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Developing on the Google Cloud Using Datalab and Cloud Source Repositories

In this course, you'll gain an understanding of how to begin consolidating your code, compute, and data all together in a Google Cloud Platform environment using a variety of developer tools combined with GCP services you're already familiar with.

At the core of cloud development is a thorough knowledge of Cloud Source Repositories. In this course, Developing on the Google Cloud Using Datalab and Cloud Source Repositories, you’ll learn how to use developer tools on the Google cloud. First, you’ll learn the features that these products offer and see how easily they can integrate with other GCP services. Next, you’ll explore the suite of developer tools that you can work with on the Google Cloud and how to pick the best tool for your use case. Finally, you’ll discover how to create your Cloud Datalab instance for data exploration and visualization. When you’re finished with this course, you’ll have a foundational knowledge of Google Cloud Source Repositories which will help you as you move forward in bringing your code, compute, and data all together on one platform.

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What's inside

Syllabus

Course Overview

Understanding Developer Tools on the GCP

Using Cloud Datalab for On-cloud Development

Using Cloud Source Repositories for On-cloud Development

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Deepens skills critical to the field of Computer Science

Taught by recognized expert Vitthal Srinivasan

Covers highly relevant topics such as Cloud Source Repositories

Builds a foundation of core skills in Google Cloud

Taught with Datalab for data processing

This course has no known caveats or dealbreakers

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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 Developing on the Google Cloud Using Datalab and Cloud Source Repositories with these activities:

Revisit Google Cloud documentation for Cloud Source Repositories and Cloud Datalab

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Ensure a strong foundation by reviewing key concepts and materials before the course begins, setting the stage for successful learning.

Browse courses on Cloud Source Repositories

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Review documentation for both Cloud Source Repositories and Cloud Datalab
Take notes and highlight important information

Follow Google Cloud tutorials and documentations related to Cloud Source Repositories and Cloud Datalab

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Reinforce your understanding by exploring additional resources and materials provided by Google Cloud, solidifying your knowledge.

Browse courses on Cloud Source Repositories

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Find relevant tutorials and documentation for Cloud Source Repositories and Cloud Datalab
Complete the tutorials to expand your knowledge and skills

Complete coding exercises and challenges related to Cloud Source Repositories and Cloud Datalab

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Deepen your understanding of the practical aspects of Cloud Source Repositories and Cloud Datalab through hands-on practice.

Browse courses on Cloud Source Repositories

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Find online coding exercises and challenges
Complete the exercises to refine your skills

Five other activities

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Develop a web application using Cloud Source Repositories and Cloud Datalab

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Create a web application to apply your knowledge of Cloud Source Repositories and Cloud Datalab, reinforcing concepts and solidifying skills.

Browse courses on Cloud Source Repositories

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Create a Cloud Source Repositories and Cloud Datalab instance
Develop a web application using your preferred framework
Integrate Cloud Source Repositories and Cloud Datalab into your project
Deploy your web application to the cloud

Join a study group or online community focused on Cloud Source Repositories and Cloud Datalab

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Engage with other learners and industry professionals to exchange knowledge, clarify concepts, and expand your perspectives.

Browse courses on Cloud Source Repositories

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Identify online communities or study groups
Join the community and actively participate in discussions
Share your knowledge and experiences with others

Create a presentation on the benefits and use cases of Cloud Source Repositories and Cloud Datalab

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Demonstrate your understanding by creating a presentation that effectively communicates the concepts you've learned.

Browse courses on Cloud Source Repositories

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Gather information and research use cases
Outline and structure your presentation
Create visual aids and supporting materials
Practice and refine your presentation

Write a blog or article sharing your experiences and insights on Cloud Source Repositories and Cloud Datalab

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Solidify your understanding by writing and sharing your knowledge, reinforcing concepts and clarifying your own thoughts.

Browse courses on Cloud Source Repositories

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Choose a topic and outline your article
Write and revise your content
Publish your article and promote it

Contribute to open source projects related to Cloud Source Repositories or Cloud Datalab

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Apply your skills and knowledge by contributing to real-world projects, enhancing your understanding and making a tangible contribution.

