Google Cloud Training

As Google continues to push the bounds of innovation, businesses can benefit by building systems on the Google Cloud Platform. Web Age Solutions offers Google Cloud Platform training to provide an overview of the platform, along with a path to get started building cloud-native, highly-scalable services.
Google Cloud Primer
Course ID: WA3094
Delivery: On-Site or Instructor-led Virtual

This course introduces the students to general Cloud concepts and capabilities as well the products and services provided by Google Cloud.  At the end of the course, the attendees will be able to identify the appropriate Google Cloud service(s) required for their cloud-based solutions.   

This class will help participants interested in the GCP Associate Cloud Engineer Certification to orient themselves on the required topics and give them practical knowledge to start off on that learning path.

 

Google Cloud Platform Fundamentals
Course ID: WA3095
Delivery: On-Site or Instructor-led Virtual

This course introduces the students to the Google Cloud products and services as well as their integration in the context of user cloud-based solutions.  At the end of the course, the attendees will be able to make informed technical decisions and select the most appropriate Google Cloud service(s) required for their enterprise-grade cloud-based solutions.

GCP Networking and Security
Course ID: WA3213
Delivery: On-Site or Instructor-led Virtual

This Google Cloud training course teaches attendees how to secure a Google Cloud Platform (GCP) environment.  This course explores core concepts like resource hierarchy, VPC networking, and Compute Engine security. This class then tackles advanced topics like Cloud NAT, Private Google Access, and Cloud Interconnect, all designed to safeguard valuable data and applications on GCP.

Security in Google Cloud
Course ID: GCP-SEC-3
Delivery: On-Site or Instructor-led Virtual

This training course gives you a broad study of security controls and techniques in Google Cloud. Through lectures, demonstrations, and labs, you explore and deploy the components of a secure Google Cloud solution. You use services including Cloud Identity, Identity and Access Management (IAM), Cloud Load Balancing, Cloud IDS, Web Security Scanner, BeyondCorp Enterprise, and Cloud DNS.
Google Cloud Fundamentals: Core Infrastructure
Course ID: GCP-FUND
Delivery: On-Site or Instructor-led Virtual

This course uses lectures and labs to give you an overview of Google Cloud products and services. You learn about the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.
Developing Applications with Google Cloud
Course ID: GCP-DEV
Delivery: On-Site or Instructor-led Virtual

Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.
Machine Learning on Google Cloud
Course ID: GCP-ML
Delivery: On-Site or Instructor-led Virtual

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project. You learn how to build AutoML models without writing a single line of code; build BigQuery ML models using SQL, and build Vertex AI custom training jobs by using Keras and TensorFlow. You also explore data preprocessing techniques and feature engineering.
Google Cloud Big Data and Machine Learning Fundamentals
Course ID: GCP-BD-ML
Delivery: On-Site or Instructor-led Virtual

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Data Engineering on Google Cloud
Course ID: GCP-DE
Delivery: On-Site or Instructor-led Virtual

Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.
Architecting with Google Cloud: Design and Process
Course ID: GCP-DP
Delivery: On-Site or Instructor-led Virtual

This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course.
Application Development with Cloud Run
Course ID: GC-APP-DEV-10
Delivery: On-Site or Instructor-led Virtual

This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, implement, deploy, secure, manage, and scale applications on Google Cloud using Cloud Run.
Data Integration with Cloud Data Fusion
Course ID: GC-DI-CDF
Delivery: On-Site or Instructor-led Virtual

This 2-day course introduces learners to Google Cloud’s data integration capability using Cloud Data Fusion. In this course, we discuss challenges with data integration and the need for a data integration platform (middleware). We then discuss how Cloud Data Fusion can help to effectively integrate data from a variety of sources and formats and generate insights. We take a look at Cloud Data Fusion’s main components and how they work, how to process batch data and real time streaming data with visual pipeline design, rich tracking of metadata and data lineage, and how to deploy data pipelines on various execution engines.
Installing and Managing Google Cloud's Apigee API Platform for Private Cloud
Course ID: GC-IMGC-APGE
Delivery: On-Site or Instructor-led Virtual

This course introduces you to the fundamentals and advanced practices used to install and manage Google Cloud's Apigee API Platform for private cloud. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, install, secure, manage, and scale the Apigee API Platform for Private Cloud.
Vertex AI Model Garden
Course ID: GCP-AIMG
Delivery: On-Site or Instructor-led Virtual

