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).

 

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

Google Cloud training updates

Fun fact: GCP services can make your life easier! Got problems to solve? GCP can help you with data analytics, machine learning, networking, computing, storage, and more. 

The cloud is a big place. Get started qwikly (and economically) with hands-on training. Take any of the labs below by October 3rd, and you’ll get 25 Qwiklabs credits (free of charge, no CC required)!

1: Watch Priyanka as she shows you how to use labs for hands-on Practice with Google Cloud. She introduces you to the GCP environment, quests and lab manuals.

2: Take A Tour of Qwiklabs and the Google Cloud Platform lab to get familiar with GCP, the console and Qwiklabs lab environment. Here’s how to start a lab:

The tour walks you through every step of taking a lab. You explore tools you will use when you take labs, like the Cloud APIs & Services Library:

We’ll test your knowledge throughout the lab with milestones to help you understand key concepts:

Plus you’ll see activity tacking on the right hand side of each lab. Every milestone you reach in the lab earns you points. Get 20/20 to score 100% on the lab!

3. You’ll notice many labs teach you how to solve advanced use cases with APIs (like the Machine Learning APIs quest). Set yourself up for success with the APIs Explorer: Qwik Start lab to learn the basics. And of course, you can use a photo of a good dog!

4. SQL is another skill you’ll exercise in many labs. Don’t have much SQL experience? No problem. Start with the Introduction to SQL for BigQuery and Cloud SQL lab, and you’ll learn how to run SQL queries in the BigQuery console on a public dataset. This lab helps you understand the basics of running SQL queries in the Google Cloud.

For example, you’ll run this query:

…to see users in this example_table:

5. Have favorite labs?  them and they’ll be saved to your Learning page so that you can pick up where you left off:

Why wait? Take any of the labs and you’ll get 25 Qwiklabs credits (free of charge, no CC required). Set yourself up for success by taking the tour, and you’ll be prepared to take on your next challenge, like exploring TensorFlow and Cloud Datalab:

De-mystifying the cloud: Free cloud infrastructure training

Image source

Want to make your life easier by moving from on-prem to the cloud, but don’t know where to start? There’s a Quest for that. The Baseline: Infrastructure Quest gives you hands-on practice with GCP’s core infrastructure services like Cloud IAM, Kubernetes, and Stackdriver. Enroll in the Quest by Monday, September 24th you’ll get a 1-month pass (free of charge, no CC required) to earn the badge and show your “flight time” with Google Cloud.

Even better, each lab in the Quest has 1-minute videos to walk you through key concepts for each lab. Here are some of the labs in the Quest:

  • Cloud Storage: Qwik Start – Console: Use the Google Cloud Platform Console to create a storage bucket, upload objects, create folders & subfolders, and then make those objects publicly accessible.

When you’ve created a bucket & uploaded an object into the bucket, you can check your progress: 

Ensure that you’ve understood each concept by answering multiple choice questions: 

How did you do? Share your results @Qwiklabs. Need extra help? Watch Jenny as she walks you through this lab.

  • Cloud IAM: Qwik Start: Cloud IAM unifies access control for GCP services into a single system and presents a consistent set of operations. Learn to create and manage permissions with this lab. You’ll assign and remove roles associated with Identity and Access Management (IAM).

When you’ve removed project viewer access for a user with IAM, you should see a similar permission error:

If not, let Jenny come to your rescue in this video!

  • Kubernetes Engine: Qwik Start: After you’ve created a cluster, you’ll execute kubectl run command to create a new Deployment, hello-server, using the hello-app container image. Before you can inspect the hello-server service, you’ll need to expose your application to external traffic:

If you’re unable to view the application from your web browser using the external IP address with the exposed port, let Jenny help you!

  • Deployment Manager: Qwik Start: Since Deployment Manager is an infrastructure deployment service that automates the creation and management of GCP resources, you can write configuration files for Cloud Storage, Compute Engine, Cloud SQL, etc.

In this lab, you’ll write a file to create & deploy configuration, inspect the running environment and view the deployment manifest. While waiting to deploy your configuration, you’ll see a status message:

Don’t see it? Jenny can help you with this lab too!

