Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google. GCP provides a range of cloud services, including compute, storage, networking, machine learning, data analytics, and security.
Some popular GCP services include:
- Compute Engine: A service that provides virtual machines for running applications.
- Cloud Storage: A scalable object storage service for storing and accessing data.
- Cloud SQL: A fully managed relational database service.
- BigQuery: A serverless data warehouse that allows users to analyze massive datasets.
- Cloud AI Platform: A machine learning platform for building and deploying machine learning models.
Google Cloud Platform offers a wide range of certifications for IT professionals and developers, including:
- Google Cloud Certified – Associate Cloud Engineer
- Google Cloud Certified – Professional Cloud Architect
- Google Cloud Certified – Professional Data Engineer
- Google Cloud Certified – Professional Cloud Security Engineer
- Google Cloud Certified – Professional Cloud Developer
- Google Cloud Certified – Professional Cloud Network Engineer
These certifications demonstrate proficiency in using GCP services and can help individuals advance their careers in cloud computing.
1. Architecting with Google Compute Engine Specialization by Google Cloud
The “Architecting with Google Compute Engine Specialization” is a series of courses offered by Google Cloud Platform that focuses on teaching individuals how to design and deploy robust, scalable, and highly available cloud solutions using Google Compute Engine.
The specialization consists of four courses:
- Google Cloud Platform Fundamentals: Core Infrastructure
- Essential Google Cloud Infrastructure: Foundation
- Essential Google Cloud Infrastructure: Core Services
- Elastic Google Cloud Infrastructure: Scaling and Automation
Through these courses, participants learn how to create and manage virtual machines, configure and manage networks, use Google Cloud Storage, and automate infrastructure deployments using tools such as Google Cloud Deployment Manager and Google Kubernetes Engine.
The specialization is designed for cloud architects, solutions architects, systems operators, and others who want to gain expertise in designing and deploying cloud solutions using Google Compute Engine. Upon completion, participants earn a certificate of completion from Google Cloud Platform.
Key Highlights
- Understand the infrastructure components and application services that form a part of Google Cloud Platform
- Understand how to assess tradeoffs and make sound choices among Google Cloud Platform products
- Learn to integrate on-premises and cloud resources
- Gain practical hands-on experience using Qwiklabs platform
- Earn a Specialization Certificate to share with your professional network and potential employers
- All participants who complete this specialization will be able to share their information directly with Google and partners to be considered for open hiring opportunities
Duration : 4-5 weeks, 6-10 hours per week
Rating : 4.7
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2. G Suite Administration Specialization by Google Cloud (Coursera)
The “G Suite Administration Specialization” is a series of courses offered by Google Cloud on Coursera. The specialization is designed to teach individuals how to effectively administer and manage G Suite, Google’s suite of cloud-based productivity and collaboration tools, within an organization.
The specialization consists of four courses:
- G Suite Administration Fundamentals
- G Suite Mail Routing and Delivery
- G Suite Security
- G Suite Mobile Management
Through these courses, participants learn how to set up and manage G Suite user accounts, configure and manage email delivery, secure G Suite data and devices, and manage G Suite on mobile devices.
The specialization is designed for IT professionals, system administrators, and others who are responsible for managing G Suite within an organization. Upon completion, participants earn a certificate of completion from Google Cloud.
Key Highlights
- Perfect course for beginners who have never used G Suite before
- Learn common administrative tasks in the G Suite admin console and advise on best practices for organizational structure, user, and service management
- Describe Google Vault and learn how to use it to retain, search and export your organization’s data
- Learn to monitor security events and risks and put in place the necessary measures to protect your users and organizational data
- Implement fundamental best management practices behind various G Suite services
- Implement common email security measures in your DNS records such as SPF, DKIM and DMARC and be able to explain the purpose of each measure
Duration : 4 weeks, 16 hours per week
Rating : 4.8
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3. Machine Learning with TensorFlow on Google Cloud Platform Specialization (Coursera)
The “Machine Learning with TensorFlow on Google Cloud Platform Specialization” is a series of courses offered by Google Cloud on Coursera. The specialization is designed to teach individuals how to build and deploy machine learning models using TensorFlow and Google Cloud Platform.
