Machine Learning on Google Cloud, Short Course | Part time online | Coursera | United States
2 months
Duration
Free
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Tuition fee
Anytime
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About

With this Machine Learning on Google Cloud Specialization offered by Coursera in partnership with Google Cloud, you learn machine learning with Google Cloud. Real-world experimentation with end-to-end ML

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Overview

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 Machine Learning on Google Cloud Specialization offered by Coursera in partnership with Google Cloud 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.

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.

Programme Structure

Courses include:

  • How Google does Machine Learning

  • Launching into Machine Learning

  • TensorFlow on Google Cloud

  • Feature Engineering

  • Machine Learning in the Enterprise

Key information

Duration

  • Part-time
    • 2 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Intermediate Level

  • It would be helpful to review topics covered in the Google ML Crash Course, and for Python programming review the Google Python Class.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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