Big Data & Machine Learning Challenge: May the fourth be with you

If you’re happy with your current job, that’s great! However, if you’re looking for a change, higher salary or maybe even a move within your current company, check out these data engineering opportunities. Qwiklabs can help you skill-up with relevant technologies.

Principal Engineer: A multinational technology corporation  is looking for Principal Engineers (AI, Deep Learning, Neural Machine Translation) in Dublin, IR, €101k – €141k (Glassdoor estimate)

Artificial Intelligence and Machine Learning Engineer: Canada’s leading communications company is looking for an Artificial Intelligence and Machine Learning Engineer in Toronto, CA,  $216k – $252k (Glassdoor estimate)

Machine Learning Engineer: A company focused on empowering their customers by their finances is looking for a Machine Learning Engineer in San Francisco, CA, $121k – $168k (Glassdoor estimate)

All of these job postings have one thing in common: data engineering. And if you’re looking for a qwik and effective way to get the training (plus a credential for your resume), Qwiklabs can help!

Start building your big data skills with the Baseline: Data, ML, AI quest. And since it’s May 4, here’s a Jedi mind trick – follow this link and you’ll get 3 Qwiklabs credits to take the first lab in the Quest free of charge. Then… complete the lab and earn an additional 10 Qwiklabs credits. Use that to complete the Quest. Hurry, the link expires at the end of the day, May 10!

This 10-lab quest gives you hands-on experience with core data engineering concepts. Complete the Quest and earn the Baseline badge, a Google Cloud Platform credential that you can add to your resume.

One of my favorite labs in this Quest is the BigQuery Qwik Start lab. Because BigQuery is serverless, there’s no infrastructure to manage. So as an engineer, you can focus your energy on finding meaningful insights from the data. Since BigQuery has a powerful foundation for real-time analytics, backed by Google’s accelerating infrastructure and compute power, you’ll be able to focus on analyzing what’s happening.

In the lab you’ll practice running this query which shows you how many times the substring ‘raisin’ appears in Shakespeare’s work:

You can apply similar analysis to your business data, for example, counting  words that convey certain sentiment like words such as “thank you”, “immediately” or “fix” appear in your customer communications, or how often specific words related to your product occur in customer searches on your site.

Another lab that you’ll take as a part of this Quest is the  Google Cloud Datalab. Google Cloud Datalab is an interactive data analysis and machine learning environment designed for Google Cloud Platform (GCP). You can use it to analyze and visualize your data interactively and to build machine learning models from your data. The screenshot below shows example labs, samples and other resources that you can explore in the Google Cloud Datalab.

By earning the Baseline: Big Data, ML, AI Quest badge, you will get valuable experience with different tools and methods for finding meaningful insights in your own data. If you earn a badge, it will help you prove your skills, when you’re submitting your resume for your next career move!

Don’t forget to follow this link to get 3 Qwiklabs credits to take the first lab in the Quest free of charge. Then… complete the lab and earn an additional 10 Qwiklabs credits. Use that to complete the Quest. Hurry, the link expires at the end of the day!

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