The specialization consists of five courses:
- How Google does Machine Learning
- Launching into Machine Learning
- Introduction to TensorFlow
- Feature Engineering
- Art and Science of Machine Learning
Through these courses, participants learn how to use TensorFlow to build machine learning models, train and evaluate models, perform feature engineering, and deploy models on Google Cloud Platform. The specialization covers a range of machine learning topics, including supervised and unsupervised learning, neural networks, and deep learning.
The specialization is designed for developers, data scientists, and others who are interested in learning how to use TensorFlow and Google Cloud Platform for machine learning. Upon completion, participants earn a certificate of completion from Google Cloud.
Key Highlights
- Learn why Machine Learning matters and what kinds of problems it can solve
- Learn to build machine learning models that meaningfully impact the businesses and the customers they serve
- Learn practical tips and pitfalls from Machine Learning practitioners at Google
- Content delivered with applied learning approach to help students gain new skills with hands-on labs
- Experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform
- Opportunity to add machine learning projects to your resume
Duration : 4-5 weeks, 16 hours per week
Rating : 4.6
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4. Networking in Google Cloud Platform Specialization by Google Cloud (Coursera)
The “Networking in Google Cloud Platform Specialization” is a series of courses offered by Google Cloud on Coursera. The specialization is designed to teach individuals how to design, deploy, and manage networking solutions in Google Cloud Platform.
The specialization consists of four courses:
- Google Cloud Platform Fundamentals: Core Infrastructure
- Networking in GCP: Defining and Implementing Networks
- Networking in GCP: Hybrid Connectivity and Network Management
- Networking in GCP: Scaling and Securing Infrastructure
Through these courses, participants learn how to design and implement networking solutions in Google Cloud Platform, including virtual private clouds (VPCs), subnets, and firewall rules. The specialization also covers hybrid connectivity solutions, such as VPNs and Cloud Interconnect, as well as network management tools like Stackdriver Monitoring and Cloud Armor.
The specialization is designed for IT professionals and network administrators who are interested in learning how to design and manage networking solutions in Google Cloud Platform. Upon completion, participants earn a certificate of completion from Google Cloud.
Key Highlights
- Design, develop, and manage cloud networking solutions to drive business objectives
- Learn to Configure Google VPC networks, subnets, and routers
- Control administrative access to VPC objects
- Learn about Google Cloud load balancer and proxy options and configure them
Duration : 1 month, 15 hours per week
Rating : 4.8
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5. Developing Applications with Google Cloud Platform Specialization by Google Cloud (Coursera)
The Developing Applications with Google Cloud Platform Specialization is a series of courses offered by Google Cloud on the Coursera platform. This specialization focuses on developing applications using various services and tools offered by Google Cloud Platform. The specialization includes the following courses:
- Google Cloud Platform Fundamentals: Core Infrastructure
- Essential Cloud Infrastructure: Foundation
- Essential Cloud Infrastructure: Core Services
- Elastic Google Cloud Infrastructure: Scaling and Automation
Upon completion of this specialization, learners will have a solid understanding of the Google Cloud Platform and how to build scalable and resilient applications using various services offered by Google Cloud.
