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Taught by Meta Staff
Learn about the different tools and systems involved in cloud computing and dev ops. Explore popular cloud solutions and the benefits to cloud computing along with the core cloud architecture concepts and approaches. You’ll also learn about the pipelines,...
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Learn about the different tools and systems involved in cloud computing and dev ops. Explore popular cloud solutions and the benefits to cloud computing along with the core cloud architecture concepts and approaches. You’ll also learn about the pipelines, integration techniques and workflows involved in dev ops. You’ll understand the methods and tools involved in delivery and deployment. Plus, you’ll learn about the core concepts that underpin the use of containers such as Docker and Kubernetes and how they are used. Finally, discover how all the different dev ops principles come together to form the practice of site reliability engineering.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces concepts and approaches in cloud computing that are standard in industry
Taught by Meta Staff who are recognized for their work in cloud computing
Covers pipelines, integration techniques, and workflows involved in dev ops
Develops the methods and tools involved in delivery and deployment in dev ops
Students who take this course will enhance their skills with containers such as Docker and Kubernetes
Builds a strong foundation for site reliability engineering

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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 Cloud Computing with these activities:
Review prerequisite knowledge on system architecture.
Refresh your understanding of system architecture principles to strengthen your foundation for cloud computing concepts.
Browse courses on System Architecture
Show steps
  • Review notes and past coursework on system architecture.
  • Practice drawing system architecture diagrams.
  • Complete online exercises or quizzes on system architecture.
Read "Cloud Computing: Principles and Practice" by Judith Hurwitz and Marcia Kaufman.
Gain a comprehensive understanding of cloud computing principles and practices from a highly regarded textbook.
Show steps
  • Read chapters relevant to the course topics.
  • Take notes and highlight key concepts.
  • Complete end-of-chapter exercises and review questions.
Explore cloud solutions providers and offerings.
Familiarize yourself with the major cloud providers and their offerings to gain a comprehensive understanding of the cloud landscape.
Browse courses on Cloud Providers
Show steps
  • Visit websites of cloud providers (e.g., AWS, Azure, GCP).
  • Read documentation and white papers on cloud solutions.
  • Watch video tutorials on cloud services.
Three other activities
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Show all six activities
Set up a personal cloud environment for experimentation and practice.
Create a personal cloud environment to experiment with cloud services, test configurations, and practice hands-on skills.
Browse courses on Cloud Development
Show steps
  • Choose a cloud provider and create an account.
  • Set up virtual machines or containers.
  • Install necessary tools and software.
  • Configure networking, security, and storage.
  • Experiment with different cloud services.
Practice implementing devops pipelines and workflows.
Enhance your practical skills by practicing the implementation of devops pipelines and workflows, fostering hands-on experience.
Browse courses on CI/CD Pipelines
Show steps
  • Set up a basic devops pipeline using tools like Jenkins or GitHub Actions.
  • Automate build, test, and deployment processes.
  • Monitor and troubleshoot pipeline executions.
Design and implement a devops project.
Apply your knowledge and skills to design and implement a devops project, demonstrating your ability to integrate cloud computing and devops principles.
Show steps
  • Define project requirements and goals.
  • Design system architecture and devops pipeline.
  • Implement cloud infrastructure and services.
  • Set up monitoring and alerting systems.
  • Deploy and manage the project in a production environment.

