We may earn an affiliate commission when you visit our partners.
Vitthal Srinivasan
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/ona197/developing
Here's a deal for you
We found an offer that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
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
Read more
Syllabus
Course Overview
Understanding Developer Tools on the GCP
Using Cloud Datalab for On-cloud Development
Using Cloud Source Repositories for On-cloud Development
Read more
Good to know
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
Save this course
Save Developing on the Google Cloud Using Datalab and Cloud Source Repositories to your list so you can find it easily later:
Save
Save
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
Show steps
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
Show steps
-
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
Show steps
Reinforce your understanding by exploring additional resources and materials provided by Google Cloud, solidifying your knowledge.
Browse courses on
Cloud Source Repositories
Show steps
-
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
Show steps
Deepen your understanding of the practical aspects of Cloud Source Repositories and Cloud Datalab through hands-on practice.
Browse courses on
Cloud Source Repositories
Show steps
-
Find online coding exercises and challenges
-
Complete the exercises to refine your skills
Five other activities
Expand to see all activities and additional details
Show all eight activities
Develop a web application using Cloud Source Repositories and Cloud Datalab
Show steps
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
Show steps
-
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
Show steps
Engage with other learners and industry professionals to exchange knowledge, clarify concepts, and expand your perspectives.
Browse courses on
Cloud Source Repositories
Show steps
-
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
Show steps
Demonstrate your understanding by creating a presentation that effectively communicates the concepts you've learned.
Browse courses on
Cloud Source Repositories
Show steps
-
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
Show steps
Solidify your understanding by writing and sharing your knowledge, reinforcing concepts and clarifying your own thoughts.
Browse courses on
Cloud Source Repositories
Show steps
-
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
Show steps
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
Show steps
-
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
Revisit Google Cloud documentation for Cloud Source Repositories and Cloud Datalab
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
Reinforce your understanding by exploring additional resources and materials provided by Google Cloud, solidifying your knowledge.
Browse courses on
Cloud Source Repositories
Show steps
Show steps
Show steps
- 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
Show steps
Deepen your understanding of the practical aspects of Cloud Source Repositories and Cloud Datalab through hands-on practice.
Browse courses on
Cloud Source Repositories
Show steps
Show steps
Show steps
- Find online coding exercises and challenges
- Complete the exercises to refine your skills
Five other activities
Expand to see all activities and additional details
Show all eight activities
Develop a web application using Cloud Source Repositories and Cloud Datalab
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
Engage with other learners and industry professionals to exchange knowledge, clarify concepts, and expand your perspectives.
Browse courses on
Cloud Source Repositories
Show steps
Show steps
Show steps
- 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
Show steps
Demonstrate your understanding by creating a presentation that effectively communicates the concepts you've learned.
Browse courses on
Cloud Source Repositories
Show steps
Show steps
Show steps
- 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
Show steps
Solidify your understanding by writing and sharing your knowledge, reinforcing concepts and clarifying your own thoughts.
Browse courses on
Cloud Source Repositories
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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 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.
Data Visualization Engineer
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.
Cloud Architect
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.
Data Scientist
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.
Software Engineer
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.
Full-Stack Developer
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.
Systems Engineer
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.
Machine Learning 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.
DevOps 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.
Cloud Security 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.
Database Administrator
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.
Data Engineer
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.
Business Intelligence Analyst
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.
Product Manager
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.
Network Engineer
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.
For more career information including salaries, visit:
OpenCourser.com/course/ona197/developing
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.
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.
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.
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.
Save
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.
Save
Provides a comprehensive overview of big data, including its key principles and best practices. It great resource for anyone who is new to big data and wants to learn more about its capabilities.
Save
Provides a comprehensive overview of machine learning, including its key concepts and algorithms. It great resource for anyone who is new to machine learning and wants to learn more about its capabilities.
Save
Provides a comprehensive overview of deep learning, including its key concepts and algorithms. It great resource for anyone who is new to deep learning and wants to learn more about its capabilities.
Provides a comprehensive overview of artificial intelligence, including its key concepts and algorithms. It great resource for anyone who is new to artificial intelligence and wants to learn more about its capabilities.
