Professional Skills Development and Certification Training Courses
Available Google Cloud Instructor-Led Courses
Click Class Title for Dates and Details
Days
Course Fee
Available Google Cloud On-Demand Courses
Course Title - Click for Dates and Details
Course Fee
We have earned the trust of 15,481 customers , including these fine organizations
Google Cloud FAQ
What is Google Cloud
Google Cloud is a suite of cloud computing services offered by Google. It provides a range of tools and services for computing, data storage, data analytics, artificial intelligence, machine learning, and development that allow businesses, organizations, and individuals to build and scale applications efficiently and securely. The platform includes services for storage, networking, databases, AI, and machine learning, among others.
Business Computer Skills offers Google Cloud training classes nationwide and online.
Key Components and Services of Google Cloud
Compute
Google Compute Engine: Offers virtual machines running in Google’s data centers for tasks like scalable application hosting.
Google Kubernetes Engine (GKE): A managed Kubernetes service that provides container orchestration and management.
App Engine: A fully managed serverless platform for deploying applications, with support for multiple languages.
Storage and Databases
Google Cloud Storage: Scalable object storage solution for structured and unstructured data.
BigQuery: A fully managed data warehouse that supports SQL and other query languages, designed for handling and analyzing large datasets.
Firestore and Firebase: NoSQL databases for mobile, web, and server development with real-time syncing capabilities.
Networking
Virtual Private Cloud (VPC): Allows users to connect their resources securely with customizable IP ranges.
Cloud CDN: Content delivery network that improves website load times and scalability by caching content closer to users.
Cloud Interconnect: Connects on-premises resources to Google Cloud through dedicated physical connections.
Artificial Intelligence and Machine Learning
Cloud AI Platform: Offers tools for building, deploying, and scaling machine learning models.
AutoML: Enables users without extensive ML knowledge to train custom models for tasks like image recognition and language processing.
Natural Language API and Vision API: Ready-to-use models for NLP and image analysis.
Data Analytics
BigQuery: For real-time data analysis with high-speed query processing.
Dataflow: A fully managed service for stream and batch data processing.
Dataproc: Managed Apache Spark and Hadoop service for big data processing.
Developer Tools
Cloud SDK: Command-line tools for managing Google Cloud resources and deploying applications.
Cloud Build: A CI/CD platform that allows developers to automate builds, tests, and deployments.
Artifact Registry: A single location for managing container images and other dependencies.
Identity and Security
Cloud IAM (Identity and Access Management): Provides detailed control over who can access resources within Google Cloud.
Cloud Key Management: Manages encryption keys for data security.
Security Command Center: Centralizes security insights and provides recommendations to enhance cloud security.
Management Tools
Operations Suite (formerly Stackdriver): Monitors applications with logging, error reporting, and tracing tools.
Cloud Monitoring: Tracks performance and uptime for applications and systems.
Cloud Logging: Captures logs from Google Cloud services and other sources.
Hybrid and Multi-Cloud Solutions
Anthos: A hybrid and multi-cloud platform enabling organizations to run applications consistently across various environments.
Cloud Run: Serverless platform for running containers without managing servers.
Benefits of Google Cloud
Scalability: Google Cloud offers services that allow businesses to scale their infrastructure on-demand.
Cost-Effectiveness: The platform provides pay-as-you-go pricing, reducing the need for large upfront investments.
Reliability: Backed by Google’s infrastructure, Google Cloud provides high uptime and disaster recovery capabilities.
Global Reach: Google Cloud data centers are distributed globally, helping businesses serve users worldwide.
Enhanced Security: Google invests heavily in security, offering multiple layers of protection, regulatory compliance, and robust identity management.
Use Cases of Google Cloud
Data Analytics and Business Intelligence: With BigQuery and Data Studio, organizations can gain insights from large datasets quickly.
Application Development: Developers use App Engine and Cloud Run to build and deploy scalable web and mobile applications.