Browse courses on Cloud Source Repositories

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Find open source projects related to Cloud Source Repositories or Cloud Datalab
Review the project's documentation and codebase
Identify areas where you can contribute
Make your contributions and submit pull requests

Career center

Learners who complete Developing on the Google Cloud Using Datalab and Cloud Source Repositories will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts use their analytical skills to interpret and present data in a meaningful way. The course Developing on the Google Cloud Using Datalab and Cloud Source Repositories can be a valuable asset to Data Analysts as it provides a comprehensive overview of Google Cloud's developer tools. With this knowledge, individuals can effectively explore, analyze, and visualize data on a scalable platform, empowering them to deliver actionable insights and drive data-informed decision-making.

See salaries and explore the career path for Data Analyst

Data Visualization Engineer

Data Visualization Engineers specialize in transforming data into visually appealing and informative representations. Developing on the Google Cloud Using Datalab and Cloud Source Repositories can be a valuable course for Data Visualization Engineers as it provides a comprehensive overview of Google Cloud's developer tools. With this knowledge, individuals can leverage these tools to create interactive and engaging data visualizations, enabling effective communication of insights and driving informed decision-making.

See salaries and explore the career path for Data Visualization Engineer

Cloud Architect

Cloud Architects play a crucial role in designing, implementing, and managing cloud-based solutions. The course Developing on the Google Cloud Using Datalab and Cloud Source Repositories can be beneficial for Cloud Architects as it deepens their understanding of Google Cloud's developer tools. This knowledge is essential for designing and managing secure, scalable, and cost-effective cloud architectures that meet the evolving needs of organizations.

See salaries and explore the career path for Cloud Architect

Data Scientist

Data Scientists leverage their knowledge of statistical models, machine learning, and data analysis techniques to extract meaningful insights from complex data. This course, Developing on the Google Cloud Using Datalab and Cloud Source Repositories, can be a valuable asset to Data Scientists as it deepens their understanding of Google Cloud's developer tools, enabling them to seamlessly manage and analyze data on a scalable platform. The integration of Cloud Datalab and Cloud Source Repositories empowers Data Scientists to streamline their data exploration and visualization processes, fostering effective decision-making and innovation.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers specialize in designing, developing, and maintaining software applications. Taking the course Developing on the Google Cloud Using Datalab and Cloud Source Repositories can be advantageous for Software Engineers as it enhances their proficiency in using Google Cloud's developer tools. By gaining hands-on experience with these tools, individuals can strengthen their ability to implement optimal software solutions on the cloud, maximizing scalability, performance, and security.

See salaries and explore the career path for Software Engineer

Full-Stack Developer

Full Stack Developers possess expertise in both front-end and back-end development. This course, Developing on the Google Cloud Using Datalab and Cloud Source Repositories, can be beneficial for Full Stack Developers as it enhances their understanding of Google Cloud's developer tools. By gaining proficiency in these tools, individuals can seamlessly manage the entire software development lifecycle, from designing and implementing user interfaces to integrating with back-end services and databases.

See salaries and explore the career path for Full-Stack Developer

Systems Engineer

Systems Engineers design, implement, and maintain complex technical systems. This course, Developing on the Google Cloud Using Datalab and Cloud Source Repositories, can be beneficial for Systems Engineers as it enhances their understanding of Google Cloud's developer tools. With a solid grasp of these tools, individuals can effectively manage and optimize cloud-based systems, ensuring scalability, reliability, and high performance.

See salaries and explore the career path for Systems Engineer

Machine Learning Engineer

Machine Learning Engineers specialize in developing and deploying machine learning models. This course, Developing on the Google Cloud Using Datalab and Cloud Source Repositories, can be beneficial for Machine Learning Engineers as it provides a comprehensive overview of Google Cloud's developer tools. With a solid grasp of these tools, individuals can effectively train, evaluate, and deploy machine learning models on a scalable platform, enabling them to contribute to innovative and data-driven solutions.

See salaries and explore the career path for Machine Learning Engineer

DevOps Engineer

DevOps Engineers bridge the gap between development and operations teams. This course, Developing on the Google Cloud Using Datalab and Cloud Source Repositories, can be beneficial for DevOps Engineers as it enhances their understanding of Google Cloud's developer tools. With a solid grasp of these tools, individuals can automate and streamline software development and deployment processes, ensuring efficient collaboration and seamless delivery of high-quality software products.