Why wait? Enroll now before 2020 hits, and your server closet in the back room is still humming (:

Your challenge, should you choose to accept it….

There are 8000+ Cloud Architect jobs on LinkedIn and they can make up to $170k+ per year. High salary means high expectations. When you earn your Cloud Architect certification, you are tested on your ability to solve real-world problems. Prepare for the Cloud Architect certification exam and set yourself apart.

Need help practicing for the exam and testing your skills in a simulated crisis? Qwiklabs can help! Tackle the Challenge: GCP Architecture Quest to put your skills to the test. Instead of following “cookbook” steps, you’ll practice with common business/technology solutions using GCP.

Enroll in the Challenge: GCP Architecture Quest by Friday, September 21st and you’ll get a 1-month pass (free of charge, no CC required) to help you complete the Quest and practice for the Cloud Architect certification exam.

Here are a couple of scenarios from the Quest:

  • Google Cloud Essential Skills: Challenge Lab: Your company is ready to launch a brand new website, but the person who built the new site left the company before they could deploy it. Your challenge is to deploy the site in the public cloud.

Tip: Need help with VM? Check out the Creating a Virtual Machine lab before tackling this scenario.

If you need additional help with gcloud, read this documentation.

  • Deploy a Compute Instance with a Remote Startup Script: Since you need to manage the deployment and configuration of Google Cloud virtual machines, you’ve decided to make some changes to the framework. For example, storing startup scripts in a Cloud Storage bucket to make them easily modifiable.

Since these scripts automate initialization of compute instances, this will help you with overcoming a challenge. You will use a remote startup script to configure a Linux Google Compute Engine instance that installs the Apache web server. Have you ensured Apache installation by accessing the Compute Engine instance via HTTP?

Tip: Need help with Cloud Storage? Check out the Cloud Storage: Qwik Start – Console lab first.

  • Build and Deploy a Docker Image to a Kubernetes Cluster: Your development team wants to adopt containerized microservices approach to application architecture. Your task? Ensure you can deploy a sample application to a GCP Kubernetes container. To test deployment of echo-web with a Dockerfile, you must use a tag to build the Docker container image and store it on the Google Container Registry.

Tip: Having trouble with tagging? Take the Container Registry: Qwik Start lab first.

  • Update and Scale Out a Containerized Application on a Kubernetes Cluster: Your system architecture team has adopted a containerized micro-service architecture. You need to take ownership of a test environment to manage containerized web applications. Your challenge is to update the running echo-app application in the echo-web deployment from the v1 to the v2 code. And (because there’s always an “and”) then scale out the application to 2 instances and confirm that they are all running.

Tip: Need help with scaling your containerized applications? Take the Kubernetes Engine: Qwik Start lab first.

Fun fact: The Quest consists of seven scenarios and all of them have activity tracking so, you must score 100% in each scenario to earn the badge. Here’s a qwik preview of activity tracking you’ll see on the right hand side of each scenario:

Think you’ve got what it takes to earn the badge that very few people have added on their resumes? Tackle the Quest now to get the practice for the exam you won’t get anywhere else in the world and increase your career opportunities!

Machine Learning for .NET developers

Democratizing machine learning continues, this time for .NET. Google Cloud is committed to supporting developers getting their .NET workloads up and running on the GCP. Enroll in the Developing Data and Machine Learning Apps with C# and you’ll get 35 Qwiklabs credits, good towards labs in the new Quest (free of charge, no CC required).

Each lab demonstrates how to hook up your data to Google’s ML tools with just a few simple commands. You even get app templates you can re-use when you work on your own projects.

