The specialization assumes little or no knowledge of G Suite. "provider": { Data Engineering, Big Data, and Machine Learning on GCP Specialization by Google Cloud (Coursera), 11. "@type": "Course", }, The specialization covers structured, unstructured, and streaming data. "description": "Launch your career in Cloud Networking. Sign up Here. The certification program requires at least one year of experience in designing and managing solutions using the Google Cloud Platform. You need to pass 60% (= 60 points) in order to get your certificate, which will be sent to you by email and original by mail. "@type": "ListItem", "@type": "ListItem", Sign up Here. Practicing concepts is as important as learning the concept. Cloud Architecture with Google Cloud Professional Certificate (Coursera), 7. Here is the answer of the question: Which statement best aligns with the role Cloud Spanner plays in GCP? To schedule your exam, select your preferred language. "position": "4", Sign up Here. The full 10-course journey takes learners from a strategic overview of why ML matters all the way to building custom sequence models and recommendation engines. "@type": "Organization", The certification program can be taken when 3 years or above industry experience is gained by the attendees. List of Best 15 Google Cloud Platform Courses & Certifications Online in 2020. These associates are ideal for designing cloud infrastructure and deploying systems and applications. ", Networking in Google Cloud Platform Specialization by Google Cloud (Coursera), 5. Deliver business value with big data and machine learning. "@type": "Organization", Professional Cloud Architect – Google Cloud Certification Guide: A handy guide to designing, developing, and managing enterprise-grade GCP cloud solutions. There is a plethora of demos, presentations, hands-on labs and exercises, through which participants will learn how to deploy various solution elements and infrastructure components such as networks, systems and applications services. This google kubernetes training helps you learn these technologies as it is focused on building efficient computing infrastructures using Kubernetes and GKE. It is designed for Data Analysts, Business Analysts, Business Intelligence Professionals and Cloud Data Engineers who are involved in building scalable data solutions on GCP and want to learn about data analysis that scales automatically as the data grows. Signup to submit and upvote tutorials, follow topics, and more. Top 15 Google Cloud Platform (GCP) Courses & Certifications Online in 2020. The experts at Google with years of collective SRE experience have created this program to make it easy for developers to learn the basics of SRE, adopt SRE and implement these principles so that they can design and manage complex systems that meet their reliability targets. This makes the video lectures more relevant and courses more engaging. "@type": "Course", { "@type": "Course", ", Duration : 1 month, 13 hours a week It provides a hands-on introduction to designing and building data pipelines on Google Cloud Platform. They have a neat way of teaching complicated tech courses in a funny, practical and engaging way. But now the Specialization is focused more on Compute Engine as the computing platform, so Google has renamed it to Architecting with Google Compute Engine. } So, here we reach the end and this is all about Google Cloud Certifications including Google Certifications list, GCP certification exams, and Google Cloud Certifications salary. Additionally, it covers documenting SLOs and assigning responsibilities to ensure setting up a sustainable SRE practice. Apart from video lectures, there are multitudes of interactive scenarios and hands-on labs where students get to explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. } IT Organizations world over want the capability to deploy software fast, efficiently and scale big. "name": "15 Best Google Cloud Platform Certifications, Courses, Trainings & Tutorials", { Following are the key differences between GCP vs AWS vs Azure: GCP is relatively new and does not have a strong enterprise base. This is an advanced level course, but has flexible timelines so participants can learn at their own pace and find insight. This Google cloud certification is focussed on applied learning and is structured as following 4 courses: Duration : 4 weeks, 16 hours per week As a participant of this specialization, you will explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN. This self-paced Specialization gives a broad study of security controls and techniques on GCP. Machine Learning with TensorFlow on Google Cloud Platform Specialization (Coursera), 4. Sign up Here. "position": "14", 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, 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, Learn to Design, Develop, and Secure APIs on Google Cloud’s Apigee API Platform, Explore Apigee Technology Stack to ensure a full understanding of all the platform components, Learn to create your own OpenAPI specification in Apigee Edge, Learn the industry best practices for API design and implementation, Gain a high level understanding of API security and why it’s important, Learn how to integrate OAuth and grants to your existing API proxies, Hands-on labs that set you up to the real world work, How to Containerize an existing application, Understanding of