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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will authenticate to App services, query Atlas data with GraphQL, deploy an Angular application to Google Cloud Run and integrate the Google Cloud Natural Langauge API.

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Syllabus

MongoDB Atlas with Natural Language API and Cloud Run

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops Full-Stack Cloud Computing Skills by integrating MongoDB, Google Cloud Run, and Language API
The course is self-paced and facilitated through labs and interactive exercises
Ideal for developers and engineers seeking to enhance their cloud computing skills

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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 MongoDB Atlas with Natural Language API and Cloud Run with these activities:
Learn about Cloud Run
Deepen your understanding of Google Cloud Run by following tutorials that cover its key concepts and features.
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  • Read the official documentation
  • Watch video tutorials
Complete the Google Cloud Training tutorials
Go through the official Google Cloud Training tutorials to enhance your knowledge of the MongoDB Atlas, Google Cloud Natural Language API, and Angular.
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  • Access the Google Cloud Training tutorials
  • Follow the instructions to set up your environment
  • Complete the hands-on exercises
Join a study group
Collaborate with other learners to discuss course material, clarify concepts, and share insights to enhance your understanding.
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  • Find a study group or create your own
  • Set regular meeting times
Five other activities
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Show all eight activities
Practice with GraphQL queries
Practice querying MongoDB Atlas data using GraphQL to strengthen your understanding of data retrieval techniques.
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  • Create a GraphQL schema
  • Write GraphQL queries to fetch data
Deploy an Angular application
Deploy an Angular application using Google Cloud Run to gain practical experience with building and hosting web applications.
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  • Create an Angular project
  • Configure Cloud Run deployment
  • Deploy the application
Enhance the sample application
Expand the provided application by adding features that utilize more of the covered technologies to reinforce your learning.
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  • Identify areas for improvement
  • Design and implement the enhancements
Contribute to open-source projects
Contribute to open-source projects in the course's technology stack to gain practical experience and showcase your skills.
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  • Identify projects related to the course topics
  • Review the project documentation
  • Fix bugs or add features
Mentor junior learners
Share your knowledge and skills by mentoring junior learners who are starting their journey in the course's subject matter.
Show steps
  • Sign up as a mentor on relevant platforms
  • Answer questions and provide guidance to mentees

Career center

Learners who complete MongoDB Atlas with Natural Language API and Cloud Run will develop knowledge and skills that may be useful to these careers:
Software Developer
Software Developers design, create, and improve computer software. This course may be useful for a Software Developer, as it provides experience working with MongoDB Atlas, Natural Language API, and Cloud Run. Experience with these tools can help a Software Developer build better and more efficient software applications.
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course may be useful for a Data Analyst, as it provides experience working with MongoDB Atlas, Natural Language API, and Cloud Run. Experience with these tools can help a Data Analyst more efficiently collect, clean, and analyze data.
Cloud Architect
Cloud Architects design, build, and manage cloud computing systems. This course may be useful for a Cloud Architect, as it provides experience working with MongoDB Atlas, Natural Language API, and Cloud Run. Experience with these tools can help a Cloud Architect build and manage more efficient and scalable cloud computing systems.
Cloud Engineer
Cloud Engineers design, build, and maintain cloud computing systems. This course may be useful for a Cloud Engineer, as it provides experience working with MongoDB Atlas, Natural Language API, and Cloud Run. Experience with these tools can help a Cloud Engineer build and maintain more efficient and scalable cloud computing systems.
Database Administrator
Database Administrators manage and maintain databases. This course may be useful for a Database Administrator, as it provides experience working with MongoDB Atlas. Experience with MongoDB Atlas can help a Database Administrator more efficiently manage and maintain databases.
Data Scientist
Data Scientists use data to solve business problems. This course may be useful for a Data Scientist, as it provides experience working with Natural Language API. Experience with Natural Language API can help a Data Scientist more efficiently solve business problems using data.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access. This course may be useful for an Information Security Analyst, as it provides experience working with Cloud Run. Experience with Cloud Run can help an Information Security Analyst more efficiently protect computer systems and networks from unauthorized access.
Systems Administrator
Systems Administrators manage and maintain computer systems and networks. This course may be useful for a Systems Administrator, as it provides experience working with MongoDB Atlas, Natural Language API, and Cloud Run. Experience with these tools can help a Systems Administrator more efficiently manage and maintain computer systems and networks.
Web Developer
Web Developers design and develop websites. This course may be useful for a Web Developer, as it provides experience working with Angular and Cloud Run. Experience with these tools can help a Web Developer build and deploy more efficient and scalable websites.
Network Administrator
Network Administrators manage and maintain computer networks. This course may be useful for a Network Administrator, as it provides experience working with Cloud Run. Experience with Cloud Run can help a Network Administrator more efficiently manage and maintain computer networks.
Product Manager
Product Managers develop and manage products. This course may be useful for a Product Manager, as it provides experience working with MongoDB Atlas, Natural Language API, and Cloud Run. Experience with these tools can help a Product Manager more efficiently develop and manage products.
Business Analyst
Business Analysts analyze business processes and identify opportunities for improvement. This course may be useful for a Business Analyst, as it provides experience working with MongoDB Atlas, Natural Language API, and Cloud Run. Experience with these tools can help a Business Analyst more efficiently analyze business processes and identify opportunities for improvement.
Data Engineer
Data Engineers design and build data pipelines to move data from one system to another. This course may be useful for a Data Engineer, as it provides experience working with MongoDB Atlas and Cloud Run. Experience with these tools can help a Data Engineer more efficiently design and build data pipelines to move data from one system to another.
IT Manager
IT Managers manage and direct IT operations within an organization. This course may be useful for an IT Manager, as it provides experience working with MongoDB Atlas, Natural Language API, and Cloud Run. Experience with these tools can help an IT Manager more efficiently manage and direct IT operations.
Security Engineer
Security Engineers design and implement security measures to protect computer systems and networks. This course may be useful for a Security Engineer, as it provides experience working with Cloud Run. Experience with Cloud Run can help a Security Engineer more efficiently design and implement security measures to protect computer systems and networks.

Reading list

We've selected six 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 MongoDB Atlas with Natural Language API and Cloud Run.
A comprehensive textbook on natural language processing, covering both theoretical foundations and practical applications. Serves as a valuable reference for those interested in a deeper understanding of the field.
Introduces the fundamentals of natural language processing and provides hands-on experience with Python libraries. Offers a solid foundation for integrating the Google Cloud Natural Language API.
A comprehensive overview of natural language understanding, covering machine learning techniques, applications, and challenges. Provides a deeper understanding of the underlying concepts behind natural language processing.
Provides a practical guide to deploying and managing serverless applications on Google Cloud Run. Offers valuable insights for those new to the platform.
A comprehensive guide to using the Natural Language Toolkit (NLTK) for natural language processing tasks in Python. Provides a deeper understanding of the underlying techniques.
A comprehensive introduction to GraphQL, covering its syntax, schema design, and implementation. Provides a solid understanding of the technology used in the course.

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