Machine Learning and AI: From predictive modeling to image and speech recognition, Google Cloud AI services support various advanced AI applications.
Hybrid and Multi-Cloud Strategies: Using Anthos, organizations can manage workloads across Google Cloud, on-premises, and other cloud providers.
In summary, Google Cloud is a comprehensive platform designed to support businesses and developers in building, deploying, and scaling applications while providing robust solutions for data management, artificial intelligence, and analytics.
Google Cloud Certifications in 2024
Foundational Level
Google Cloud Digital Leader
Description: This certification is designed for individuals who want to establish a foundational understanding of Google Cloud’s core services. It covers general knowledge of cloud computing concepts and helps individuals understand Google Cloud’s products and services, especially relevant to non-technical roles such as sales, marketing, and management.
Ideal for: Individuals starting with Google Cloud who need foundational knowledge, regardless of a technical background.
Associate Level
Google Cloud Associate Cloud Engineer
Description: This certification validates the ability to deploy, monitor, and maintain projects on Google Cloud. It focuses on essential Google Cloud tasks, such as setting up a cloud environment, managing cloud storage, and configuring network settings. It is a step up from the foundational level, requiring hands-on familiarity with Google Cloud tools.
Ideal for: Entry-level cloud engineers or IT professionals who are managing Google Cloud-based solutions.
Professional Level
Google Cloud Professional Data Engineer
Description: This certification assesses skills in designing, building, and operationalizing data processing systems. It focuses on data engineering concepts, including machine learning models, data analysis, and the creation of scalable and reliable data pipelines on Google Cloud.
Ideal for: Data engineers and professionals involved in data analytics and data science with hands-on Google Cloud experience.
Google Cloud Professional Cloud Architect
Description: The certification evaluates an individual's ability to design and plan cloud solution architecture, manage the cloud infrastructure, and ensure reliability and scalability. It also covers security and compliance, making it one of the more comprehensive certifications.
Ideal for: Cloud architects and engineers who need to design highly available, secure, and scalable solutions on Google Cloud.
Google Cloud Professional Cloud Developer
Description: This certification targets developers who build applications on Google Cloud. It focuses on cloud-native development, including cloud services, API integrations, and using Google Kubernetes Engine. This certification requires strong coding and cloud-native development skills.
Ideal for: Developers and software engineers focusing on building and deploying cloud applications.
Google Cloud Professional Cloud Security Engineer
Description: This certification focuses on security practices for Google Cloud, including configuring access control, defining security policies, and using Google security services like IAM, VPC Service Controls, and encryption. It’s a specialized certification aimed at security professionals.
Ideal for: Security engineers and professionals who are responsible for maintaining secure Google Cloud environments.
Google Cloud Professional Machine Learning Engineer
Description: This certification is designed for individuals who want to create and deploy machine learning models on Google Cloud. It covers both machine learning techniques and Google’s tools like TensorFlow and BigQuery ML, essential for building scalable ML solutions.
Ideal for: Machine learning engineers and data scientists with experience in Google Cloud’s machine learning tools and frameworks.
Google Cloud Professional Cloud Network Engineer
Description: This certification evaluates knowledge of implementing and managing network architectures on Google Cloud. It covers network design, hybrid networking, and managing network security, specifically focusing on the Google Cloud environment.
Ideal for: Network engineers or IT professionals specializing in network design and implementation within the Google Cloud ecosystem.
Google Cloud Professional Collaboration Engineer
Description: This certification targets individuals managing Google Workspace solutions. It focuses on managing users, applications, and security for Google Workspace, as well as optimizing collaboration within organizations.
Ideal for: IT administrators and collaboration engineers who are responsible for deploying and managing Google Workspace for organizations.
Jobs That Use Google Cloud
1. Cloud Engineer
Roles: Cloud Engineers focus on setting up, managing, and maintaining Google Cloud environments. They work with virtual machines, networks, and storage to support company operations on the cloud.
Responsibilities:
Implement and manage cloud resources using Google Cloud tools.
