Top 3 Google Cloud Certification Courses You Must Have On Your Resume
- By rpsadmin
When it comes to moving out of entry-level jobs, your college degree can take your resume only so far. In the IT sector, everything is constantly changing and your resume needs to keep up with changing technology. Today, it’s all about the cloud and there’s no better time than today to update your Google cloud skills. Some skills are more in demand as compared to others. Assuming your fundamentals are strong and you know the basics of cloud concepts how about completing a Google cloud certification course in Bangalore and advancing your skills. Here are the three Google cloud skills that have the highest demand.
List Of Google Cloud Certification Course
- Data Analytics
Every decision an organization makes, is based on data. Thus, the ability to analyze data sets and extract actionable information is coveted. The Data Analytics on Google Cloud courses help build these skills. From learning how to derive insights from data visualization using the cloud platform to data loading, schema modeling and query pricing, these courses cover all you need to know. Ideally, before starting a course, you should have experience working with ANSI SQL.
The beginner’s courses cover the fundamentals and teach participants How to
- Make queries and get insight from Google’s BigQuery public datasets
- Evaluate dataset quality
- Automate data cleansing pipelines
- Write independent SQL on real analytics e-commerce datasets
The intermediate courses build on skills such as introducing new data from external sources to BigQuery to visualize them and analyzing data from multiple sources with multi-table JOINs and UNIONs.
Finally, at an advanced level, you can dive into how complex queries can be broken down into manageable steps, the internal architecture of BigQuery and other advanced topics like the use of Structs and Arrays for nested fields and using authorized views to secure data.
- Machine Learning
Google Machine Learning is easy to design and manage and boosts every aspect of organizational productivity. The Machine Learning on Google Cloud courses focus on learning how to write distributed machine learning models, scale-out model training and make high-performance predictions. Ideally, you should have a foundation level understanding of Python programming and SQL querying before starting these courses.
Beginners will learn about the 5 stages of converting a candidate use case to be driven by machine learning and neural networks before getting in to setting up a supervised learning problem and using gradient descent to find solutions.
The intermediate section deals with low-level TensorFlow. It covers the API and concepts needed to write machine learning models, how to scale these models, how to use the Cloud Machine Learning Engine for high-performance predictions and how to perform feature engineering.
Machine learning isn’t just about data, it’s about logic. This is what the advanced courses stress on. Here you will learn about the art of Machine Learning and how hyperparameters can be tuned and adjusted for better results. You will also learn how to build custom estimators.
Using the Google Kubernetes Engine, a number of organizations have seen benefits such as faster app development cycles, faster response times, auto upgrades to eliminate operational overheads and the ability to leverage high-availability control planes. It’s no surprise that people certified in GKE services can command higher salary packages.
The Architecting with Google Kubernetes Engine course will teach you how to build, schedule, balance loads and monitor workloads to implement GKE solutions as well as how to manage role-based access for better security.
Data Analytics on Google Cloud – Finding the Best Way to Update Your Skills
You’re never too busy to update your skills. If you don’t have time to attend an in-person course, you could take the virtual route and attend certification courses online. Look for courses that offer presentations and demos along with hands-on lab sessions to get a balance of theoretical and practical knowledge. All the best!