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A Cloud Guru

Welcome to this certification preparation course for the Google Certified Professional Cloud Developer qualification. This course is going to teach you the hands-on skills and knowledge you need to build scalable and reliable cloud-native apps, and to pass the Professional Cloud Developer exam. We'll cover all of the domains of the published exam guide, as well as provide hands-on experience of deploying, managing and troubleshooting applications across the primary platforms of GCP - Compute Engine, Kubernetes Engine, Cloud Functions and Cloud Run. We'll also lookk at application performance monitoring with GCP’s operations suite, as well as the essentials of application security. At the end of this course you will be a competent Cloud Developer, ready to make the most of GCP for your next application, and of course, ready to pass the Professional Cloud Developer exam. To study this course, you should have around a year of experience using Google Cloud Platform. If you have the Associate Cloud Engineer certification or equivalent experience that’s great. You should also be proficient with at least one major programming language, so that you’re able to create your own apps to run in the cloud. This is an exam-prep course, so we’ll cover everything you need to know for the exam, but not dive too deep on each of the exam domains. If you’re looking for some more in-depth learning, check out the deep dive courses available in our Google Cloud Developer learning path instead. But if you’re itching to book that exam and prove your developer prowess, this is the course for you!

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines building, deploying, and managing Cloud applications, which are essential skills for IT roles
Teaches skills for building and managing applications on Google Cloud, which helps learners stand out when seeking employment
Taught by A Cloud Guru, who are known for their expertise in Cloud computing
Recommended for students with a year of experience using Google Cloud Platform, which may not be suitable for beginners

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Google Certified Professional Cloud Developer with these activities:
Read 'Cloud Native Java' by Josh Long
Gain insights and best practices for building cloud-native applications using Java on GCP.
View Spring 6 Recipes on Amazon
Show steps
  • Purchase or borrow the book 'Cloud Native Java'.
  • Read and take notes on key chapters related to GCP.
Review course materials
Review key concepts related to Google Cloud and Cloud Development, such as Compute Engine, Kubernetes Engine, Cloud Functions, and Cloud Run.
Browse courses on Cloud Platform
Show steps
  • Review the course syllabus and module descriptions.
  • Review key terms and concepts from the Google Cloud Platform documentation.
  • Set up a GCP account and explore the platform.
Practice deploying and managing GCP applications
Reinforce understanding of GCP application deployment and management by completing hands-on exercises.
Browse courses on Cloud Deployment
Show steps
  • Deploy a sample application to Compute Engine.
  • Create and manage Kubernetes clusters using Kubernetes Engine.
  • Develop and deploy serverless functions using Cloud Functions.
One other activity
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Show all four activities
Practice troubleshooting GCP applications
Develop troubleshooting skills by working through common issues encountered in GCP application development.
Browse courses on Cloud Troubleshooting
Show steps
  • Set up a development environment with GCP services.
  • Introduce deliberate errors into your applications.
  • Use GCP tools and resources to identify and resolve the errors.

