Get started with Google Cloud APIs

83% of enterprise workloads will be in the cloud by 2020. How? API integration! Want to get started with cloud APIs? Qwiklabs can help. Take any of the labs below and you’ll get 10 Qwiklabs credits by November 21st (free of charge, no CC required).

  1. Introduce yourself to Google Cloud APIs and understand key principles of API communication, architecture and authentication.

For example, you’ll work with Cloud Storage API methods to inspect the Fitness API and monitor traffic levels, error rates and latencies in the Dashboard:

Then, you’ll work with authentication services with Google Cloud APIs. For example, to access user data, you’ll authenticate JSON/REST API by using OAuth 2.0 playground.

2. Got a picture of your pet? Analyze an image with the APIs Explorer: Qwik Start lab. You’ll create a Cloud Storage bucket, upload an image to the bucket. You can use an image of a good dog, Bailey (:

You’ll then call the Cloud Vision API to analyze the image. When you’re done, your request field will look similar to this:

Does it? Share your results @Qwiklabs.

3. How far have you memorized the value of pi? Put Google Cloud to the test. Create a cluster using Cloud Dataproc API and then run a Apache Spark job to calculate an approximate value of pi in that cluster.

Two workers aren’t enough for data intensive processes like these. Add 3 more workers to update the cluster with Dataproc API:

Have you verified the update? How many worker nodes do you see? Share your results @Qwiklabs.

Take the labs and don’t forget you’ll get 10 Qwiklabs credits (free of charge, no CC required).

 

Are you ready for an AI-first future?

Join Google Cloud CEO Diane Greene and other experts for a free online conference on the future of artificial intelligence. The conference rolls through time zones too, so no matter where you are in the world, there’s a session for you.

Prepare yourself for deep-dives by taking cloud training ahead of time. Each of the following quests guides you through using GCP tools to answer an AI business question or solve a technical challenge. Use what you learn to ask the best questions and have the most meaningful conversations with your conference moderators. Use these links for a 1-month pass to Qwiklabs (free of charge, no CC required). Offer ends November 13th. 

  1. Get your data insight-ready:

Enroll in the Baseline: Data, ML, AI quest to work with BigQuery, Cloud Speech API and Cloud ML Engine. Follow Mark as he guides your path in these 1-minute videos. You’re on your way to building a strong foundation in data management, cloud data warehouse and real-time analytics to implement AI.

2. Put AI to work, fast:

Enroll in the Data Science on GCP quests to practice data ingestion, preparation, exploration and visualization. Finish the first quest and move on to the next, which zooms in on running machine learning jobs with state-of-the-art tools and real-world data sets. The material for these quests comes from a book by Lak, who amongst others will elaborate on how data scientists, developers and others can incorporate AI into their products during the conference. 

3. See AI in action:

Brush up on your ML skills with the Machine Learning APIs quest – some of my favorite labs guide you through use cases like image classification with Cloud Vision API and building an AI chatbot (: Then you’re well on your way to learn how businesses use AI to solve complex business problems like fighting fraud.

Think you can finish one of these quests in one month? Enroll now and be the stand-out participant at the conference! 

Cloud training tricks & treats

It was a dark and stormy night. The power flickers, then goes out. Oh no, all of your servers in the next room are off! Your business is down until further notice!

Sound scary? We can help. Whether you’re moving from on-premise to the cloud or looking to build your cloud skills to make your next career move, learn how the public cloud can help you vanquish the monster in your closet with Google Cloud labs. And your Halloween treat? Click here to take the “happy Halloween” lab and you’ll get candy – wait – Qwiklabs credits (30 of them) – enough to take up to 10 labs free of charge. Hurry, offer ends at midnight (on November 2)!

Use those credits to get training on moving your business-critical apps from the server closet (it’s probably full of monsters after all) to Google Cloud. These labs will help you prepare for the move:

  • Deploy an app that says “hello world and happy Halloween!” from the cloud with the App Engine: Qwik Start lab.  This lab is part of the Baseline: Deploy & Develop quest. Enroll in the quest and get hands-on experience with the Google App Engine framework by launching Python, Ruby, and Java apps (just to name a few). 
  • Networking 101: Learn how GCP might differ from an on-premises setup. “Good explanation,” said one reviewer 2 days ago.
  • Already using containers on-prem? Learn how to do it on the cloud with Google Container Engine. This lab earned seven 5-star reviews in the last 24 hours. 
  • The phrase “data loss” is almost as scary as meeting a werewolf in a creepy forest when you’re holding a rare hamburger. Learn how to use the Data Loss Prevention API to inspect a string of data for sensitive information and redact any that you find. The Data Loss Prevention API provides programmatic access to a powerful detection engine for personally identifiable information and other privacy-sensitive data in unstructured data streams. Try it with a lab.
  • Uh-oh, your app has a bug in it. Learn how Stackdriver APM (Application Performance Management) can help you detect, track, and debug errors in your application with this lab. And mind the monster socks!

