The fields of data science and data engineering are increasingly in demand as more enterprises engage the road to digital transformation. As a result, an ever increasing number of cloud computing professionals are sought after by recruiters and hiring managers. There are currently thousands of open jobs for cloud architects, data engineers, and cloud application developers.
Those looking to take advantage of this rising demand should look for quality training solutions in order to kick start their career objectives. But time is of the essence, the jobs are here now, so it’s important to choose the training solution that will result in the most benefit.
Online learning leader, Coursera, now offers the full Google Cloud suite of programs on their learning platform, taught by the experts at Google.. Learners can enroll in Google Cloud Specializations to access top-quality could training, with hands-on labs and practical experience. All courses include free hands-on labs to provide practical experience. Enroll today and your first month of learning is free.
Here is a list of the Google Cloud learning tracks offering time-critical in-demand skills:
Become a Machine Learning Data Scientist
The Machine Learning with TensorFlow on Google Cloud Platform Specialization explains why machine learning is important and shows how to build real-world machine learning models from the perspective of in-depth projects. The 5 courses in this specialization provide the foundation for learning how to build machine learning models that give any organization a competitive edge.
Learners can enroll in Google Cloud Specializations to access top-quality could training, with hands-on labs and practical experience.
Courses:
- How Google does Machine Learning
- Launching into Machine Learning
- Intro to TensorFlow
- Feature Engineering
- Art and Science of Machine Learning
Become a Cloud Architect
The Architecting with Google Cloud Platform Specialization is designed for IT professionals who implement, deploy, migrate, and maintain applications in the cloud. Learners combine real world experience with this Specialization to sharpen important skills for the Google Cloud Certified – Professional Cloud Architect exam. The 6 courses in this Specialization introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Cloud computing is poised to become the most disruptive force in the tech industry — more than $1 trillion in IT spending will be affected by the shift to the cloud.
Courses:
- Google Cloud Platform Fundamentals: Core Infrastructure
- Essential Cloud Infrastructure: Foundation
- Essential Cloud Infrastructure: Core Services
- Elastic Cloud Infrastructure: Scaling and Automation
- Elastic Cloud Infrastructure: Containers and Services
- Reliable Cloud Infrastructure: Design and Process
In addition to the Specialization series, there is Getting Started with Kubernetes Engine. This one-week, accelerated course equips learners to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic.
Become a Data Engineer
The Data Engineering on Google Cloud Platform Specialization is designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions. Learners combine real world experience with this Specialization to prepare for the Google Cloud Certified – Professional Data Engineer exam. The 5 courses in this Specialization provide participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. According to a study from Forrester, Data Engineering is a crucial new field that bridges gaps between data, insight, and action. Launch a new Data Engineering career by learning how to help organizations manage massive data sets and overcome data disconnects.
Courses:
- Google Cloud Platform Big Data and Machine Learning Fundamentals
- Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
- Serverless Data Analysis with Google BigQuery and Cloud Dataflow
- Serverless Machine Learning with Tensorflow on Google Cloud Platform
- Building Resilient Streaming Systems on Google Cloud Platform
Become a Data Expert
The From Data to Insights with Google Cloud Platform Specialization is a 4 course accelerated series designed to demonstrate how to derive insights through data analysis and visualization. The courses feature interactive scenarios where the learner will explore, mine, load, visualize, and extract insights from diverse BigQuery data sets.
Courses:
- Exploring and Preparing your Data with BigQuery
- Creating New BigQuery Datasets and Visualizing Insights
- Achieving Advanced Insights with BigQuery
- Applying Machine Learning to your Data with GCP
Become an Application Developer
The Developing Applications with Google Cloud Platform Specialization is designed to show application developers how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through 4 courses and a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Job market demand for app developers is growing at a rapid pace. Developers with cloud skills will become ever more sought-after as the cloud speeds up the app development cycle and reduces time spent on tooling and standing up infrastructure.
Courses:
- Google Cloud Platform Fundamentals: Core Infrastructure
- Getting Started With Application Development
- Securing and Integrating Components of your Application
- App Deployment, Debugging, and Performance
Kick start your career with a Google Cloud Specialization on Coursera. Your first month of learning is free.
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