If you feel excited about going to work, that’s great. However, if you go to work just to pay bills, then it might not be the career you’re looking for… Did you know that only 29% of professionals are engaged at work?
Disengaged employees cost the U.S. $450 billion to $550 billion per year. Think there’s a dream job waiting for you like these Kubernetes roles or these data roles, but afraid you lack the skills? Qwiklabs can help! Get the raise you’ve always wanted by making your mistakes and gaining valuable experience in a safe lab environment. These labs can help you ramp-up your skills (and if you follow the provided links, you can take a lab or two on us, free of charge):
- Don’t be intimidated by Machine Learning. This Cloud ML Engine Qwik Start Lab is perfect for newcomers to the field. It walks you through the basics of using machine learning on Google Cloud Platform. Start small, and before you know it, you’ll be able to analyze massive sets of your organization’s data to identify and resolve issues faster.
Check out how in this example you can experiment with TensorBoad graphs which show you your training model’s behavior:
- Don’t lose out on what your data can tell you. A NewVoiceMedia report reveals that U.S. companies are losing $62 billion to their competitors every year due to poor customer service. Want to ensure that your organization does not lose to its competitors? #MakeGoogleDoIt – more specifically, learn how Google can help you listen better to your customers with the Google Cloud Natural Language Qwik Start Lab. The Google Cloud Natural Language reveals the structure and meaning of text by offering powerful machine learning models in an easy to use REST API. Analyze interactions with your customers to understand their sentiment, and identify where you might be able to improve.
Here’s an example of how you’ll practice with the API entity analysis in the Google Cloud Natural Language Qwik Start Lab:
You can apply similar analysis to understand your customers, their pain points, and how your organization can help them reach their goals.
- Don’t be overwhelmed by Big data. Since big genomic data is here today, why not use it to ask bigger questions efficiently? Such as how can scientists develop treatments by combining drug and gene therapy? Get hands-on experience with enormous public datasets with the Google Genomics Qwik Start Lab. You’ll use Google’s implementation of the htsget protocol and SAM Tools to create a project that uses complex datasets. Practice with this lab and apply what you learn to securely store, explore, process and share your organization’s large and complex datasets.
Here’s an example of how in this lab you’ll practice running the query to view statistics about a small range on chromosome 11 on a public genome: