Training schedule
IN-COMPANY TRAINING PROGRAMS
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This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, implement, deploy, secure, manage, and scale new (greenfield) and existing (brownfield) applications on Google Cloud using Cloud Run.
This training is for you if…
you have:
- Familiarity with Linux commands and command line interface.
- Basic understanding of Google Cloud.
- Basic understanding of networking.
- Basic understanding of one or more programming languages like Go, Python, Java, Ruby, or Node.js.
- Basic understanding of shell scripts, YAML, JSON, HTTP, and TLS.
This training is not for you if…
are:
- Not familiar with programming languages like Go, Python, Java, Ruby, or Node.js.
- Not familiar with shell scripts, YAML, JSON, HTTP, and TLS.
- Not familiar with Google Cloud
Clients we've helped
What you'll learn
- Gain detailed understanding of Cloud Run, Google Cloud’s fully managed compute platform for deploying and scaling containerized applications quickly and securely.
- Write and migrate code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more).
- Secure service to service communication based on service identities and grant applications only the permissions they need.
- Learn how to build highly available applications with low end-user latency, globally.
- Learn how to connect to, and persist data in the managed database offerings on Google Cloud.
- Understand how abstracting away all infrastructure management creates a simple developer experience.
The schedule
Module 1: Introducing Application Development with Cloud Run
Module 2: Understanding Cloud Run
Module 3: Building Container Images
Module 4: Building Container Images
Module 5: Configuring Service Identity and Authorization
Module 6: Serving Requests
Module 7: Using Inbound and Outbound Access Control
Module 8: Persisting Data
Module 9: Implementing Service-to-Service Communication
Module 10: Orchestrating and Automating Serverless Workflows
You can sign up to Google Kubernetes Engine training within the learning journey. If you completed this, you could study for the Professional Cloud Developer Exam.
Google Cloud training: Application Development with Google Cloud Run
Structured, to-the-point, good combination of theory and practical examples, very knowledgeable trainer who can explain concepts very well
It was a hands-on and tangible course. We could apply what we learned in a matter of minutes. The trainer did a great job of answering ad-hoc questions that complemented the material. We appreciated the fact that we could apply what we were taught directly to our company.
I liked every aspect of this training and would like to thank the trainers. They did an excellent job of explaining how to use Spark for data science. This is the fourth GoDataDriven training I’ve followed. All were great, but this was the best one so far.
Climbing a steep Python and Machine Learning curve in three days. This would have taken me months on my own.