Career center

Learners who complete Google Certified Professional Cloud Developer will develop knowledge and skills that may be useful to these careers:
Cloud Consultant
A Cloud Consultant provides guidance and support to clients on cloud computing adoption and implementation. This course could help you develop expertise in GCP platforms and services, which is essential for advising clients on the best solutions for their cloud journey.
Cloud Architect
A Cloud Architect designs and oversees the implementation of cloud computing solutions. This course could help you develop a comprehensive understanding of GCP platforms and services, which is essential for designing and managing complex cloud architectures.
Cloud Engineer
A Cloud Engineer designs, builds, and manages cloud computing systems, including infrastructure, applications, and data. This course could help you develop valuable skills for deploying and managing applications across GCP platforms, including Compute Engine, Kubernetes Engine, Cloud Functions, and Cloud Run.
Software Engineer
A Software Engineer designs, develops, and maintains computer software, including cloud-based applications. Taking this course could help build a solid foundation in Google Cloud Platform (GCP). Proficiency in GCP can grant you a competitive advantage in the industry.
Site Reliability Engineer
A Site Reliability Engineer ensures the reliability and performance of software systems, including cloud-based applications. This course could help you develop skills in application performance monitoring and troubleshooting, which are critical for maintaining the uptime and stability of cloud-based systems.
Software Development Manager
A Software Development Manager leads and manages software development teams, including cloud-based application development teams. This course could help you develop the skills and knowledge needed to effectively manage GCP projects, including planning, budgeting, and risk management.
Full-Stack Developer
A Full Stack Developer is responsible for both the front-end and back-end development of software applications. This course could help you gain hands-on experience in deploying, managing, and troubleshooting applications across GCP platforms, which is valuable for building scalable and reliable full-stack cloud applications.
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. This course could help you gain hands-on experience in deploying, managing, and troubleshooting applications across GCP platforms, which is valuable for building and deploying machine learning models in the cloud.
DevOps Engineer
A DevOps Engineer collaborates between development and operations teams to improve the efficiency and quality of software delivery. This course could help you understand application performance monitoring with GCP’s operations suite, which is crucial for optimizing application performance and ensuring reliability.
Data Scientist
A Data Scientist uses data analysis and machine learning techniques to extract insights from data. This course could help you gain knowledge in deploying, managing, and troubleshooting applications across GCP platforms, which is valuable for building data science pipelines and managing large-scale data workloads efficiently.
Product Manager
A Product Manager leads the development and launch of new products, including cloud-based software products. This course could help you develop a deeper understanding of GCP platforms and services, which is valuable for understanding the technical capabilities and limitations of cloud-based products.
Data Engineer
A Data Engineer designs and builds data pipelines, manages data storage and processing systems, and ensures data quality. This course could help you gain knowledge in deploying, managing, and troubleshooting applications across GCP platforms, which is essential for handling large-scale data workloads efficiently.
Technical Program Manager
A Technical Program Manager plans, executes, and manages technical programs, including cloud computing projects. This course could help you develop a deeper understanding of GCP platforms and services, which is essential for effectively managing cloud-based technical programs.
Cloud Security Engineer
A Cloud Security Engineer ensures the security of cloud computing systems and data. This course could help you understand the essentials of application security, including best practices for securing cloud-based applications and protecting data from unauthorized access.
Business Analyst
A Business Analyst analyzes business needs and develops solutions, including cloud-based solutions. This course could help you understand the business value of cloud computing and how GCP platforms and services can be used to address business challenges.

Reading list

We've selected 12 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 Google Certified Professional Cloud Developer.
Classic guide to computer science. It provides a comprehensive overview of topics such as algorithms, data structures, and programming languages. It useful reference for computer scientists of all levels.
Classic guide to programming in the UNIX environment. It provides a comprehensive overview of topics such as system calls, I/O, and networking. It useful reference for software developers who need to work with UNIX systems.
Practical guide to writing clean and maintainable code. It provides a comprehensive overview of coding best practices and how to use them to write code that is easy to read, understand, and maintain.
Comprehensive textbook on algorithms and data structures. It provides a comprehensive overview of the most common algorithms and data structures and how to use them to solve real-world problems.
Practical guide to using Kubernetes to manage containerized applications. It provides a comprehensive overview of the Kubernetes architecture and how to use it to deploy and manage applications in a production environment.
Practical guide to implementing site reliability engineering practices in software development organizations. It provides a comprehensive overview of SRE principles and how to use them to improve the reliability and availability of software systems.
Practical guide to design patterns. It provides a comprehensive overview of the most common design patterns and how to use them to solve real-world problems.
Great reference for understanding the design principles and patterns used in building data-intensive applications. It provides a comprehensive overview of various data storage and processing technologies.
Provides a comprehensive overview of algorithms and data structures. It useful reference for understanding the fundamentals of algorithms and how to apply them to solve real-world problems.
Provides a comprehensive overview of cloud computing concepts, technologies, and architectures. It useful reference for understanding the fundamentals of cloud computing and how it can be used to build scalable and reliable applications.
Practical guide to implementing DevOps practices in software development organizations. It provides a step-by-step approach to improving collaboration, communication, and automation between development and operations teams.

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