Vertex AI Model Garden provides enterprise-ready foundation models, task-specific models, and APIs. Model Garden can serve as the starting point for model discovery for various different use cases. You can kick off a variety of workflows including using models directly, tuning models in Generative AI Studio, or deploying models to a data science notebook. In this class, after being introduced to Vertex AI as a machine learning platform through the lens of Model Garden. You will learn how to leverage pre-trained models as part of your machine learning workflow and how to fine-tune models for your specific applications.
Managing Google Cloud's Apigee API Platform for Hybrid Cloud
Course ID: GCP-API-HYBRD
Delivery: On-Site or Instructor-led Virtual

Learn how to install and manage Google Cloud's Apigee API Platform in a hybrid cloud. This course uses lectures, hands-on labs, and supplemental resources to show you how to design, install, manage, and scale your Apigee API Platform.
Architecting Hybrid Cloud Infrastructure with Anthos
Course ID: GCP-ARCH-ANTH-4
Delivery: On-Site or Instructor-led Virtual

This four day, instructor-led course prepares students to modernize, manage, and observe their containerized applications using Kubernetes, in Google Cloud, AWS, Azure, and on-premises. Through presentations and hands-on labs, participants explore Google Kubernetes Engine (GKE), Connect Agent, Anthos Service Mesh and Anthos Config Management features. Participants learn how to work with containerized applications even when split between multiple clusters, hosted by multiple cloud providers or on-premises. This course is a continuation of Architecting with GKE and assumes direct experience with the technologies covered in that course.
Analyzing and Visualizing Data in Looker
Course ID: GCP-AVDL
Delivery: On-Site or Instructor-led Virtual

In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
Cloud Digital Leader Training with Google Cloud
Course ID: GCP-CDL
Delivery: On-Site or Instructor-led Virtual

If you are wondering how cloud can transform your business then this course is for you. Aimed at business leaders new to cloud, this course provides insight into Google's approach to digital transformation, and how to embrace cloud in your business.

Getting Started with Google Kubernetes Engine
Course ID: GCP-KUB
Delivery: On-Site or Instructor-led Virtual

This course covers an introduction to Kubernetes, a software layer that sits between your applications and your hardware infrastructure. Google Kubernetes Engine (GKE) brings you Kubernetes as a managed service on Google Cloud. This course teaches the basics of GKE and how to get applications containerized and running in Google Cloud. The course covers a basic introduction to Google Cloud, an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.
Architecting with Google Kubernetes Engine
Course ID: GCP-KE
Delivery: On-Site or Instructor-led Virtual

Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). Learn how to use other tools on Google Cloud that interact with GKE deployments. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services. You'll also learn how to deploy practical solutions, including security and access management, resource management, and resource monitoring.
Architecting with Google Compute Engine
Course ID: GCP-CE
Delivery: On-Site or Instructor-led Virtual

This course will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This course uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services. You'll also learn how to deploy practical solutions such as hybrid networking, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
Customer Experiences with Contact Center AI - Dialogflow CX
Course ID: GCP-CUST-EXP-AI-CX
Delivery: On-Site or Instructor-led Virtual

In this Dialogflow course, master designing customer conversations using Contact Center Artificial Intelligence (CCAI). You’ll use Dialogflow CX to create virtual agents and test them using the simulator. Learn to add functionality to access data from external systems, making virtual agents conversationally dynamic. You'll be introduced to testing methods, connectivity protocols, APIs, environment management, and compliance measures. Learn best practices for integrating conversational solutions with your existing contact center software and implementing solutions securely and at scale.

Customer Experiences with Contact Center AI - Dialogflow ES
Course ID: GCP-CUST-EXP-AI-ES
Delivery: On-Site or Instructor-led Virtual

In this Contact Center AI course, master designing customer conversations using Contact Center Artificial Intelligence (CCAI). Attendees use Dialogflow ES to create virtual agents, test them using the simulator, and add functionality to access data from external systems, making virtual agents conversationally dynamic. This course covers testing methods, connectivity protocols, APIs, environment management, and compliance measures. Students also learn best practices for integrating conversational solutions with your existing contact center software and implementing solutions securely and at scale.

Developing Data Models with LookML
Course ID: GCP-DDM-LOOK
Delivery: On-Site or Instructor-led Virtual

This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
Developing APIs with Google Cloud’s Apigee API Platform
Course ID: GCP-DEV-API
Delivery: On-Site or Instructor-led Virtual

In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API life cycle, and how the Apigee API platform helps you manage all aspects of the life cycle. You learn how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform.
Developing Applications with Cloud Functions on Google Cloud
Course ID: GCP-DEVA-CF
Delivery: On-Site or Instructor-led Virtual

In this Google Cloud course, attendees master Cloud Functions, Google's serverless, fully-managed functions as a service (FaaS) product. With Cloud Functions, you implement single-purpose functions that respond to HTTP requests and process events from your cloud infrastructure.