Key Highlights
- Be able to identify the purpose and value of Google Cloud Platform products and services
- Describe best practices for cloud-native application development
- Choose the appropriate data storage option for application data
- Learn to develop loosely coupled application components or microservices
- Learn to deploy applications using Container Builder, Container Registry, and Deployment Manager
- Implement federated identity management using Firebase authentication
- Learn to choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment
Duration : 1 month, 14 hours per week
Rating : 4.6
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6. Cloud Architecture with Google Cloud Professional Certificate (Coursera)
The Cloud Architecture with Google Cloud Professional Certificate is a program offered by Google Cloud on the Coursera platform. It consists of six courses that cover a range of topics related to cloud architecture and Google Cloud Platform (GCP). The courses in this certificate program are:
- Google Cloud Platform Fundamentals: Core Infrastructure
- Essential Cloud Infrastructure: Foundation
- Essential Cloud Infrastructure: Core Services
- Elastic Google Cloud Infrastructure: Scaling and Automation
- Reliable Google Cloud Infrastructure: Design and Process
- Designing Google Cloud Platform Architecture
The program is designed to teach learners about cloud architecture and how to design, develop, and manage scalable and reliable cloud solutions using GCP. The courses cover a variety of topics including GCP services, cloud computing concepts, cloud security, and best practices for designing and deploying cloud solutions. By completing this program, learners will have the knowledge and skills to design and implement cloud architectures using GCP.
Key Highlights
- Learn the skills needed to be successful in a cloud architect role
- Prepare for the Google Cloud Professional Cloud Architect certification
- Test your skills and abilities with Activity Tracking Challenge Labs
- Graded practice exam quiz that simulates the exam-taking experience
- Review each section of the exam using highest-level concepts to identify what is already known and surface gap areas for study
- Gain real-world experience through a number of hands-on Qwiklabs projects that you can share with potential employers
Duration : 6 weeks, 5 hours per week
Rating : 4.7
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7. From Data to Insights with Google Cloud Platform Specialization by Google Cloud (Coursera)
The “From Data to Insights with Google Cloud Platform” specialization by Google Cloud on Coursera consists of four courses that cover various aspects of working with data on the Google Cloud Platform (GCP). The courses are:
- Google Cloud Platform Big Data and Machine Learning Fundamentals: This course provides an introduction to GCP’s big data and machine learning services, including BigQuery, Cloud Dataflow, and Cloud ML Engine.
- Modernizing Data Lakes and Data Warehouses with GCP: This course covers the process of modernizing data warehouses and data lakes using GCP’s services, including Cloud Storage, Cloud Dataproc, and BigQuery.
- Serverless Data Analysis with Google BigQuery and Cloud Dataflow: This course focuses on using Google BigQuery and Cloud Dataflow to perform serverless data analysis. Topics covered include data ingestion, transformation, and analysis using SQL and Apache Beam.
- Building Resilient Streaming Systems on Google Cloud Platform: This course covers building resilient streaming systems using GCP’s services, including Cloud Pub/Sub, Cloud Dataflow, and Cloud Dataproc.
Upon completion of all four courses, learners will have gained a solid understanding of GCP’s data services and how to use them to perform data analysis and build scalable, resilient systems.
Key Highlights
- Understand the common challenges faced by data analysts and how to solve them with the big data tools on Google Cloud Platform
- Understand how pricing works in BigQuery and how you can best optimize your queries
- Get to practice writing and troubleshooting SQL on a real Google Analytics e-commerce dataset to drive marketing insights
- Learn Cloud Datalab (a key tool in the Data Scientist toolkit) which enables analysts to collaborate through the use of scalable cloud notebooks
- Learn about optimizing your queries for performance and how you can secure your data through authorized views
- Practice using the pretrained Machine Learning APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML
Duration : 2 months, 6 hours per week
Rating : 4.7
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8. Security in Google Cloud Platform Specialization by Google Cloud (Coursera)
The Security in Google Cloud Platform Specialization by Google Cloud on Coursera is a series of courses designed to teach learners how to secure applications and infrastructure on Google Cloud Platform. The specialization consists of four courses:
- Google Cloud Platform Fundamentals: Core Infrastructure
- Networking in Google Cloud Platform
- Security in Google Cloud Platform
- Identity and Access Management in Google Cloud Platform
In the first course, learners will be introduced to the fundamentals of Google Cloud Platform and learn about the core infrastructure services. In the second course, learners will learn about the networking services available in Google Cloud Platform and how to secure them. The third course focuses on securing data and applications in Google Cloud Platform, including topics like encryption, key management, and threat detection. The final course focuses on identity and access management, teaching learners how to manage access to resources in Google Cloud Platform.
