TensorFlow on Google Cloud from Coursera

What's inside

Syllabus

Introduction to the Course

This module provides an overview of the course and its objectives.

Introduction to the TensorFlow Ecosystem

This module introduces the TensorFlow framework and previews its main components as well as the overall API hierarchy.

Design and Build an Input Data Pipeline

Data is the a crucial component of a machine learning model. Collecting the right data is not enough. You also need to make sure you put the right processes in place to clean, analyze and transform the data, as needed, so that the model can take the most signal of it as possible. In this module we discuss training on large datasets with tf.data, working with in-memory files, and how to get the data ready for training. Then we discuss embeddings, and end with an overview of scaling data with tf.keras preprocessing layers.

Building Neural Networks with the TensorFlow and Keras API

In this module, we discuss activation functions and how they are needed to allow deep neural networks to capture nonlinearities of the data. We then provide an overview of Deep Neural Networks using the Keras Sequential and Functional APIs. Next we describe model subclassing, which offers greater flexibility in model building. The module ends with a lesson on regularization.

Training at Scale with Vertex AI

In this module, we describe how to train TensorFlow models at scale using Vertex AI.

Summary

This module is a summary of the TensorFlow on Google Cloud course.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Deepens knowledge and skills in machine learning techniques and tools

Suitable for learners with an understanding of machine learning fundamentals

Offers hands-on labs and interactive materials for practical learning

Provides a strong foundation in TensorFlow and Keras for implementing ML models

Taught by Google Cloud Training, with expertise in machine learning and TensorFlow

Reviews summary

Tensorflow for beginners with hands-on cloud

Learners say that this course is a beginner-friendly introduction to TensorFlow, with engaging assignments. Students will learn how to use TensorFlow to build and deploy machine learning models using Google Cloud Platform (GCP). The course includes theoretical explanations, hands-on labs, and challenging exercises to help learners understand the concepts. Some learners found the content to be difficult to understand and the labs to be outdated, however overall, learners found the course to be valuable and informative.

This course is suitable for beginners who are new to TensorFlow and machine learning.

"This course is a beginner-friendly introduction to TensorFlow."

"The course includes theoretical explanations, hands-on labs, and challenging exercises to help learners understand the concepts."

Learners will gain practical experience through hands-on labs and assignments.

"The course includes theoretical explanations, hands-on labs, and challenging exercises to help learners understand the concepts."

Some learners found the content to be difficult to understand.

"Some learners found the content to be difficult to understand and the labs to be outdated."

Some learners reported that the labs were outdated and did not work as expected.

"Some learners found the content to be difficult to understand and the labs to be outdated."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in TensorFlow on Google Cloud with these activities:

Write a Blog Post on Your TensorFlow Project

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Solidify your understanding of TensorFlow by documenting your learning and insights through a blog post that showcases your project.

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Choose a project you've built using TensorFlow
Write about the problem you solved, the approach you took, and the results you obtained
Share your code and any resources you used
Publish your blog post on a platform like Medium or DEV.to

Show all one activities

Career center

Learners who complete TensorFlow on Google Cloud will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers build, deploy, and maintain machine learning models, working closely with data scientists and software engineers. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Machine Learning Engineers develop the skills they need to design and build scalable machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use machine learning to solve business problems. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Data Scientists develop the skills they need to design and build scalable machine learning models for real-world applications.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software systems. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Software Engineers develop the skills they need to integrate machine learning into their software applications.

See salaries and explore the career path for Software Engineer

Solutions Architect

Solutions Architects design and implement cloud-based solutions. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework, and how to use it on Google Cloud Platform. This course will help Solutions Architects develop the skills they need to design and implement scalable machine learning solutions for their customers.

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Product Manager

Product Managers develop and manage software products. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Product Managers understand how machine learning can be used to improve their products.

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Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make better decisions. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Data Analysts develop the skills they need to use machine learning to analyze data and solve business problems.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts help businesses identify and solve problems. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Business Analysts develop the skills they need to use machine learning to solve business problems.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Quantitative Analysts develop the skills they need to use machine learning to analyze financial data and make investment decisions.

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Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve business problems. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Operations Research Analysts develop the skills they need to use machine learning to solve business problems.

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Statistician

Statisticians collect, analyze, and interpret data to help businesses make better decisions. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Statisticians develop the skills they need to use machine learning to analyze data and solve business problems.

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Machine Learning Researcher

Machine Learning Researchers develop new machine learning algorithms and techniques. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Machine Learning Researchers develop the skills they need to use TensorFlow to conduct research and develop new machine learning algorithms.

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Computer Scientist

Computer Scientists design and develop computer systems. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Computer Scientists develop the skills they need to use TensorFlow to develop machine learning applications.

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Software Developer

Software Developers design, develop, and maintain software applications. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Software Developers develop the skills they need to use TensorFlow to develop machine learning applications.

See salaries and explore the career path for Software Developer

Web Developer

Web Developers design and develop websites. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Web Developers develop the skills they need to use TensorFlow to develop machine learning applications for the web.

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Data Engineer

Data Engineers build and maintain data pipelines. TensorFlow on Google Cloud provides a comprehensive overview of TensorFlow, the leading open-source machine learning framework. This course will help Data Engineers develop the skills they need to use TensorFlow to build and maintain data pipelines for machine learning applications.

See salaries and explore the career path for Data Engineer