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Coursera - Machine Learning on Google Cloud Specialization [FCO]

About

Learn machine learning with Google Cloud. Real-world experimentation with end-to-end ML

What you'll learn

- Use Vertex AI AutoML and BigQuery ML to build, train, and deploy ML models

- Implement machine learning models using Keras and TensorFlow 2.x

- Implement machine learning in the enterprise best practices

- Describe how to perform exploratory data analysis and improve data quality

Specialization - 5 course series

What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code?   When should you use automated machine learning or custom training?  

This course teaches you how to build Vertex AI AutoML models without writing a single line of code; build BigQuery ML models knowing basic SQL; create Vertex AI custom training jobs you deploy using containers (with little knowledge of Docker); use Feature Store for data management and governance; use feature engineering for model improvement; determine the appropriate data preprocessing options for your use case; use Vertex Vizier hyperparameter tuning to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems, write distributed ML models that scale in TensorFlow; and leverage best practices to implement machine learning on Google Cloud.

> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <

Applied Learning Project

This specialization incorporates hands-on labs using our Qwiklabs platform.

These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

1. How Google does Machine Learning
2. Launching into Machine Learning
3. TensorFlow on Google Cloud
4. Feature Engineering
5. Machine Learning in the Enterprise

Skills you will gain

- Vertex AI
- Machine Learning
- Feature Engineering
- Tensorflow
- Cloud Computing

Instructor(s)

The Google Cloud Training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an effective and impactful way. Google Cloud helps millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

Offered by Google Cloud

General Info:

Author(s): Google Cloud Training
Language: English
Updated: 9/2023
Videos Duration: 65h
Course Source: https://www.coursera.org/specializations/machine-learning-tensorflow-gcp