Monitor and optimize cloud infrastructure for performance and cost-effectiveness.
Ensure security and compliance of cloud systems.
2. Data Engineer
Roles: Data Engineers use Google Cloud to build and manage data pipelines, ensuring data is available, reliable, and usable for analytics and business intelligence.
Responsibilities:
Create, maintain, and optimize data pipelines on Google Cloud.
Design data models for efficient storage and retrieval.
Work closely with data scientists and analysts to ensure data accessibility and quality.
3. Solutions Architect
Roles: Solutions Architects design and plan cloud solutions tailored to meet business requirements. They bridge the gap between technical teams and business stakeholders.
Responsibilities:
Analyze business requirements to develop Google Cloud-based solutions.
Create architecture diagrams and documentation for proposed solutions.
Collaborate with engineering teams to implement and deploy cloud solutions.
4. Cloud Security Engineer
Roles: Cloud Security Engineers focus on ensuring the security of cloud environments, protecting data, and implementing best practices in cloud security.
Responsibilities:
Develop and enforce security policies and access controls.
Monitor for security threats and vulnerabilities within Google Cloud environments.
Implement security measures like encryption, network firewalls, and identity management.
5. DevOps Engineer
Roles: DevOps Engineers leverage Google Cloud to automate deployment processes, manage continuous integration/continuous deployment (CI/CD) pipelines, and improve cloud-based workflows.
Responsibilities:
Build and manage CI/CD pipelines on Google Cloud.
Automate infrastructure provisioning and application deployment.
Optimize cloud processes to improve efficiency and reliability.
6. Machine Learning Engineer
Roles: Machine Learning Engineers use Google Cloud’s AI and machine learning services to build, train, and deploy models for predictive analytics and other applications.
Responsibilities:
Design and implement machine learning models on Google Cloud.
Utilize tools like TensorFlow and AutoML for model development and training.
Deploy models to production and monitor their performance over time.
We offer live-instructor group training classes for your team.
Upskill your team from the comfort of your office or online.
Benefits of Group Training Include:
Experienced Professional Instructor Trains Your Team
Content Focused On Your Team's Needs
Convenient Scheduling and Class Setup
Significant Per/Student Cost Savings
Online, On-Site and Blended Options Available
test
Virtual Live Instructor
Free Training Manual
Free Repeat
Need Group Training?
We offer private group training services for organizations looking to upskill their team members with a live-instructor.
Training options include:
Onsite Training
Remote Training
Blended (Onsite and Remote Combined)
Learn more about how Private Group Training from Business Computer Skills can help your team.
Request a
FREE QUOTE
Available Google Cloud Training Formats
While a large number of people today use Google Cloud products in some capacity, and are familiar with its general usage, many of them just scratch the surface of knowing what this diverse suite of software and services can do, and how it can help them do their jobs more efficiently.
Business Computer Skills offers Google Cloud Training in a variety of formats to help users build their Google Cloud skills:
Google Cloud is a suite of cloud computing services offered by Google. It provides a range of tools and services for computing, data storage, data analytics, artificial intelligence, machine learning, and development that allow businesses, organizations, and individuals to build and scale applications efficiently and securely. The platform includes services for storage, networking, databases, AI, and machine learning, among others.
Business Computer Skills offers Google Cloud training classes nationwide and online.
Below are links to our available Google Cloud Training courses, Google Cloud Tutorials, and other great resources to help you learn all the available topics for Google Cloud.
Free Google Cloud Tutorials and Resources
As a service to our customers, we are actively developing a library of free Google Cloud tutorials for you to use. We know that sometimes you may not need an entire course to learn what you need in Google Cloud, so we wanted to provide some good resources that can help you accomplish some common tasks in Google Cloud.
Below are some links to free Google Cloud tutorials from Business Computer Skills and other sources:
Getting a Certifcation in Google Cloud will demonstrate a proficiency in using Google Cloud. These certifications can be beneficial to your career and can be obtained by getting the appropriate training and passing a certification exam from google.