Happy Halloween!

Become a data scientist without a PhD: Part 2

Remember that $1.2 trillion business value of AI? Just released, a new set of data science labs zoom in on Google Cloud’s data science and ML tools.  Enroll in the Data Science on GCP: Machine Learning quest by Monday, November 15th and you’ll get 1 month pass to Qwiklabs (free of charge, no CC required). You’ll run machine learning jobs with state-of-the-art tools and real-world data sets.

There are over 8,500 Data Scientist jobs on LinkedIn. 68% of those jobs require machine learning expertise. As a data scientist, you will transform data to:

  • Improve revenue, business agility, customer experience
  • Reduce costs
  • Development of new products and or product features

Don’t have these skills, or want to improve? You don’t need a PhD. Learn how to do all of these things and more with a lab. Here are some of the labs:

  1. Machine Learning with Spark on Google Cloud Dataproc lab: Analyze data using Spark with the PySpark interactive shell on the master node of the Cloud Dataproc cluster running on Google Cloud Datalab:

Then create and train a Spark Dataframe by importing, developing, saving and restoring a logistic regression model. You will then build data visualizations with Jupyter notebooks. In your model, does the on-time arrival probability rise with overall flight distance? Share your results @Qwiklabs!

2. Processing Time Windowed Data with Apache Beam and Cloud Dataflow (Java): You’ll configure Maven Apache using the starter project archetype for Cloud Dataflow projects:

Patience! This will take a few minutes to compile… When the build is successful, you should see something like this:

Finally! You’re ready to deploy a Java application to Apache Beam to create training and test data files.

If you are successful, you should see these files. Did you get it? Share your results! @Qwiklabs.

3. Bayes Classification with Cloud Datalab, Spark and Pig on Google Cloud Dataproc: Have you ever performed quantization of a data set? Here’s your chance. Use Dataproc, Datalab and Spark to perform quantization of a dataset to improve the accuracy of a data model. Then visualize your data with Jupyter notebooks and Apache Pig:

And don’t forget about part 1, the Data Science on GCP quest. Both quests cover the hands-on exercises described in Data Science on Google Cloud Platform book by Valliappa Lakshmanan (Lak).

New Quest: G Suite Integrations

G Suite has over 4 million customers today, and growing.  Are you one of them? Get the most out of G Suite and Google Cloud’s powerful tools. Just released, the G Suite: Integrations quest features 8 new G Suite labs, each one designed to make you look smarter than the one before. Get G Suite training on advanced tools like integrating BigQuery and Google Slides for data visualization and building your own custom apps for Google Sheets.

Complete all 8 labs and add the new G Suite badge to your resume. And if you’re one of the first 100 people to enroll using this link, you will receive 50 Qwiklabs credits free of charge (enough to complete the quest). Enroll now.

Here’s some of what you’ll do:

  1. Learn how to write code that accesses Google developer technologies, in just 4 lines of JavaScript.
  2. Use the Apps Script CLI, or clasp, to create and publish web apps and add-ons for products like Sheets, Docs, Forms, and Slides from the command line. In this lab you will learn to create, edit, and deploy Apps Script projects locally.
  3. Build a chatbot for Hangouts Chat. This one is “Attendance Bot” – you will learn to integrate it with a user’s vacation responder and meetings in Calendar. What kind of chatbot would improve your daily routine (and maybe lunchbreak)?
  4. Got a presentation coming up? Use Google Slides API as a Custom Presentation Tool. Learn to build a presentation using the Google Slides API and BigQuery to present an analysis of the most common software licenses. Take what you learn in the lab to your next presentation and knock your stakeholders’ socks off.
  5. More Big Data and Slides – learn how to leverage two Google developer platforms, G Suite and Google Cloud Platform (GCP), to collect, analyze and present data.                                                                                          
  6. Good luck on your quest! And don’t forget to share your badge when you complete it – @Qwiklabs – after all, you earned it.

