models faster using the Google Cloud infrastructure
Explore machine types and learn how to configure clusters to solve problems
Train deep learning models using the Google Cloud AI Platform
Run classical machine learning algorithms with TensorFlow
Run your trained models to get predictions using the AI Platform API
Reviews
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 6 years
Subjects
- Network Training
- Project
- Workflow
- Network
- Networks
- Computing
- Credit
Course programme
- Explain the evolution of cloud computing
- Understand why Google Cloud Platform is so powerful
- Introduce some important key technologies on GCP
- Walk through the sign-up process of GCP
- Explain the concept of the free trial credit for GCP
- Verify the free trial credit for the account
- Set up a project on GCP
- Explain ways to interact with GCP (console, SDK, and cloud shell)
- Show console and cloud shell, using easy examples
- Look at the core building blocks of cloud infrastructure: Compute, Storage, and Network
- See Compute Engine with a set-up guide and tips for cost controlling
- Learn Cloud Storage concepts and tips for controlling storage costs. Provide link to further resources
- Give an high level overview of AI Platform and highlight relevant parts for this course
- Learn the concepts of AI Platform Notebooks running on top of GCE
- Introduce JupyterLab as an easy to use IDE for ML prototyping
- Walk through general interface of JupyterLab
- Show where resources for basic operations are located on the VM
- Show how to persist code by adding a remote git repository to the machin
- Explain the evolution of cloud computing
- Understand why Google Cloud Platform is so powerful
- Introduce some important key technologies on GCP
- Walk through the sign-up process of GCP
- Explain the concept of the free trial credit for GCP
- Verify the free trial credit for the account
- Set up a project on GCP
- Explain ways to interact with GCP (console, SDK, and cloud shell)
- Show console and cloud shell, using easy examples
- Look at the core building blocks of cloud infrastructure: Compute, Storage, and Network
- See Compute Engine with a set-up guide and tips for cost controlling
- Learn Cloud Storage concepts and tips for controlling storage costs. Provide link to further resources
- Give an high level overview of AI Platform and highlight relevant parts for this course
- Learn the concepts of AI Platform Notebooks running on top of GCE
- Introduce JupyterLab as an easy to use IDE for ML prototyping
- Walk through general interface of JupyterLab
- Show where resources for basic operations are located on the VM
- Show how to persist code by adding a remote git repository to the machin
- Explain the evolution of cloud computing
- Understand why Google Cloud Platform is so powerful
- Introduce some important key technologies on GCP
- Explain the evolution of cloud computing
- Understand why Google Cloud Platform is so powerful
- Introduce some important key technologies on GCP
- Explain the evolution of cloud computing
- Understand why Google Cloud Platform is so powerful
- Introduce some important key technologies on GCP
- Explain the evolution of cloud computing
- Understand why Google Cloud Platform is so powerful
- Introduce some important key technologies on GCP
- Explain the evolution of cloud computing
- Understand why Google Cloud Platform is so powerful
- Introduce some important key technologies on GCP
- Explain the evolution of cloud computing
- Understand why Google Cloud Platform is so powerful
- Introduce some important key technologies on GCP
- Walk through the sign-up process of GCP
- Explain the concept of the free trial credit for GCP
- Verify the free trial credit for the account
- Walk through the sign-up process of GCP
- Explain the concept of the free trial credit for GCP
- Verify the free trial credit for the account
- Walk through the sign-up process of GCP
- Explain the concept of the free trial credit for GCP
- Verify the free trial credit for the account
- Walk through the sign-up process of GCP
- Explain the concept of the free trial credit for GCP
- Verify the free trial credit for the account
- Walk through the sign-up process of GCP
- Explain the concept of the free trial credit for GCP
- Verify the free trial credit for the account
- Walk through the sign-up process of GCP
- Explain the concept of the free trial credit for GCP
- Verify the free trial credit for the account
- Set up a project on GCP
- Explain ways to interact with GCP (console, SDK, and cloud shell)
- Show console and cloud shell, using easy examples
- Set up a project on GCP
- Explain ways to interact with GCP (console, SDK, and cloud shell)
- Show console and cloud shell, using easy examples
- Set up a project on GCP
- Explain ways to interact with GCP (console, SDK, and cloud shell)
- Show console and cloud shell, using easy examples
- Set up a project on GCP
- Explain ways to interact with GCP (console, SDK, and cloud shell)
- Show console and cloud shell, using easy examples
- Set up a project on GCP
- Explain ways to interact with GCP (console, SDK, and cloud shell)
- Show console and cloud shell, using easy examples
- Set up a project on GCP
- Explain ways to interact with GCP (console, SDK, and cloud shell)
- Show console and cloud shell, using easy examples
- Look at the core building blocks of cloud infrastructure: Compute, Storage, and Network
- See Compute Engine with a set-up guide and tips for cost controlling
- Learn Cloud Storage concepts and tips for controlling storage costs. Provide link to further resources
- Look at the core building blocks of cloud infrastructure: Compute, Storage, and Network
- See Compute Engine with a set-up guide and tips for cost controlling
- Learn Cloud Storage concepts and tips for controlling storage costs. Provide link to further resources
- Look at the core building blocks of cloud infrastructure: Compute, Storage, and Network
- See Compute Engine with a set-up guide and tips for cost controlling
- Learn Cloud Storage concepts and tips for controlling storage costs. Provide link to further resources
- Look at the core building blocks of cloud infrastructure: Compute, Storage, and Network
- See Compute Engine with a set-up guide and tips for cost controlling
- Learn Cloud Storage concepts and tips for controlling storage costs. Provide link to further resources
- Look at the core building blocks of cloud infrastructure: Compute, Storage, and Network
- See Compute Engine with a set-up guide and tips for cost controlling
- Learn Cloud Storage concepts and tips for controlling storage costs. Provide link to further resources
- Look at the core building blocks of cloud infrastructure: Compute, Storage, and Network
- See Compute Engine with a set-up guide and tips for cost controlling
- Learn Cloud Storage concepts and tips for controlling storage costs VM
- Show how to persist code by adding a remote git repository to the machin
- Walk through general interface of JupyterLab
- Show where resources for basic operations are located on the VM
- Show how to persist code by adding a remote git repository to the machin
- Walk through general interface of JupyterLab
- Show where resources for basic operations are located on the VM
- Show how to persist code by adding a remote git repository to the machin
- Walk through general interface of JupyterLab
- Show where resources for basic operations are located on the VM
- Show how to persist code by adding a remote git repository to the machin
- Walk through general interface of JupyterLab
- Show where resources for basic operations are located on the VM
- Show how to persist code by adding a remote git repository to the machin
- Explain concept of TensorFlow (Graph computation)
- Lay out the high-level overview of the TF2 architecture
- Walk through components of architecture, highlight Estimator, and Keras API
Additional information
Google Cloud Machine Learning with TensorFlow
