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***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.***

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.

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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.

What will students learn?


  • Learn best practices for using TensorFlow, a popular open-source machine learning framework

  • Build a basic neural network in TensorFlow

  • Train a neural network for a computer vision application

  • Understand how to use convolutions to improve your neural network

Skills Gained in this Course:

  • Computer Vision

  • Machine Learning

  • TensorFlow

Key Information About This Course:

  • Level: Beginner

  • 100% online: Start instantly and learn at the schedule

  • Flexible schedule and deadlines: Set and maintain flexible deadlines

  • Duration: Approx. 6 hours to complete, suggested 4 weeks of study, 4-5 hours/week.

  • Subtitles: English only


Global Skills Index


What is it?

The Coursera Global Skills Index benchmarks 60 countries and 10 industries across Business, Technology, and Data Science. It also reveals trending skills in those regions and industries.


Why did we create it?

The skills landscape is in transition and companies, countries, and individuals are grappling with a serious skills shortage and uncertainty on which skills they need to invest in to succeed in the changing economy. We hope that this report, and future reports, can help them create tailored talent strategies that enable a more competitive future—and let them know that Coursera can help them get there.