Your path to Google Cloud Architect Certification: Start with these Quests

Your company’s architecture:

If you want to keep data in sync across Region 1 and Region 2, do you know which product will enable you to do so?

 1. Google Cloud SQL

2. Google Cloud Bigtable 

3. Google Cloud Storage

4. Google Cloud Datastore

Did you know, or did you Google it? Over 70% of IT decision makers believe their organizations have lost revenue due to a lack of cloud expertise, about $258,188,279 per organization, according to this report. Companies are looking to hire people who can help. Cloud Systems Architects can make anywhere from $136k – $170k per year. Being a Certified Google Cloud Architect makes it easy to identify you as a person who can help with $258 million in lost revenue. Google can help you be the person with all the answers, starting with hands-on labs:

1. If you’re new to Google Cloud start with the Baseline: Infrastructure Quest to perform basic tasks in Cloud Storage, deploy a containerized application with Google Kubernetes Engine, build a Docker image, create and deploy a Cloud Function, publish and consume messages, create a Cloud IoT Core device registry and perform basic operations in Cloud Spanner.

2. Thinking about getting certified? Tackle the Cloud Architecture Quest to help you prepare. Use this link to enroll in the Quest by Friday, May 25 and get 30 credits free of charge, to start your journey towards your next Google Cloud credential. Get in-depth experience with: Identity and Access Management (IAM), infrastructure scenarios, Cloud Security and Privacy APIs, breaking an application into microservices, debugging, API call tracing and using Deployment Manager to establish alerts to trigger incident response.

3. Then try the practice exam to assess your readiness. How did it go? Try to stay away from Google for this one…

4. Extra credit: Want to push your skills to the next level? Challenge yourself with the Scaling Your Infrastructure Quest, developed by Google experts. Learn how to: set up multiple NAT gateways, deploy an autoscaling Compute Engine, customize Stackdriver logging, set up Jenkins on Google Kubernetes Engine to help orchestrate your software delivery pipeline and use Spinnaker to continuously deploy the application when changes are made.

Since certification proves your ability to design, develop and manage dynamic solutions that are robust, scalable and highly available, it is a smart way to fast-track your cloud career in an accelerating industry with Google. And don’t forget, enroll in the Cloud Architecture Quest by Friday, May 25 and get 30 credits free of charge, to start your journey towards your next Google Cloud credential.

Are you going to Next ‘18? Get certified while you’re there and grow your network (pass the exam and you’ll get exclusive access to the certification lounge, too!).


Your next 3 labs should be…

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):

  1. 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:

  1. 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.

  1. 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:

Don’t forget to follow this link and get 5 Qwiklabs credits to take these labs free of charge. And be sure to click by May 17, when the link expires!

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!