Kubernetes concepts and principles, Deploying applications to Kubernetes using the CLI, Setting up a continuous delivery pipeline using Jenkins, Acquaint yourself with containers, Docker, and the Google Container Registry, Learn to deploy an application with microservices in a Kubernetes cluster, Learn to create and manage Kubernetes deployments, Learn to Build a continuous delivery pipeline, Learn to quantify risks to and consequences of SLOs, Understand how to describe and measure the desired reliability of a service, Learn about error budgets and how to use them, Learn how to measure against your metrics and assess whether they’re realistic, Pass the GCP Associate Cloud Engineer certification exam, Use GCP services like Cloud Storage, Compute Engine, and Kubernetes Engine in your everyday work, Set up a Google Cloud environment, including billing accounts, projects, tools, access, and security, Get familiar with using the Google Cloud through both the console and the command-line, Plan, configure, implement, deploy, monitor, and manage solutions in the Google Cloud, Build a strong foundation for other GCP certification exams, Use big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub, Build deep learning models on the cloud using TensorFlow, Deploy Managed Hadoop apps on the Google Cloud, Make informed decisions about Containers, VMs and AppEngine, Pass the Google Cloud Professional Data Engineer Certification Exam. He is a highly sought-after Public Speaker at tech conferences around the world. "item": { "position": "1", "@type": "Organization", (Apigee, Associate Android Developer, Mobile Web Specialist). "@type": "ListItem", } "@type": "Organization", "@type": "ListItem", "item": { We are recognized by 20+ large biopharma companies who partner with Transcelerate Biopharma to recognize ICH GCP certification. Be very clear with the cloud computing fundamental concepts. You should have appropriate knowledge and skills in using the concepts in real-life applications. These include resources for both beginner and intermediate level learners that will equip you with concepts, tools and products that make up the world of google cloud. It is a comprehensive course that gives an efficient introduction to everything that GCP has to offer, thereby opening the doors to Google Cloud, even for participants with no prior GCP experience. "description": "Develop APIs with the Apigee API Platform. The course has a rich content of 28 hours on-demand video, 25 articles and 48 downloadable resources. Try to solve questions in the practice tests available online. "@type": "Organization", "name": "Udemy" GCP: Complete Google Data Engineer and Cloud Architect Guide (Udemy), Architecting with Google Compute Engine Specialization by Google Cloud (Coursera), G Suite Administration Specialization by Google Cloud (Coursera), Machine Learning with TensorFlow on Google Cloud Platform Specialization (Coursera), Networking in Google Cloud Platform Specialization by Google Cloud (Coursera), Developing Applications with Google Cloud Platform Specialization by Google Cloud (Coursera), Cloud Architecture with Google Cloud Professional Certificate (Coursera), From Data to Insights with Google Cloud Platform Specialization by Google Cloud (Coursera), Security in Google Cloud Platform Specialization by Google Cloud (Coursera), Architecting with Google Kubernetes Engine Specialization by Google Cloud (Coursera), Data Engineering, Big Data, and Machine Learning on GCP Specialization by Google Cloud (Coursera), Developing APIs with Google Cloud’s Apigee API Platform Specialization by Google Cloud (Coursera), Getting Started with Google Kubernetes Engine by Google Cloud (Coursera), Site Reliability Engineering: Measuring and Managing Reliability by Google Cloud (Coursera), Google Certified Associate Cloud Engineer Certification (Udemy), GCP: Complete Google Data Engineer and Cloud Architect Guide (Udemy), Top 10 IT Support & Help Desk Courses, Classes & Certifications Online in 2020, Top 10 AWS Training, Certification Courses, Tutorials Online in 2020, 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, 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, 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, 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, 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, The computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery, Resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management, Infrastructure components such as networks, virtual machines and applications services, Using the Google Cloud Platform through the console and Cloud Shell, How to deploy practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring, How to deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services, How to choose the appropriate Cloud Storage services based on application requirements, How to choose the right Google Cloud deployment services for your applications, Implementing reliable, scalable, resilient applications balancing key performance metrics with cost, Securing cloud applications, data, and infrastructure, Monitoring service level objectives and costs using Google Cloud tools, 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, 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, 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.
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