You are invited to get started on your cloud journey

Did you know that the GCP Essentials quest shows you how to spin up a VM, configure key infrastructure tools, set up Load Balancers and work with Kubernetes nodes, all in less than four hours? Use this link to enroll in the quest by Friday, November 16th and you’ll get 10 Qwiklabs credits  (free of charge, no credit card required) to help you get started.

Then continue your cloud journey in person! Check out these events:

OnAir: Register for a live 45-minute webinar with Google Cloud experts to prepare for an AI-first future.  Join Diane Greene Google Cloud CEO, and the team for an interactive look at artificial intelligence by unlocking the benefits of machine learning.

DevFest: Another opportunity to meet with your community! DevFest is powered by a belief that when developers come together to exchange ideas, amazing things can happen. Each event is uniquely tailored to the needs of a hosted-region, and while your local event may or may not incorporate labs, we hope you can make it!

Next Extended: Not just in San Francisco – Next Extended events bring GCP to your town. Event starts off with food, networking and keynotes and transition to an open panel discussion. Attend a Next Extended event near you and be sure to join the hands-on labs session!

Summits: You can choose from over 20 sessions on machine learning, app development, infrastructure, security, etc. Work with executives, customers, partners, developers, IT decision makers and Google engineers to build the future of the cloud. Choose your city and see where the cloud takes you.

Google Cloud OnBoard: It’s a free, instructor-led training event, that introduces you to GCP. You’ll learn how to get started with virtual machines, containers, applications, big data, and machine learning through presentations and demonstrations. Attendees get a free 30-day pass to Qwiklabs to help you finish the GCP Essentials quest.

Study jams: We learn better together! Study jams are an opportunity to meet with the community of technology enthusiasts to brainstorm and dig deep into cloud concepts as a group. It’s a hands-on event where attendees get free access to the labs ($55+ value). You’ll learn fundamental GCP tools and technologies like Kubernetes, Stackdriver, and cloud storage with the GCP Essentials quest. Earn a Google-hosted badge to show your “flight time” with Google Cloud and encourage other members of your community to do the same.

Enroll in the GCP Essentials quest and come to an event near you. We look forward to meeting you!

Google Cloud Next London 2018: Security, spotlights and socks

London lab-takers, you were awesome last week! Between admiring Lei-Mei’s socks, attending spotlight lab sessions, and binge-reading Data Science on the Google Cloud Platform, the big story was security. ‘Security built into every layer of the system’ stated Diane Greene, Google Cloud chief executive, emphasizing Google’s commitment to GCP’s reliability and integrity.

There’s lots of talk about Google Cloud’s security capabilities, but why not try it out for yourself? Get hands-on experience with GCP’s powerful security features with cloud security training labs. Complete all 8 labs and you will earn the Google Cloud Security & Identity badge to show your experience. 

And today, help us test a new feature and get 45 free Qwiklabs credits for your time. Use this link to enroll in the quest and enter code 1423 into this field:

You should see 45 credits added to your account free of charge. If you do not see the credits right away, you may need to log out and log back in.

Here are some of the skills you will learn:

  • Familiarize yourself with Cloud Security Scanner, a tool that identifies security vulnerabilities in your Google App Engine web applications.
  • Learn how Key Management Service can help you secure access to your files in the cloud. Work with advanced features of Google Cloud Security and Privacy APIs, including setting up a secure Cloud Storage bucket, managing keys and encrypted data using Key Management Storage, and viewing Cloud Storage audit logs.
  • In a private cluster, nodes do not have public IP addresses. This means your workloads run in an environment that is isolated from the Internet. Try it for yourself with the lab Setting up a Private Kubernetes Cluster.

Good luck! And remember, if it’s on the network, assume it’s a risk…but don’t worry, Google Cloud’s security tools can handle it.

 

Become a data scientist without a PhD

The business value of AI is projected to reach $1.2 trillion this year according to Gartner. Yet 40% of enterprise companies are not adopting AI. Why not?

