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Getting Started With Application Development

Google Cloud Training

In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.

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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.

Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.

This is the first course of the Developing Applications with Google Cloud series. After completing this course, enroll in the Securing and Integrating Components of your Application course.

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What's inside

Syllabus

Welcome - Developing Applications with Google Cloud
This module introduces the course series and the course structure.
Best Practices for Application Development
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This module introduces best practices for application development.
Getting Started with Google Cloud Development
This module introduces different Google Cloud platforms for hosting applications.
Overview of Data Storage Options
This module introduces the various data storage options available to your applications in Google Cloud.
Best Practices for Using Datastore
This module covers best practices for using Datastore.
Best Practices for Using Cloud Storage
This module covers best practices for using Cloud Storage.
Wrap up
This module reviews the concepts covered in the course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores essential Google Cloud Platform services and APIs for cloud-native application development
Provides hands-on experience through interactive labs in Node.js, Python, and Java
Focuses on best practices for data storage and retrieval in Google Cloud
Taught by instructors from Google Cloud Training, ensuring industry expertise
Serves as a foundational course in a series on developing applications with Google Cloud
Requires no prior knowledge of Google Cloud, making it accessible to beginners

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Reviews summary

Getting started with gcp app development

Learners say that this course on developing apps with Google Cloud is largely positive and effective. It provides engaging assignments and introduces best practices for building applications on Google Cloud Platform (GCP). While some find the content to be too theoretical, others appreciate the hands-on exercises that reinforce the material. The course covers topics such as App Engine, Datastore, Cloud Storage, and Cloud SQL. Overall, students find this course to be a valuable resource for getting started with application development on GCP.
Interactive and helpful
"Great examples and labs."
"Good to have hands on experience"
"I learned to execute an app in cloud."
Suitable for beginners
"Pretty self-explanatory and concise course."
"Good overview. Good demos and labs."
"Right course for getting fundamental knowledge to develop applications on the cloud."
Outdated and repetitive
"The content should be updated, the Java Labs isn't working and there is one Lab class without validation, It was the last one."
"The labs are somewhat repetitive, I don't understand why there is basically the same task in three languages, you could allow one to choose or at least change the assignments."
"it's good but it's a bit tedious to replicate everything in node, java and python."

Career center

Learners who complete Getting Started With Application Development will develop knowledge and skills that may be useful to these careers:
Software Developer
Design and develop software applications that integrate managed services from Google Cloud. This course covers best practices for application development including data storage and analytics. Software Developers may benefit from this course that focuses on Google Cloud.
Cloud Architect
Design, develop, manage, and maintain cloud computing systems and infrastructure. Cloud Architects may benefit from this course to enhance their foundational knowledge of Google Cloud's data storage and analytics services.
Data Analyst
Collect, process, and analyze data to understand business trends and patterns. Data Analysts are responsible for using data to make recommendations and inform decision-making. This course can help build a foundation in using Google Cloud's data storage and analytics services to support data-driven insights and decision-making.
Data Engineer
Design, build, and maintain data pipelines and infrastructure. Data Engineers ensure that data is processed, stored, and analyzed efficiently. This course can be useful in gaining a better understanding of data storage and analytics in Google Cloud.
DevOps Engineer
Develop and implement DevOps practices and tools to automate and streamline software development and delivery processes. DevOps Engineers may find this course helpful to gain a better understanding of data storage and analytics in Google Cloud, which can support efficient and reliable software delivery.
Full-Stack Developer
Develop and maintain software applications across the entire stack, from front-end to back-end. Full Stack Developers may benefit from this course to enhance their knowledge of data storage and analytics in Google Cloud, which can contribute to building more robust and scalable applications.
Site Reliability Engineer
Ensure the reliability, performance, and availability of software systems. Site Reliability Engineers may find this course helpful to understand how to use Google Cloud's data storage and analytics services to monitor and analyze system performance and availability.
Cloud Security Engineer
Design and implement security measures to protect cloud computing systems and data. Cloud Security Engineers may benefit from this course to gain knowledge of data storage and analytics in Google Cloud, which can support the development of secure and compliant cloud solutions.
Database Administrator
Design, manage, and maintain databases. Database Administrators may find this course helpful to understand how to use Google Cloud's data storage and analytics services to manage and optimize databases in a cloud environment.
Data Scientist
Develop and apply statistical and machine learning models to solve business problems. Data Scientists may benefit from this course to enhance their understanding of data storage and analytics in Google Cloud, which can support building and deploying data-driven models and solutions.
Machine Learning Engineer
Develop and deploy machine learning models. Machine Learning Engineers may find this course helpful to understand how to use Google Cloud's data storage and analytics services to manage and process data for machine learning.
Product Manager
Define and manage the development and release of software products. Product Managers may benefit from this course to gain a better understanding of data storage and analytics in Google Cloud, which can support making informed decisions about product features and roadmap.
Information Architect
Design and manage the structure and organization of information systems. Information Architects may benefit from this course to understand how to use Google Cloud's data storage and analytics services to design and implement scalable and efficient information systems.
Business Analyst
Analyze business processes and data to identify areas for improvement and efficiency. Business Analysts may find this course helpful to understand how to use Google Cloud's data storage and analytics services to gather and analyze data for business intelligence and decision-making.
Data Governance Analyst
Develop and implement data governance policies and procedures. Data Governance Analysts may find this course useful to understand how to use Google Cloud's data storage and analytics services to manage and govern data in a cloud environment.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started With Application Development.
Covers the principles and techniques for designing and building data-intensive applications, providing a solid foundation for understanding data storage and management in the context of cloud applications.
Delves into the concepts and best practices of microservice architecture, offering insights into designing, deploying, and managing microservices effectively in cloud environments.
Provides a comprehensive guide to cloud native architectures, focusing on Kubernetes as a key component. It offers practical insights into designing and implementing cloud-native applications using industry best practices and Kubernetes.
Presents principles, practices, and patterns for designing and architecting cloud applications. It offers a structured approach to understanding and applying architectural principles in the context of cloud computing.
Offers an introduction to microservices architecture, discussing the benefits, challenges, and best practices for designing and implementing microservices in a cloud environment.
Provides in-depth coverage of PostGIS, an open-source spatial database extension for PostgreSQL. It offers a practical guide to using PostGIS for storing, managing, and analyzing geospatial data, which can be valuable for developing location-based applications in the cloud.
This cookbook provides practical recipes and solutions for common challenges faced when working with Google Cloud Platform. It offers quick references and code examples for various tasks related to application development, data management, and other aspects of GCP.
This comprehensive textbook provides a broad overview of cloud computing concepts, technologies, and architectures. It serves as a valuable reference for understanding the underlying principles and foundational knowledge relevant to cloud application development.
This classic book provides a comprehensive overview of architectural patterns commonly used in enterprise application development. While not specific to cloud applications, it offers valuable insights into design principles and patterns that can be applied to cloud development.

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