Make a Career in Cloud Computing with this Google Program
08 June 2023
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Course Overview
Google Cloud Fundamentals and Infrastructure Course provide an introduction to cloud computing and its fundamental principles. It helps learners gain a good understanding of cloud computing, its benefits, and its different use cases. It also teaches how to use Google Cloud Platform’s (GCP’s) products and services to build cloud-based applications. It will help you get more opportunities with cloud adoption in this digital age.
This course covers several computing, storage, and networking services offered by GCP to develop scalable applications, which is an essential aspect of building modern web applications. Learners get hands-on experience by using the GCP console to create and manage various GCP resources. The course also includes labs that allow students to practice creating and managing virtual machines, deploying containerized applications, and running serverless applications. This course is highly valuable for a cloud computing career.
The instructors were subject matter experts who possessed in-depth knowledge and experience in their fields of study. Their discourses are engaging, informative, and accessible to learners of all backgrounds and experience levels. Instructors use videos, animations, quizzes, discussion forums, hands-on lab practices and other interactive tools to keep learners engaged and motivated. They also provide regular feedback and support to help learners succeed in their studies.
"This program covers foundational concepts and practical skills related to Google Cloud Platform (GCP), enabling learners to be industry-ready."
- Mahima Churi
Course Structure
This course is designed to introduce learners to the basics of Google Cloud Platform (GCP) and its core infrastructure components. Here are some of the key takeaways and learning insights from the course that will help you pursue a career in cloud technology:
- Introduction to Google Cloud Platform (GCP)
The course provides an introduction to GCP, its products, and services. Learners get to understand the different categories of GCP services, such as Compute, Storage, Networking, and Big Data.
- Computing Services
The course delves into the various computing services that GCP offers, such as Compute Engine, Kubernetes Engine, and App Engine. Learners get to understand how to create and manage virtual machines, deploy containerized applications, and run serverless applications.
- Storage Services
The course explores GCP's storage services, such as Cloud Storage, Cloud SQL, and Cloud Bigtable. Learners get to understand how to create and manage buckets, databases, and NoSQL data stores.
- Networking Services
The course covers GCP's networking services, such as Virtual Private Cloud (VPC), Cloud Load Balancing, and Cloud Domain Name System (DNS). Learners get to understand how to create and manage virtual networks, load balancers, and DNS zones.
- Big Data Services
The course also introduces GCP's big data services, such as BigQuery, and Dataflow. Learners get to understand how to query large datasets, create data pipelines, and process large data workloads.
- Best Practices
The course also emphasizes best practices for security, resource management, and cost optimization. Learners get to understand how to secure their GCP resources, manage resources efficiently, and optimize their cloud costs.
Insider Tips
To get the best out of this course, I have included some important tips that you might find useful.
- Learning Cohort
Interacting with peers with similar interests and goals helped me stay motivated, accountable, and engaged.
- Assessment
This course includes assessments in the form of quizzes and hands-on lab exercises to reinforce the learners' understanding of the course material. Learners are allowed to take the assessment as many times as wanted to get clear with the concepts. Study materials are provided in the form of presentations.
Each module includes one or more quizzes that test the learners' knowledge of the course material. The quizzes consist of multiple-choice questions and some questions that require learners to select multiple answers. The quizzes are graded automatically, and learners can retake them as often as they want to improve their scores.
In addition to quizzes, the course includes hands-on lab exercises that allow learners to apply the knowledge they have gained in a practical setting. Though the course does not have a formal midterm or final exam, learners need to pass all the quizzes and lab exercises to earn a certificate of completion.
- Hands-on Lab Work
Lab exercises are designed to be completed using GCP's web-based console, and they cover topics such as creating and managing virtual machines, creating and managing storage buckets, and deploying containerized applications using Google Kubernetes Engine (GKE).
The course provides learners with access to GCP's web-based console for the duration of the course, allowing them to experiment and practice the concepts they have learned in a real-world setting.
- Pre-requisites
Even though this is a basic React course, it is beneficial if a person is familiar with basic HTML and Javascript for beginning web development.
Final Take
Since cloud computing is becoming an essential skill in the tech industry, computer engineering students who understand GCP have a competitive advantage when applying for jobs. Thus, completing this course was a valuable addition to my resume.
Cloud computing has continued to grow in popularity in recent years, and with the ongoing shift towards remote work and digital transformation, the demand for cloud computing skills is likely to remain high. This course covers foundational concepts and practical skills related to Google Cloud Platform (GCP), equipping them for a future-proof career.
Moreover, this course can help learners stay competitive in the job market by providing them with a recognized certification from Google. This certification can demonstrate to potential employers that the learner has a solid understanding of cloud computing concepts and practical skills related to GCP, which can be highly valuable in the current job market.
I would suggest this course to everyone, as it gives a really good start to every individual who wants to create a career in cloud computing.
Key Takeaways
Learn how to create and manage virtual machines, deploy containerized applications, and run server-less applications using GCP's networking services
Understand the different categories of GCP services, such as Compute, Storage, Networking, and Big Data
Study how to use GCP's big data services for querying large datasets, creating data pipelines, and processing large data workloads.
Explore GCP's storage services, such as Cloud Storage, Cloud SQL, and Cloud Bigtable
Learn how to secure GCP resources, manage resources efficiently, and optimize cloud costs
Course Instructors
Mahima Churi
Web Developer
Mahima is a proactive learner, and a dedicated student currently finalizing B.E. in Computer Engineering.
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