3 simple reasons:

      1. Data Scientists are hard to find and hire. Want to become one? There’s a lab for that. Enroll in the Data Science on GCP quest by Friday, October 12th and you’ll get 40 credits (free of charge, no CC required). The labs in this quest are derived from the book Data Science on Google Cloud Platform.
      2. Data analysts with SQL skills (and other programming languages) are also rare. Get practice running SQL queries in the BigQuery console in the Introduction to SQL for BigQuery and Cloud SQL lab. Then experiment with SQL and ML in the Ingest data into the Cloud Using Google App Engine lab. You’ll run Python scripts to download, automatically fetch, and clean data using Google App Engine. You’ll also create a new application and deploy it to the Google App Engine:

Then use a Flask framework to ingest data and invoke it using cron:3. Infrastructure AI is resource-intensive, in terms of both staff, and compute power. Many on-prem setups simply cannot handle the demands of AI. You can learn to take advantage of Google Cloud’s compute power to run your advanced AI jobs. The Google Cloud Dataflow to process data lab shows you how to configure BigQuery and install Python packages to use Apache Beam:

Then you will monitor the progress of your Cloud Dataflow job and inspect the processed data:

You’ll also:

Need more practice with the GCP infrastructure?  Visualize data with Google Data Studio by running the query to get the IP address to connect to the Cloud SQL:

Then create table views to look at flights that are delayed by 10, 15, 20 minutes:

After connecting with the Data Studio, you’ll create a data visualization for flight delays:

Tackle the quest to practice ingestion, preparation, processing, querying, exploring and visualizing of data sets using GCP. When you earn the badge, let us know. You can find us at @Qwiklabs – and we’re always happy to hear about your accomplishments!

Learn the fundamentals of Security & Identity on GCP

Ever wondered why there were 944 cyber attacks in 2017 and 658 cyber attacks in 2018? Here are some facts:

source

Fortunately, there’s a way for you to take advantage of Google Cloud’s powerful security tools. Enroll in the Security & Identity Fundamentals quest by Friday, October 12th and you’ll get a 1 month pass to Qwiklabs (free of charge, no CC required). Here’s some of what you’ll learn:

  1. Service Accounts and Roles: Fundamentals: No prior knowledge with service accounts? No problem! Start with the Cloud IAM lab first to manage permissions by granting users roles. Need further help? Watch Heather and Jimmy.

Then create and manage service accounts by running queries on a BigQuery public dataset from a GCE instance.

 2. Data Loss Prevention API: Practice with an intelligent data service, Google Cloud Dataprep, to visually explore, clean and prepare data for analysis.

After getting practice with the lab, learn how Area 1, anti-phishing solution, provides security by building its service on GCP and using GCP tools to analyze data.

3. Getting started with Cloud KMS: Practice with advanced features of Google Cloud Security and Privacy APIs. With this lab you will set up a secure Cloud Storage bucket and manage keys and encrypted data using KMS. You’ll even use the Enron Corpus!

Do you have Columbus day off? You could use the extra time to earn this badge and strengthen your resume by learning the fundamentals of Security and Identity

Wherefore art thou, Machine Learning training?

How do you learn something new? Do you read a book, watch a video, take a course? Maybe the right answer is poetry.

When you’re learning to use data science tools you need, well, big data to practice. And that’s where Shakespeare comes in. Billy S. wrote 37 plays, 154 sonnets and invented 1700 words (like eyeball, bedazzled, and arch-villain). His works are publicly available and perfect for data manipulation. With the help of Shakespeare, learn how data science tools like BigQuery and TensorFlow can help you take advantage of powerful Google Cloud machine learning technology. And for a limited time, use the links below and get 37 free Qwiklabs credits (as many credits as plays) to take the bard’s favorite labs.

BigQuery: Qwik Start – Command Line: Storing and querying massive datasets can be expensive. Learn how Google Cloud can help you save, after all, “if money go before, all ways do lie open” (The Merry Wives of Windsor). Learn how to move your data into BigQuery and take advantage of the processing power of Google’s infrastructure.

BigQuery training

Big Data Analysis to Slide Presentation: Did you know that Shakespeare invented the word “manager”? Impress yours by learning how to gather and crunch your data, then generate a slide and spreadsheet presentation to blow away management and stakeholders with your breathtaking analytical capabilities and intelligent conclusions.

Big Data and Google Slides analysis

Run a Big Data Text Processing Pipeline in Cloud Dataflow: Learn how to run a Dataflow pipeline that counts the occurrences of unique words in a text file. Not only will you learn how many times the word “alas” appears in King Lear, you’ll learn to use a powerful tool for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation.
Dataflow Pipeline trainingTensorFlow For Poets: Finally, while we don’t know if a rose by any other name smells as sweet, we can use TensorFlow to identify a rose among a floral lineup. Think about what else you could use this technology for – scanning for free parking spaces? Locating your company’s discarded scooters?

Tensorflow training