Career center

Learners who complete Cloud Computing will develop knowledge and skills that may be useful to these careers:
Cloud AI Engineer
A Cloud AI Engineer is responsible for implementing and managing AI/ML solutions for cloud computing systems. This course would be helpful for someone in this role because it provides an overview of cloud computing concepts and technologies with an emphasis on AI/ML. Additionally, the course covers topics such as cloud machine learning and cloud deep learning, which are essential for modern cloud AI engineers.
Cloud Security Architect
A Cloud Security Architect is responsible for designing and implementing security measures for cloud computing systems. This course would be helpful for someone in this role because it provides an overview of cloud computing concepts and technologies with an emphasis on security. Additionally, the course covers topics such as cloud security best practices and cloud security tools, which are essential for modern cloud security architects.
Cloud Data Architect
A Cloud Data Architect is responsible for designing and implementing data management solutions for cloud computing systems. This course would be helpful for someone in this role because it provides an overview of cloud computing concepts and technologies with an emphasis on data management. Additionally, the course covers topics such as cloud data warehousing and cloud data analytics, which are essential for modern cloud data architects.
Cloud DevOps Engineer
A Cloud DevOps Engineer is responsible for implementing and managing DevOps practices for cloud computing systems. This course would be helpful for someone in this role because it provides an overview of cloud computing concepts and technologies with an emphasis on DevOps. Additionally, the course covers topics such as cloud CI/CD and cloud automation, which are essential for modern cloud DevOps engineers.
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. This course can help someone in this role develop the skills and knowledge necessary to implement DevOps practices. Additionally, the course covers topics such as continuous integration and continuous delivery, which are essential for modern DevOps engineers.
Cloud Security Engineer
A Cloud Security Engineer is responsible for implementing and managing security measures for cloud computing systems. This course would be helpful for someone in this role because it provides an overview of cloud computing concepts and technologies with an emphasis on security. Additionally, the course covers topics such as cloud security best practices and cloud security tools, which are essential for modern cloud security engineers.
Cloud Engineer
A Cloud Engineer is responsible for the implementation and maintenance of cloud computing systems. This course would be helpful for someone in this role because it provides hands-on experience with cloud technologies and tools. Additionally, the course covers topics such as DevOps and containerization, which are essential for modern cloud engineers.
Cloud Architect
A Cloud Architect designs, builds, and manages cloud computing systems. This course may be useful for someone in this role because it provides a comprehensive overview of cloud computing concepts and technologies. Additionally, the course covers topics such as DevOps and containerization, which are essential for modern cloud architects.
Site Reliability Engineer
A Site Reliability Engineer is responsible for ensuring the reliability and performance of cloud computing systems. This course may be useful for someone in this role because it provides an overview of the principles and practices of site reliability engineering. Additionally, the course covers topics such as monitoring, alerting, and incident response, which are essential for modern site reliability engineers.
Software Engineer
A Software Engineer is responsible for designing, developing, and testing software applications. This course would be helpful for someone in this role because it provides an overview of cloud computing concepts and technologies. Additionally, the course covers topics such as DevOps and containerization, which are essential for modern software engineers.
Data Engineer
A Data Engineer is responsible for designing, building, and managing data pipelines. This course would be helpful for someone in this role because it provides an overview of cloud computing concepts and technologies. Additionally, the course covers topics such as data integration and data warehousing, which are essential for modern data engineers.
Network Engineer
A Network Engineer is responsible for designing, building, and maintaining computer networks. This course would be helpful for someone in this role because it provides an overview of cloud computing concepts and technologies. Additionally, the course covers topics such as network security and network performance, which are essential for modern network engineers.
Security Engineer
A Security Engineer is responsible for protecting computer systems from unauthorized access and attacks. This course would be helpful for someone in this role because it provides an overview of cloud computing concepts and technologies. Additionally, the course covers topics such as cybersecurity and risk management, which are essential for modern security engineers.
Data Scientist
A Data Scientist is responsible for using data to solve business problems. This course would be helpful for someone in this role because it provides an overview of cloud computing concepts and technologies. Additionally, the course covers topics such as machine learning and artificial intelligence, which are essential for modern data scientists.
Systems Engineer
A Systems Engineer is responsible for designing, building, and maintaining complex systems. This course would be helpful for someone in this role because it provides an overview of cloud computing concepts and technologies. Additionally, the course covers topics such as DevOps and containerization, which are essential for modern systems engineers.

Reading list

We've selected ten 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 Cloud Computing.
Provides a comprehensive overview of cloud computing concepts, technologies, and architectures, making it a valuable resource for anyone looking to gain a deeper understanding of the subject. It covers various cloud computing models, services, and deployment strategies.
Provides a comprehensive overview of cloud computing, covering topics such as cloud architectures, virtualization, and big data. It valuable resource for students, researchers, and professionals who want to gain a deep understanding of cloud computing.
Provides a theoretical and practical exploration of cloud computing, covering topics such as virtualization, service-oriented architecture, and cloud security. It valuable resource for researchers and professionals who want to understand the underlying principles of cloud computing.
Provides a comprehensive guide to implementing DevOps practices in organizations. It covers topics such as cultural change, continuous delivery, and performance improvement.
Provides a theoretical foundation for cloud computing, covering topics such as cloud architectures, resource management, and security. It valuable resource for those seeking a deeper understanding of the underlying principles of cloud computing.
Provides insights into the practices and principles of site reliability engineering (SRE) at Google. It covers topics such as monitoring, incident response, and capacity planning.
Provides a practical guide to cloud computing, covering topics such as cloud deployment models, service offerings, and security considerations. It is suitable for both technical and business professionals who want to understand and use cloud computing.
Presents research-based insights into the benefits and practices of lean software development and DevOps. It provides valuable guidance for teams looking to improve their software delivery processes and achieve better outcomes.
Provides a hands-on guide to using Docker for containerizing applications and deploying them in the cloud. It covers topics such as Docker image creation, container management, and orchestration using Kubernetes.
Provides an accessible introduction to cloud computing, covering topics such as cloud basics, service models, and deployment options. It is suitable for beginners and those new to cloud computing.

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