GOOGLE CLOUD PLATFORM FUNDAMENTALS: BIG DATA AND MACHINE LEARNING View Schedule What you’ll learn 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
GETTING STARTED WITH GOOGLE KUBERNETES ENGINE View Schedule What you’ll learn Understand container basics. Containerize an existing application. Understand Kubernetes concepts and principles. Deploy applications to Kubernetes using the CLI. Set up a continuous delivery pipeline using Jenkins Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine,
GOOGLE CLOUD PLATFORM FUNDAMENTALS FOR AWS PROFESSIONALS View Schedule What you’ll learn Locate documentation and training. Explain feature and pricing model differences. 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. Manage and monitor
GOOGLE CLOUD FUNDAMENTALS FOR AZURE PROFESSIONALS View Schedule What you’ll learn Manage and monitor applications Identify Google Cloud counterparts for Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake Explain feature and pricing model differences Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing,
GOOGLE CLOUD FUNDAMENTALS: CORE INFRASTRUCTURE View Schedule What you’ll learn 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 Kubernetes Engine,