From Data to Insights with Google Cloud
Course ID: GCP-DI-3
Delivery: On-Site or Instructor-led Virtual

Explore ways to derive insights from data at scale using BigQuery, Google Cloud’s serverless, highly scalable, and cost-effective cloud data warehouse. This course uses lectures, demos, and hands-on labs to teach you the fundamentals of BigQuery, including how to create a data transformation pipeline, build a BI dashboard, ingest new datasets, and design schemas at scale.
Data Warehousing w/BigQuery: Storage Design, Query Optimization, Administration
Course ID: GCP-DWB-SQA
Delivery: On-Site or Instructor-led Virtual

In this course, you learn about the internals of BigQuery and best practices for designing, optimizing, and administering your data warehouse. Through a combination of lectures, demos, and labs, you learn about BigQuery architecture and how to design optimal storage and schemas for data ingestion and changes. Next, you learn techniques to improve read performance, optimize queries, manage workloads, and use logging and monitoring tools. You also learn about the different pricing models. Finally, you learn various methods to secure data, automate workloads, and build machine learning models with BigQuery ML.
Introduction to Responsible AI in Practice
Course ID: GCP-IRAIP
Delivery: On-Site or Instructor-led Virtual

In this course, you will do a high-level exploration of Google's recommended best practices for responsible AI usage across different areas of focus: Fairness, Interpretability, Privacy and Safety. Along the way, you will learn how you can leverage different open-source tools and tools on Vertex AI to explore these concepts and spend time considering the different challenges that arise with generative AI.

Logging, Monitoring, and Observability in Google Cloud
Course ID: GCP-LMNOP
Delivery: On-Site or Instructor-led Virtual

This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud.

Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.
Networking in Google Cloud v2.0
Course ID: GCP-NET
Delivery: On-Site or Instructor-led Virtual

This training course builds on the networking concepts covered in the Architecting with Google Compute Engine course. Through presentations, demonstrations, and labs, participants explore and deploy Google Cloud networking technologies. These technologies include: Virtual Private Cloud (VPC) networks, subnets, and firewalls, Interconnection among networks, Load balancing, Cloud DNS, Cloud CDN, Cloud NAT. The course will also cover common network design patterns.
Serverless Data Processing with Dataflow
Course ID: GCP-SRVLS-DATA
Delivery: On-Site or Instructor-led Virtual

This training is intended for big data practitioners who want to further their understanding of Dataflow in order to advance their data processing applications. Beginning with foundations, this training explains how Apache Beam and Dataflow work together to meet your data processing needs without the risk of vendor lock-in.The section on developing pipelines covers how you convert your business logic into data processing applications that can run on Dataflow. This training culminates with a focus on operations, which reviews the most important lessons for operating a data application on Dataflow, including monitoring, troubleshooting, testing, and reliability.
Migrating Teradata Users to BigQuery
Course ID: GCP-TERA-BQ
Delivery: On-Site or Instructor-led Virtual

In this course you will learn how to translate various concepts in Teradata to the analogous concepts in BigQuery. You will learn how the high-level architectures of Teradata and BigQuery compare, understand di erences in how to con gure datasets and tables, map data types in Teradata to data types in BigQuery, understand schema mapping from Teradata to BigQuery, optimize your new schemas in BigQuery, and do a high-level comparison of SQL dialects in Teradata and BigQuery
Getting Started with Terraform for Google Cloud
Course ID: GCP-TERRA
Delivery: On-Site or Instructor-led Virtual

This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as a code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building Google Cloud resources using Terraform.
Text Generation for Applications using Gen AI Studio
Course ID: GCP-TGA-GAIS
Delivery: On-Site or Instructor-led Virtual

In this course, you will explore the use of text generation models using Gen AI Studio on Vertex AI and learn how to incorporate those models into your application using the PaLM API and client libraries. You will learn how to design and tune prompts to ensure the best outputs for your applications and discuss how to fine-tune foundational models to improve model output quality.

Google Cloud Platform Associate Cloud Engineer (ACE) Certification Bundle
Course ID: WA3106
Delivery: On-Site or Instructor-led Virtual

This course will help participants interested in the GCP Associate Cloud Engineer Certification to orient themselves on the required topics and give them practical knowledge to start off on that learning path.