Learn job-ready skills for in-demand jobs with top Google Training and Certificates. Online or onsite, instructor-led live Google training courses demonstrate through interactive hands-on practice offering flexible, professional-level training.

Google training courses are available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Google trainings in the US can be carried out locally on customer premises or in NobleProg corporate training centers.

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Testimonials

★★★★★

- Going into the account together to look for pain points and optimizations - Getting the checklist and other ressources

Elyssa Van Landeghem, NOE NATURE SA

Course: Google AdWords: Beginner to Advanced

Google Course Outlines

Course Name

Duration

Overview

Course Name

Duration

Overview

Google BigQuery

28 hours

This instructor-led, live training in the US (online or onsite) is aimed at advanced-level data analysts who wish to learn how to use Google BigQuery for data querying, optimization, and machine learning integration. By the end of this training, participants will be able to:

Understand the fundamentals of Google BigQuery and its use for data analytics and cloud computing.
Use Google BigQuery for data management and complex SQL queries.
Implement query optimization strategies to improve performance.
Integrate BigQuery with other Google Cloud services.

Google Kubernetes Engine (GKE)

14 hours

In this instructor-led, live training in the US, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud. By the end of this training, participants will be able to:

Configure and manage Kubernetes on Google Cloud.
Deploy, manage and scale a Kubernetes cluster.
Deploy containerized (Docker) applications on Google Cloud.
Migrate an existing Kubernetes environment from on-premise to Google Cloud.
Integrate Kubernetes with third-party continuous integration (CI) software.
Ensure high availability and disaster recovery in Kubernetes.

Google Apps Script: Beginner to Advanced

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at web developers who wish to use Google Apps Script to develop in a G Suite environment. By the end of this training, participants will be able to:

Develop web applications with Google Apps Script.
Build add-ons to extend Google products, such as Gmail.
Perform system administration tasks.
Connect to a data source from a Google product.

Introduction to Google Analytics

7 hours

This instructor-led, live training in the US (online or onsite) is aimed at data analysts who wish to use Google Analytics to track and report website data. By the end of this training, participants will be able to:

Set up Google Analytics to collect website data.
Create and analyze reports.
Gain insights and make data-driven decisions.

Google AdWords: Beginner to Advanced

7 hours

This instructor-led, live training in the US (online or onsite) is aimed at marketeers who wish to use Google AdWords to launch marketing campaigns. By the end of this training, participants will be able to:

Run a Google AdWords campaign that captures high-quality leads.
Create a Google AdWords campaign to increase sales.
Implement a bid strategy to profit on advertisement expenses.
Improve existing marketing campaigns with Google AdWords.

Google Maps API for Developers

14 hours

This instructor-led, live training in the US (online or onsite) is aimed at developers who wish to enhance their website or web application by adding geo-location functionality through Google Maps. By the end of this training, participants will be able to:

Embed a map into a new or existing website or web application.
Display live data that synchs with current location.
Create a mashup that includes Google Maps.
Apply good CSS and JavaScript coding practices
Create a custom map for an application.

Google Cloud AutoML

7 hours

This instructor-led, live training in the US (online or onsite) is aimed at data scientists, data analysts, and developers who wish to explore AutoML products and features to create and deploy custom ML training models with minimal effort. By the end of this training, participants will be able to:

Explore the AutoML product line to implement different services for various data types.
Prepare and label datasets to create custom ML models.
Train and manage models to produce accurate and fair machine learning models.
Make predictions using trained models to meet business objectives and needs.

Last Updated: 2023-09-04