Training and Certification

Meet-ups, Training, Certification

Part of Kasna’s commitment to Google Cloud is to creating a community of Google experts.  At the core of this is our enhanced training program that extends the Google Certification modules and provides real-life experience and insight to accelerate your learning and career.

Because Kasna benefits from the open source and meetup culture within Australia, giving back to the community is a critical activity for us. Kasna contributes back to the community by hosting meetups, brown-bags sessions and sponsors vendor-independent events, all to expand the dialog and advance the industry.

CourseDescriptionTarget AudienceFormatLengthSkill Level
Kubernetes In Seven StepsUsing hands-on labs, demos and presentations, this course will introduce Kubernetes core concepts, deployment and administration of Kubernetes and the usage of the Google GKE service.

This course will cover seven key learning steps:
● Getting started with Kubernetes
● Hello Kubernetes with GKE
● Building a complex cluster
● Monitoring and health checks
● Persistence and databases
● Security and access control
● CI / CD solutions

This course assumes that the participant has some exposure to Google or Cloud technologies and can work with the command line, git and other development tools.
● Cloud Solutions
Architects, DevOps
● Software engineers
Classroom2 daysAdvanced
API development with IstioDesigned for API developers, this is a hands-on introduction to the Istio service mesh, its key concepts, development model and extensions. The course will take a web application and supporting APIs that “work on my machine” and make them production ready using Istio. This course assumes that the API developer has a basic working knowledge of Kubernetes, are familiar with interacting with Kubernetes via kubectl, and can author and deploy standard Kubernetes resources such as Deployment, Service and Ingress.● Software Developers
● API Developers
Classroom2 daysAdvanced
Machine Learning for Software EngineersIntroduces 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.
● Cloud Solutions
● DevOps Engineers
Classroom1 dayFundamentals
GCP BigData and Machine LearningThis 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.
● Data Engineers and
● Business Analysts
Classroom1 dayFundamentals
solutions for
In this course, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.

This course teaches participants the following skills:
● Use best practices for application development.
● Choose the appropriate data storage option for application data.
● Implement federated identity management.
● Develop loosely coupled application components or microservices.
● Integrate application components and data sources.
● Debug, trace, and monitor applications.
● Perform repeatable deployments with containers and deployment services.
● 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 Flex.
● Application DevelopersClassroom2 daysAdvanced

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