See salaries and explore the career path for DevOps Engineer

Cloud Security Engineer

Cloud Security Engineers specialize in securing cloud-based systems and data. This course, Developing on the Google Cloud Using Datalab and Cloud Source Repositories, can be beneficial for Cloud Security Engineers as it enhances their understanding of Google Cloud's developer tools. With a solid grasp of these tools, individuals can effectively implement and manage security measures, protect data from breaches and unauthorized access, and ensure compliance with security regulations.

See salaries and explore the career path for Cloud Security Engineer

Database Administrator

Database Administrators ensure the performance, reliability, and security of database systems. The course Developing on the Google Cloud Using Datalab and Cloud Source Repositories can be a useful resource for Database Administrators as it provides a comprehensive overview of Google Cloud's developer tools. With this knowledge, individuals can effectively manage and optimize database systems on a scalable platform, ensuring the availability and integrity of critical data.

See salaries and explore the career path for Database Administrator

Data Engineer

Data Engineers use their technical skills to build systems and tools that analyze large volumes of data and provide insightful information to organizations. Developing on the Google Cloud Using Datalab and Cloud Source Repositories can be a useful course for Data Engineers as it provides a comprehensive overview of how to utilize Google Cloud's developer tools effectively. With this foundational knowledge, individuals will be better equipped to manage code, compute, and data on a single platform for efficient data engineering pipelines and software solutions.

See salaries and explore the career path for Data Engineer

Business Intelligence Analyst

Business Intelligence Analysts leverage data to identify trends, patterns, and insights that inform strategic decision-making. The course Developing on the Google Cloud Using Datalab and Cloud Source Repositories can be a useful resource for Business Intelligence Analysts as it enhances their understanding of Google Cloud's developer tools. By gaining proficiency in these tools, individuals can efficiently gather, analyze, and interpret data, enabling them to provide valuable insights and support data-driven decision-making within organizations.

See salaries and explore the career path for Business Intelligence Analyst

Product Manager

Product Managers are responsible for defining, developing, and launching products that meet customer needs. The course Developing on the Google Cloud Using Datalab and Cloud Source Repositories can be a valuable resource for Product Managers as it provides a comprehensive overview of Google Cloud's developer tools. With this knowledge, individuals can effectively utilize Google Cloud's platform to build and deliver innovative products that leverage the latest technologies and meet the evolving demands of the market.

See salaries and explore the career path for Product Manager

Network Engineer

Network Engineers design, implement, and manage computer networks. The course Developing on the Google Cloud Using Datalab and Cloud Source Repositories may be useful for Network Engineers as it provides a comprehensive overview of Google Cloud's developer tools. With this knowledge, individuals can leverage Google Cloud's platform to build and manage scalable and secure network infrastructures, enabling seamless communication and data transfer within organizations.

See salaries and explore the career path for Network Engineer

Reading list

We've selected 15 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 Developing on the Google Cloud Using Datalab and Cloud Source Repositories.

Google Cloud Certified Associate Cloud Engineer...

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Provides a comprehensive overview of the Google Cloud Platform, including its key services and how to use them. It great resource for anyone who is new to the Google Cloud Platform and wants to learn more about its capabilities.

Google Cloud Certified Associate Cloud Engineer...

Paperback

Google Cloud Certified Associate Cloud Engineer...

Kindle Edition

Data Science on the Google Cloud Platform

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Provides a practical guide to using the Google Cloud Platform for data science, including how to use its machine learning and big data tools. It valuable resource for anyone who is interested in using the Google Cloud Platform for data science.

Data Science on the Google Cloud Platform

Paperback

Check price

Data Science on the Google Cloud Platform

Kindle Edition

Check price

Version Control with Git

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Provides a comprehensive guide to using Git, the version control system used by Cloud Source Repositories. It valuable resource for anyone who is new to Git and wants to learn more about its capabilities.

Version Control with Git: Powerful tools and...

Paperback

Cloud Computing

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Provides a comprehensive overview of cloud computing, including its key concepts, technologies, and architectures. It great resource for anyone who is new to cloud computing and wants to learn more about its capabilities.

Developing on the Google Cloud Using Datalab and Cloud Source Repositories

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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