Google Cloud Platform Schulungen
Google Cloud Platform is a suite of cloud services for building and hosting applications and websites, storing data, and analyzing data.
NobleProg onsite live Google Cloud Platform training courses demonstrate through interactive discussion and hands-on practice how to understand, plan and implement a Google Cloud Platform strategy.
Google Cloud Platform training is available in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local Google Cloud Platform training can be carried out live on customer premises or in NobleProg local training centers.
Google Cloud Platform Schulungsübersicht
|archgcp||Architecting with Google Cloud Platform: Infrastructure||24 hours||This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. This course teaches participants the following skills: Consider the entire range of Google Cloud Platform technologies in their plans. Learn methods to develop, implement, and deploy solutions. Distinguish between features of similar or related products and technologies. Recognize a wide variety of solution domains, use cases, and applications. Develop essential skills for managing and administering solutions. Develop knowledge of solution patterns -- methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities. This class is intended for the following participants: Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.|
|gcpdespr||Architecting with Google Cloud Platform: Design and Process||16 hours||This two-day instructor-led class equips students to build highly reliable and efficient solutions on Google Cloud Platform. It is a continuation of theArchitecting with Google Cloud Platform: Infrastructure course and assumes hands-on experience with the technologies covered in that course. Through a combination of presentations, demos, and hands-on labs, participants learn to design GCP deployments that are highly reliable and secure; and how to operate GCP deployments in a highly available and cost-effective manner. This course teaches participants the following skills: Design for high availability, scalability, and maintainability. Assess tradeoffs and make sound choices among Google Cloud Platform products.. Integrate on-premises and cloud resources. Identify ways to optimize resources and minimize cost. Implement processes that minimize downtime, such as monitoring and alarming, unit and integration testing, production resilience testing, and incident post-mortem analysis. Implement policies that minimize security risks, such as auditing, separation of duties and least privilege. Implement technologies and processes that assure business continuity in the event of a disaster. This class is intended for the following participants: Cloud Solutions Architects, Systems Operations professionals, DevOps Engineers, IT managers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.|
|cpde||Data Engineering on Google Cloud Platform||32 hours||This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data. This course teaches participants the following skills: Design and build data processing systems on Google Cloud Platform Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow Derive business insights from extremely large datasets using Google BigQuery Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML Leverage unstructured data using Spark and ML APIs on Cloud Dataproc Enable instant insights from streaming data This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, Loading, Transforming, cleaning, and validating data Designing pipelines and architectures for data processing Creating and maintaining machine learning and statistical models Querying datasets, visualizing query results and creating reports|
|develgcp||Developing Solutions with Google Cloud Platform||24 hours||This three-day instructor-led course introduces you to concepts and best practices for developing applications with Google Cloud Platform. Through a combination of presentations, demos and hands-on labs, participants learn how to develop cloud-based applications using Google App Engine Standard Environment, Google Cloud Datastore, Google Cloud Endpoints, and Google Cloud Repositories. This course teaches participants the following skills: Build scalable and reliable applications using Google App Engine Standard Environment. Leverage Google Cloud Endpoints to implement, deploy, and manage API backends. Create microservice-based applications using App Engine services. Manage application security, versioning, deployment, and monitoring. Store application data, optimize query performance, and use transactions in Google Cloud Datastore. Provide improved performance and capacity with Memcache and instance scaling. This class is intended for experienced application developers who want to learn how to migrate applications to the cloud or create native, cloud-based applications on Google Cloud App Engine.|
|gcpfaws||Google Cloud Platform Fundamentals for AWS Professionals||6 hours||This six-hour course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. This course teaches participants the following skills: Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more. Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more. Manage and monitor applications. Explain feature and pricing model differences. Locate documentation and training. This class is intended for the following: AWS Solution Architects just getting started with Google Cloud Platform. AWS SysOps Administrators used to building IaaS solutions. Architects and Engineers operating in multi-cloud environments.|
|cpd200||CPD200: Developing Solutions on Google Cloud Platform||24 hours||This 3 day instructor-led class introduces participants to Solution Development for Google Cloud Platform. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to develop cloud-based applications using Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints. This class is intended for experienced application developers who want to learn how to develop solutions using Google Cloud Platform to create highly scalable backends for both web and mobile applications. At the end of this oneday course, participants will be able to: Manage Google Cloud Source Repositories using the Google Cloud Platform Console Test an App Engine application using the App Engine SDK Access the App Engine Development Server Console Create an API using Google Cloud Endpoints Test a Cloud Endpoint API using the API Explorer Deploy an application to App Engine using the App Engine SDK Design, structure and configure an App Engine application using multiple services Create Client IDs using the Google Cloud Platform Console Secure App Engine services and Cloud Endpoints APIs using authentication Configure and upload new versions of App Engine services Integrate Google Cloud Logging into App Engine applications Review quota usage in a Google Cloud Platform project Integrate different types of storage with App Engine applications Create and implement a data model for use with Google Cloud Datastore Implement a variety of queries in Google Cloud Datastore Update the index configuration in Google Cloud Datastore Implement transactions using Google Cloud Datastore Review Google Cloud Trace reports in the Google Cloud Platform Console Integrate the Memcache API into an App Engine application to increase performance Configure, run and review the output of Google Cloud Security Scanner Configure the scaling behaviour of individual App Engine Services Create App Engine handlers for Push Task Queues Send email from an App Engine application using the Mail API Schedule Tasks in App Engine using the Cron Service Update the configuration of the Cron Service Secure Task Push, and Cron Service handlers Export Google Cloud Platform data from a project Delete Google Cloud Platform projects and resources|
