Google Training in the US

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level IT professionals who wish to gain expertise in managing cloud infrastructure and services on Google Cloud.

By the end of this training, participants will be able to:

• Set up and configure cloud environments using Google Cloud services.
• Manage and configure virtual machines, storage, and networking.
• Deploy and monitor applications in GCP environments.
• Implement security best practices and identity management.
• Use Google Cloud tools for automation and troubleshooting.

This instructor-led, live training in the US (online or onsite) is aimed at beginner-level IT professionals who wish to manage and operate the Google Cloud Platform.

By the end of this training, participants will be able to:

• Understand the core services and infrastructure of GCP.
• Learn how to manage networks and virtual machines.
• Understand and apply general security best practices in GCP.
• Explore Kubernetes and container management in GCP.
• Learn about storage options and how to configure them.
• Deploy and configure databases on GCP.

This instructor-led, live training in the US (online or onsite) is aimed at beginner-level commercial managers who wish to use Google Workspace tools to enhance productivity, collaboration, and organization within their respective roles.

By the end of this training, participants will be able to:

• Understand the basics of Google Workspace.
• Effectively schedule and manage meetings using Google Calendar.
• Confidently host, join, and manage virtual meetings, and use collaboration features like screen sharing.
• Create professional documents, use collaboration features, and convert documents to various formats.
• Create, format, and share presentations, and collaborate with others on the same presentation.

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level developers, data scientists, and tech professionals who wish to leverage Google Vertex AI for creating and deploying custom AI models.

By the end of this training, participants will be able to:

• Understand the capabilities and features of Google Vertex AI.
• Set up and configure the Google Vertex AI environment.
• Develop and train custom AI models using Vertex AI.
• Deploy and manage AI models on Google Cloud Platform.
• Utilize Vertex AI's tools for monitoring and optimizing model performance.
• Implement best practices for AI model development and deployment.

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-to-advanced level GIS professionals who wish to learn how to use Google Earth Pro for mapping, data visualization, and geographic analysis.

By the end of this training, participants will be able to:

• Learn to navigate the user interface of Google Earth Pro and understand the functionality of its various tools and options.
• Efficiently navigate the globe using Google Earth Pro, including the use of search functions, coordinates, and various view modes.
• Create, edit, and utilize placemarks, paths, and polygons to mark and analyze geographical locations.
• Use Google Earth Pro for advanced visualization, including 3D buildings, historical imagery, and street view integration.

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.

This instructor-led, live training in the US (online or onsite) is aimed at beginner to intermediate-level software engineers or anyone who wish to learn how to use Vertex AI to perform and complete machine learning activities.

By the end of this training, participants will be able to:

• Understand how Vertex AI works and use it as a machine learning platform.
• Learn about machine learning and NLP concepts.
• Know how to train and deploy machine learning models using Vertex AI.

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.

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.

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.

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.

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.

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.