Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course and assumes hands-on experience with the technologies covered in either of those courses. This two-day instructor-led class equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. Scripting Languages (Python, PowerShell)Īrchitecting with Google Cloud: Design and Process (2 days).AWS Partner Acceleration Training Program.Google Cloud Advanced Skills & Certification Workshops.Google Cloud Big Data and Machine Learning Fundamentals.Google Cloud Fundamentals: Core Infrastructure.Installing and Managing Google Cloud’s Apigee API Platform in Private Cloud.Managing Google Cloud’s Apigee API Platform for Hybrid Cloud.Developing APIs with Google Cloud’s Apigee API Platform.Apigee and Business Application Platform.Customer Experiences with Contact Center AI – Dialogflow CX.Customer Experiences with Contact Center AI – Dialogflow ES.Machine Learning and Artificial Intelligence.Google Cloud Advanced Skills & Certification Workshop – Security Engineer.Leading Change When Moving to Google Cloud.Managing Machine Learning Projects with Google Cloud. Data-Driven Transformation with Google Cloud.Cloud Digital Leader Training with Google Cloud.Google Cloud Advanced Skills & Certification Workshop: Cloud Developer.To be more agile and to react faster to market changes, they must understand business processes better and in more detail. Developing Applications with Cloud Functions on Google Cloud 2 The Process Architect: The Smart Role in Business Process Management Introduction Today, organizations that are facing aggressive market challenges share focus.Developing Applications with Google Cloud.Architecting Hybrid Cloud Infrastructure with Anthos.Architecting with Google Kubernetes Engine.Migrating Amazon Redshift Users to BigQuery.Migrating Amazon Athena Users to BigQuery and Dataproc.Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration. The client will receive more detailed drawings and, most likely, a specification book. A good designer will provide clients with all the information they need to make important decisions confidently.
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