|cpb200||CPB200: Google BigQuery for Data Analysts||24 hours||This 3 day instructor led class introduces participants to Google BigQuery. Through a combination of instructorled presentations, demonstrations, and handson labs, students learn how to store, transform, analyze, and visualize data using Google BigQuery. This class is intended for data analysts and data scientists responsible for: analyzing and visualizing big data, implementing cloudbased big data solutions, deploying or migrating big data applications to the public cloud, implementing and maintaining largescale data storage environments, and transforming/processing big data. At the end of this oneday course, participants will be able to: Understand the purpose of and use cases for Google BigQuery Describe ways in which customers have used Google BigQuery to improve their businesses Understand the architecture of BigQuery and how queries are processed Interact with BigQuery using the web UI and commandline interface Identify the purpose and structure of BigQuery schemas and data types Understand the purpose of and advantages of BigQuery destinations tables and caching Use BigQuery jobs Transform and load data into BigQuery Export data from BigQuery Store query results in a destination table Create a federated query Export log data to BigQuery and query it Understand the BigQuery pricing structure and evaluate mechanisms for controlling query and storage costs Identify best practices for optimizing query performance Troubleshoot common errors in BigQuery Use various BigQuery functions Use external tools such as spreadsheets to interact with BigQuery Visualize BigQuery data Use access controls to restrict access to BigQuery data Query Google Analytics Premium data exported to BigQuery|
|cpo200||Google Cloud Platform for Systems Operations Professionals||32 hours||This 4 day instructor-led class introduces participants to the implementation of application environments and public cloud infrastructure using Google Cloud Platform. Through a combination of instructor-led presentations and hands-on labs, students learn how to deploy cloud infrastructure components such as networks, systems, and applications. This class is intended for Systems Operations professionals and Systems Administrators; Cloud Architects and DevOps personnel should enroll instead in the Architecting with Google Cloud Platform course sequence. At the end of this four-day course, participants will be able to: Understand the core tenets to be considered when designing & deploying to a cloud Use the Google Developers Console to create and manage multiple projects Use service accounts and permissions to share view-level access between projects Create Google Compute Engine instances Create a non-default network and review your network configuration Compare default and non-default networks Create firewall-rules with and without tags Create and use a customized Compute Engine image Set authorization scopes for a Compute Engine instance Reserve an external IP address for an instance Snapshot a Compute Engine instance Snapshot a data disk Create an image using a boot persistent disk Upload an image to Google Container Registry Create a Compute Engine instance group with instances Create a Cloud SQL instance using the Cloud SDK Deploy and test a web application Add instance and project metadata Query instance and project metadata using the Cloud SDK Create an instance using a startup script in metadata and Google Cloud Storage Create an instance with a shutdown script and install the Cloud Logging agent Use the API Explorer to query an API request Run sample code that uses the Google API Client Library Test and build a container that uses the Cloud SQL APIs Create an instance template and managed instance group Configure a managed instance group for autoscaling Create multiple autoscaled managed instance groups Configure fault-tolerant HTTP load balancing Test health checks for use with HTTP load balancing Manage application deployment using Jinja and Python templates with Google Cloud Deployment Manager Delete Google Cloud Platform projects and resources|
|cp100a||Google Cloud Platform Fundamentals: Core Infrastructure||8 hours||This one-day instructor-led class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies. This course teaches participants the following skills: Identify the purpose and value of Google Cloud Platform products and services Interact with Google Cloud Platform services Describe ways in which customers have used Google Cloud Platform Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Container Engine, and Google Compute Engine Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore Make basic use of BigQuery, Google’s managed data warehouse for analytics This class is intended for the following: Individuals planning to deploy applications and create application environments on Google Cloud Platform. Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform. Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs.|
|cpb100||Google Cloud Platform Fundamentals: Big Data & Machine Learning||8 hours||This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants get an overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform. This course teaches participants the following skills: Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform. Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform. Employ BigQuery and Cloud Datalab to carry out interactive data analysis. Train and use a neural network using TensorFlow. Employ ML APIs. Choose between different data processing products on the Google Cloud Platform. This class is intended for the following: Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists.|
|Course||Schulungsdatum||Kurspreis (Fernkurs / Schulungsraum)|
|Data Engineering on Google Cloud Platform - Basel||Mo, 2018-03-05 09:30||2750EUR / 3550EUR|
|Developing Solutions with Google Cloud Platform - Zürich||Mi, 2018-04-04 09:30||2100EUR / 2750EUR|
|Architecting with Google Cloud Platform: Infrastructure - Bern||Di, 2018-04-10 09:30||1710EUR / 2360EUR|