Provides a comprehensive overview of statistical learning, including its key concepts and algorithms. It great resource for anyone who is new to statistical learning and wants to learn more about its capabilities.
Provides a comprehensive overview of reinforcement learning, including its key concepts and algorithms. It great resource for anyone who is new to reinforcement learning and wants to learn more about its capabilities.
Save
Provides a comprehensive overview of computer vision, including its key concepts and algorithms. It great resource for anyone who is new to computer vision and wants to learn more about its capabilities.
Provides a comprehensive overview of natural language processing, including its key concepts and algorithms. It great resource for anyone who is new to natural language processing and wants to learn more about its capabilities.
Save
Provides a comprehensive overview of speech and language processing, including its key concepts and algorithms. It great resource for anyone who is new to speech and language processing and wants to learn more about its capabilities.
Provides a comprehensive overview of information retrieval, including its key concepts and algorithms. It great resource for anyone who is new to information retrieval and wants to learn more about its capabilities.
Provides a comprehensive overview of database systems, including their key concepts and architectures. It great resource for anyone who is new to database systems and wants to learn more about their capabilities.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ona197/developing
Share
Similar courses
Here are nine courses similar to
Developing on the Google Cloud Using Datalab and Cloud Source Repositories.
Architecting Deployment Pipelines on GCP
OpenCourser.com/course/srfihk/architecting
Architecting Deployment Pipelines on GCP
Most relevant
Introducing Continuous Integration and Delivery Concepts for DevOps on Oracle Cloud
OpenCourser.com/course/pvmdoz/introducing
Introducing Continuous Integration and Delivery Concepts...
Most relevant
GitHub Fundamentals
OpenCourser.com/course/bizdzq/github
GitHub Fundamentals
Most relevant
Deploy a Hugo Website with Cloud Build and Firebase Pipeline
OpenCourser.com/course/nuiv7n/deploy
Deploy a Hugo Website with Cloud Build and Firebase...
Most relevant
Deploying Applications to Cloud Foundry
OpenCourser.com/course/83lzh2/deploying
Deploying Applications to Cloud Foundry
Most relevant
Architecting Data Warehousing Solutions Using Google BigQuery
OpenCourser.com/course/3divne/architecting
Architecting Data Warehousing Solutions Using Google...
Google Cloud DevOps Fundamentals
OpenCourser.com/course/itvqdf/google
Google Cloud DevOps Fundamentals
Application Analysis with Snyk
OpenCourser.com/course/y8vy8d/application
Application Analysis with Snyk
Analyzing Natality Data Using Vertex AI and BigQuery
OpenCourser.com/course/l85ljy/analyzing
Analyzing Natality Data Using Vertex AI and BigQuery
Time
108 hours
Level
Introductory
Via
Pluralsight
Instructor
Vitthal Srinivasan
Language
English
This course belongs to a
collection
called
Google: Professional Cloud Data Engineer. It's comprised of 18 courses:
- Architecting Big Data Solutions Using Google Dataproc
- Architecting Serverless Big Data Solutions Using Google Dataflow
- Architecting Data Warehousing Solutions Using Google BigQuery
- Building Machine Learning Models in SQL Using BigQuery ML
- Creating and Administering Google Cloud SQL Instances
- Architecting Big Data Solutions Using Google Bigtable
- Designing and Implementing Solutions Using Google Machine Learning APIs
- Designing and Implementing Solutions Using Google Cloud AutoML
- Building Pipelines for Workflow Orchestration Using Google Composer
- Architecting Stream Processing Solutions Using Google Cloud Pub/Sub
- Creating and Administering Google Cloud Spanner Instances
- Architecting Schemaless Scalable NoSQL Databases Using Google Datastore
- Leveraging Fully Managed Redis Datastores Using Google Cloud Memorystore
- Leveraging Google Cloud Firestore for Realtime Database Solutions
- Architecting Scalable Web Applications with Firebase on the Google Cloud Platform
- Developing on the Google Cloud Using Datalab and Cloud Source Repositories (viewing)
- Architecting Production-ready ML Models Using Google Cloud ML Engine
- Designing Scalable Data Architectures on the Google Cloud
Good to know
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
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser