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Updated in [May 25th, 2023]

This course provides an overview of Google Cloud Platform (GCP). It is designed to help students understand the overall concepts of GCP and its various offerings. Students will learn about the fastest growing public cloud platform services in the world, as well as the updates to BigData and Machine Learning offerings from GCP. Google is developer-friendly and has provided code examples to GitHub link -> github/GoogleCloudPlatform/. Google also provides $300 credit to try/learn GCP platform, in addition to the free tier. Last year, Google recorded an 84% growth rate and is investing heavily in extending GCP services across the globe. GCP is already prominent in Data Analytics and Machine Learning offerings, and has added Storage, Compute platform, Database, Security, and many more public cloud services for enterprises around the world. Google has private fiber optic cables around the world and has built innovative data centers to scale enterprise infrastructure and platform services requirements.

[Applications]
After completing this course, students should be able to apply their knowledge of Google Cloud Platform (GCP) to their own projects. They should be able to identify the various services offered by GCP, understand the pricing models, and be able to use the various tools and services to build and deploy applications. Additionally, students should be able to use GCP to store, process, and analyze data, as well as use machine learning and big data services. Finally, students should be able to use GCP to secure their applications and data.

[Career Paths]
1. Cloud Architect: Cloud Architects are responsible for designing, planning, and implementing cloud computing solutions. They must have a deep understanding of cloud technologies, such as Google Cloud Platform, and be able to develop strategies for deploying and managing cloud-based applications. As cloud computing continues to grow in popularity, the demand for Cloud Architects is expected to increase significantly.

2. Data Scientist: Data Scientists are responsible for analyzing large amounts of data and developing insights from it. They must have a strong understanding of data analysis techniques, such as machine learning, and be able to use Google Cloud Platform to store and process data. As businesses continue to rely on data-driven decisions, the demand for Data Scientists is expected to grow.

3. DevOps Engineer: DevOps Engineers are responsible for automating the deployment and management of applications on Google Cloud Platform. They must have a strong understanding of cloud technologies and be able to develop scripts and tools to automate the deployment and management of applications. As businesses continue to move to the cloud, the demand for DevOps Engineers is expected to increase.

4. Security Engineer: Security Engineers are responsible for ensuring the security of applications and data on Google Cloud Platform. They must have a strong understanding of security best practices and be able to develop strategies for protecting applications and data from malicious actors. As businesses continue to move to the cloud, the demand for Security Engineers is expected to increase.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, such as programming, software engineering, and computer architecture. Students will also learn about the latest developments in cloud computing, artificial intelligence, and machine learning. As cloud computing continues to grow in popularity, this degree path is becoming increasingly important for those looking to pursue a career in the field.

2. Master of Science in Cloud Computing: This degree path provides students with a deeper understanding of cloud computing technologies and their applications. Students will learn about cloud architecture, security, and scalability, as well as the latest trends in cloud computing. This degree path is ideal for those looking to pursue a career in cloud computing, as it provides the necessary skills and knowledge to succeed in the field.

3. Master of Science in Data Science: This degree path provides students with a comprehensive understanding of data science fundamentals, such as data mining, machine learning, and data visualization. Students will also learn about the latest developments in big data, artificial intelligence, and predictive analytics. As data science continues to grow in popularity, this degree path is becoming increasingly important for those looking to pursue a career in the field.

4. Doctor of Philosophy in Cloud Computing: This degree path provides students with a comprehensive understanding of cloud computing technologies and their applications. Students will learn about cloud architecture, security, and scalability, as well as the latest trends in cloud computing. This degree path is ideal for those looking to pursue a career in cloud computing, as it provides the necessary skills and knowledge to succeed in the field.