Dig deep into Machine Learning with Google Cloud

Fun fact: there are 1,829 open positions for machine learning engineers on LinkedIn. Do you want to become a machine learning engineer? It’s easier than you might think, and we can help with a Quest or two.

Tackle any of the Quests from the roadmap below and become a ML expert:

1. Enroll in Baseline: Data, ML & AI Quest – If you’re new to ML, it’s a perfect Quest! You’ll work with big data, machine learning and artificial intelligence services in Google Cloud, like Dataproc and Bigtable.  Enroll now and get a free 30 day pass to earn this badge, plus as many others as you can (free of charge, no CC required). Hurry, link expires Thursday, June 21. 

 

2. The Machine Learning APIs Quest: This is the next step in your ML journey. You’ll capture text strings from images, recognize characters translate text into other languages using Cloud Vision API, Natural Language API and Translation API. You’ll even build a responsive chat bot using Google Cloud Dialogflow and train & deploy a TensorFlow model to Cloud ML Engine for serving (prediction).

 3. Enroll in Scientific Data Processing: Ready for a challenge? Tackle this Quest next. You’ll explore public domain scientific data sets, and learn to manipulate and transform data using the power of Google’s cloud infrastructure.

Can’t get enough of machine learning? Want to know what’s Next?  Stay tuned for Part 2!

Next ’18: Got your ticket?

Are you ready for the Next ‘18 conference? You’ll get access to Google keynotes, working sessions, exclusive certification opportunities, expert Q&A, opportunities to participate in bootcamps, and more. And if you can’t make it to San Francisco, check out these Next Extended events around the world. 

Next ’18 is the perfect opportunity to take a certification exam. Not sure where to begin, or how to prepare? Start your certification journey with hands-on labs. You can even take labs before the event so you get the most out of your experience at the conference.

Enroll in any of the following Quests, and get 30 credits free of charge (no credit card required). 

 1. The GCP Essential Quest is the most popular Quest of all time. Practice with GCP basics like starting a Virtual Machine and working with key infrastructure tools like Stackdriver and Kubernetes. Complete the Quest and you’ll earn this badge:

2. Need more specialized practice with the Google Cloud? Tackle the Baseline: Infrastructure Quest and you will learn to use 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 use Cloud Spanner. Here’s the badge you’ll earn:

3. Hoping to become a certified Google Cloud Architect? Next attendees who get certified will have exclusive access to the certification lounge (and snacks!). Complete the Cloud Architecture Quest to help you practice exam topics. 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. You’ll earn another badge, too!

4. Google’s Data Engineering certification is unique. Set yourself apart by earning this certification. Practice key exam concepts with the Data Engineering Quest (designed by Google’s training team). You’ll get experience with TensorFlow, an IoT pipeline, BigQuery and Datalab, and even learn how to correspond to your sales data with the weather! Here’s the badge you’ll earn:

See you at Next ’18!

 

 

5 steps to data mastery with Google Cloud

Have you seen the Make Google do it commercials? Learn how to make Google tackle the tough questions you want to answer for your job or business with 15+ Machine Learning and Big Data labs that can help you answer questions like:

How do self-driving cars know the speed limit? What SKUs will see the most traffic on my retail website when it’s raining? How can I analyze sentiment of my customers’ conversations with my team? And how can I prepare for Google’s Professional Data Engineer certification exam?

  1. Start with the Baseline: Big Data, ML, AI Quest if you’re new to Google Cloud. Get a basic understanding of GCP tools like Cloud SQL, BigQuery, APIs, Bigtable, Dataproc, Dataprep, and Cloud ML Engine, and explore public datasets like worldwide genomic data. With about five hours of lab work, you can earn your badge!
  2. Next, tackle more advanced concepts with the Machine Learning APIs Quest. This is where you’ll learn how to teach a self-driving car to recognize speed limit signs,   analyze blocks of text for customer satisfaction, and five more use cases. More fun with APIs, plus experience with Awwvision and Dialogflow.
  3. You’re ready for the next step, the Data Engineering exam practice Quest. These nine labs, designed by Google’s training team, help you practice critical job skills for the role of a Data Engineer. You’ll practice use cases with TensorFlow, an IoT pipeline, BigQuery and Datalab together, and you’ll learn how to correspond your sales data with the weather!
  4. Thinking about the Data Engineer certification? Try the practice exam to assess your readiness, and don’t “make Google do it” this time (: Set a timer and see how far you can get. How did it go?
  5. Extra credit: Challenge yourself with some of the most advanced labs on Qwiklabs today. The Google Cloud Solutions II Quest works through complex scenarios to knit multiple services together to solve a problem. The labs in this Quest come directly from engineers who developed these solutions in real-time. Not for the faint of heart! Dig deep into TensorFlow use cases, use BigQuery to explore NCAA data and build custom interactive dashboards with Boke, and more.

Why not try for a ML or Big Data Quest badge? A badge shows your “flight time” with Google Cloud, and differentiates you as someone with hands-on GCP experience. Would one (or more) of these badges look good on your resume?

 

Power-up your resume with a certification

Google cloud is making waves in the enterprise space by increasing speed and efficiency for companies like Evernote, solving complex problems for a fraction of the cost in medical research, and working with industry leaders like Snap to enable the latest mobile video technologies. As companies move to the cloud, demand for technical professionals continues to grow.

According to Glassdoor.com, the average Cloud Architect salary in the US is over $140,000. Are you strategizing your next career move? How do you prove you have what it takes to be a cloud architect, and set yourself (and your resume) apart?

Earning a certification is a smart way to fast-track your cloud career. Certifications help people and companies connect. And a Google Cloud certification puts you at the forefront of an accelerating industry.

Browse certifications & register.

Google Certified Professional Cloud Architect

The Google Certified Professional – Cloud Architect exam is an opportunity for you to demonstrate your skills. The certification proves your ability to design, develop and manage dynamic solutions that are robust, scalable and highly available.

Are you going to Next ‘17? Get certified while you’re there and grow your network (pass the exam and you’ll get exclusive access to the certification lounge, too!).