Learn GCP
5 expert-rated courses covering GCP. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
GCP skills are in high demand across industries such as tech, finance, healthcare, and e-commerce, as companies leverage cloud-based tools and services to drive digital transformation. The average salary for a GCP-certified professional is $120,000, and the job market is expected to grow by 25% annually through 2026.
Catalog analysis updated . Ratings are independent editorial scores. Read the rating methodology.
Key Facts About GCP
- 1GCP offers over 200 products and services, including compute, storage, networking, and a range of data analytics and AI/ML tools.
- 2The top GCP services are Google Compute Engine, Google Cloud Storage, BigQuery, Cloud Dataflow, and Cloud Dataproc.
- 3GCP is the second-largest public cloud provider, with a 20% global market share as of 2021.
- 4GCP offers a comprehensive set of security and compliance features, including SOC, ISO, and PCI DSS certifications.
- 5GCP is built on the same infrastructure that powers Google's own services, ensuring high performance, scalability, and reliability.
Top GCP Courses
Deploying a Fault-Tolerant Microsoft Active Directory Environment
This is a self-paced lab that takes place in the Google Cloud console. In this Qwiklab, you set up a redundant pair of Windows Domain Controllers (DC) with AD using a new Virtual Private Cloud (VPC) network and multiple subnets on Google Cloud Platform (GCP).
Data Engineering, Big Data, and ML on GCP
Master data engineering on Google Cloud including Spark, Kafka, data pipelines, data warehousing, and machine learning deployment.
Big Data Engineering Bootcamp with GCP, and Azure Cloud
Master Big Data with Hadoop, Spark, Kafka & Cloud. Build Real-World Projects & Scalable Data Pipelines from Scratch.
Master Data Engineering using GCP Data Analytics
Learn GCS for Data Lake, BigQuery for Data Warehouse, GCP Dataproc and Databricks for Big Data Pipelines.
Data Engineering for Beginners: Learn SQL, Python & Spark
Master SQL, Python, and Apache Spark (PySpark) with Hands-On Projects using Databricks on Google Cloud.
Pro Tips for Learning GCP
- #1Start with the Google Cloud Fundamentals: Core Infrastructure course to build a strong foundation in GCP concepts and services.
- #2Gain practical experience by completing hands-on projects, such as building a data pipeline or deploying a serverless application on GCP.
- #3Pursue GCP certifications, such as the Google Certified Professional Cloud Architect or the Google Certified Professional Data Engineer, to validate your skills and boost your career prospects.
Why Learn GCP?
- Gain expertise in cloud computing and data analytics, which are essential skills for a wide range of high-paying tech roles.
- Develop proficiency in cutting-edge GCP services and tools, enabling you to design and implement scalable, secure, and efficient cloud-based solutions.
- Become a valuable asset to organizations undergoing digital transformation, as they seek professionals who can leverage GCP to drive innovation and business growth.