Upon completion of the specialization, learners will have gained a strong understanding of how to secure their applications and infrastructure on Google Cloud Platform.
Key Highlights
- Understand the Google approach to security
- Manage administrative identities using Cloud Identity and Implement IP traffic controls using VPC firewalls and Cloud Armor
- Implement least privilege administrative access using Google Cloud Resource Manager, Cloud IAM
- Learn how to leverage Forseti Security to systematically monitor your GCP resources
- Remediate important types of vulnerabilities, especially public access to data and VMs
- Understand encrypting persistent disks with Customer Supplied Encryption keys
- Opportunity to practice what you’ve learned, by completing the labs exercises. Some examples include “Configuring VPC Firewalls” and “Using and Viewing VPC Flow Logs in Stackdriver”.
Duration : 2 months, 16 hours per week
Rating : 4.7
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9. Architecting with Google Kubernetes Engine Specialization by Google Cloud (Coursera)
The Architecting with Google Kubernetes Engine Specialization is a series of courses offered by Google Cloud on the Coursera platform. This specialization consists of three courses:
- Google Cloud Platform Fundamentals: Core Infrastructure
- Architecting with Google Kubernetes Engine
- Deploying Applications with Google Kubernetes Engine
In this specialization, learners will gain hands-on experience with Kubernetes by building and deploying containerized applications on Google Kubernetes Engine (GKE). They will learn how to design and deploy Kubernetes applications on GKE, how to configure and use GKE cluster features, how to automate the deployment of containerized applications using Kubernetes, and how to monitor and troubleshoot GKE clusters and applications. By the end of the specialization, learners will be able to design, deploy, and operate scalable and highly available Kubernetes applications
Key Highlights
- Discover the advantages of Google Kubernetes Engine compared to building your own container-management infrastructure
- Learn how to configure your Google Kubernetes Engine environment; build, schedule, load-balance, and monitor workloads; manage access control and security; and give your applications persistent storage
- Understand how to deploy practical solutions including security and access management, resource management, and resource monitoring
- Learn the components of a Kubernetes cluster and how they work together and how to deploy a Kubernetes cluster
- Learn about the different types of Kubernetes storage abstractions
Duration : 5 weeks, 16 hours per week
Rating : 4.7
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10. Data Engineering, Big Data, and Machine Learning on GCP Specialization by Google Cloud (Coursera)
The Data Engineering, Big Data, and Machine Learning on GCP Specialization by Google Cloud on Coursera is designed to teach learners how to design, build, operate, and troubleshoot big data solutions on Google Cloud Platform. The specialization consists of six courses:
- Google Cloud Platform Big Data and Machine Learning Fundamentals
- Modernizing Data Lakes and Data Warehouses with GCP
- Building Batch Data Pipelines on GCP
- Building Resilient Streaming Analytics Systems on GCP
- Smart Analytics, Machine Learning, and AI on GCP
- Google Cloud Professional Data Engineer Exam Review
Upon completion of the specialization, learners will have the skills needed to build scalable and efficient big data pipelines and systems, use machine learning and analytics to gain insights from data, and prepare for the Google Cloud Professional Data Engineer certification exam.
Key Highlights
- Learn to process big data at scale for analytics and machine learning
- Design and build data pipelines on Google Cloud Platform
- Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc
- Learn the fundamentals of building new machine learning models
- Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
- Manage your data Pipelines with Data Fusion and Cloud Composer
- Derive business insights from extremely large datasets using Google BigQuery
- Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML
- Enable instant insights from streaming data
- Get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs
Duration : 5 weeks, 10 hours per week
Rating : 4.6
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