  • Using BigQuery with C# (60 mins): To  or not to , that is the question. Use BigQuery to analyze Shakespeare, a GitHub dataset and data you upload yourself (could be anything).
  • Using the Natural Language API with C# (45 mins): Analyze how awesome Yukihiro Matsumoto is, with documentSentiment. What did you get? The overall sentiment analysis consists of two fields: sentiment and magnitude. Sentiment ranges between -1.0 (negative) and 1.0 (positive). Magnitude indicates the overall strength of emotion (both positive and negative) within the given text, between 0.0 and +inf. Pop quiz: who remembers how to diagram a sentence? Now you can #makegoogledoit, one more talent of the Natural Language API.
  • Using the Speech-to-Text API with C# (45 mins): How many languages do you speak? The Google Cloud Speech-to-Text API has 120 different languages and variants. Even French or a Brooklyn accent. For extra credit, see if the API can transcribe a clip of your speech when you take the lab. Check it out on TechCrunch (:
  • Using the Video Intelligence API with C# (45 mins): You’ll work with a shot-change detection example in this lab. What other types of changes would you want to identify? Maybe a model that detects activity in wildlife monitoring cameras or security footage…
  • Using the Vision API with C# (45 mins): What do otter crossing signs have in common with the Eiffel Tower? The Google Cloud Vision API can recognize them both. Learn how to protect wildlife and organize your vacation photos with a lab. Then apply the skills you learned next time you build a license plate recognition app, or rank the most popular landmarks #teampixel is sharing.

  • Using the Translation API with C# (45 mins): How do you say “hello world” in Turkish? I don’t know – but we can use the Translation API to do it for us. Text is translated using the Neural Machine Translation (NMT) model. If the NMT model is not supported for the requested language translation pair, then the Phrase-Based Machine Translation (PBMT) model is used. And “hello world” in Turkish? Selam Dünya!
  • Cloud Spanner: Create a Gaming Leaderboard with C# (60 mins): Ready player one – wait, who won the last round? Learn to create a leaderboard with C# – this one is the most advanced lab in the Quest so prepare to be challenged!

Hurry, click here to enroll by the weekend and get 35 credits to help you get started. Good luck!

Terraform training on GCP

Did you know that there are over 3000 jobs on LinkedIn that require Terraform expertise? Terraform is the first multi-cloud immutable infrastructure tool for developing, changing and versioning infrastructure safely and efficiently. Terraform can also manage existing service providers and custom in-house solutions.

Qwiklabs can help you learn how to take advantage of what Terraform has to offer. Enroll in the Managing Cloud Infrastructure with Terraform Quest by Thursday, August 30th and you’ll get 40 credits. Use these credits to launch a range of configurations, from simple servers to full load-balanced applications.

If you’re new to GCP, consider tackling the Baseline: Deploy & Develop Quest first. Are you an experienced Google Cloud user? Here’s how the Managing Cloud Infrastructure with Terraform Quest can help you get more comfortable with Terraform:

     After creating a Kubernetes engine cluster, you’ll extract the Kubernetes        engine master IP and network tag name using the gcloud command-line        tool:

And then deploy the NAT gateway instance using Terraform commands.

  • Modular Load Balancing with Terraform – Regional Load Balancer: GCP uses forwarding rules to construct a load balancer across multiple regions and instance groups. Since these forwarding rules are combined with backend services, target pools, URL maps and target proxies, Terraform uses modules to simplify the provisioning of load balancers.

In this lab, you’ll work with different modules to create various load balancers. For example, in the terraform-google-lb-http (global HTTP(S) forwarding rule) module, you’ll provide a reference to the managed instance group and certificates for SSL termination. Then the module creates a global HTTP load balancer for multi-regional content.

Do you know what happens behind the scenes? The module creates the http backend service, URL map, HTTP(S) target proxy, and the global http forwarding rule to route traffic based on HTTP paths to healthy instances:

You’ll then unseal the Vault after getting the decrypted keys from Cloud Storage:

Are your results similar to the example output? Share your results @Qwiklabs.

    • Cloud SQL with Terraform: In this lab you’ll create Cloud SQL instances with Terraform, set up the Cloud SQL Proxy and test the database connection with both MySQL and PostgreSQL clients.

Enroll now to either build career opportunities or to boost your team’s efficiency.

Dig deep into BigQuery Machine Learning with Google Cloud

You don’t need a B.S. in Computer Science to take advantage of powerful GCP data analysis tools. Google announced fully managed service at Next’18, BigQuery Machine Learning (BQML). BQML allows you to:

  • Create, train, evaluate, predict and deploy machine learning models with minimal coding
  • Use SQL directly in the database

Get started with BQML by taking the Predict Visitor Purchases with a Classification Model in BQML lab today and get a 30 day pass (free of charge, no CC required) to help you take advantage of this shiny new toy — I mean, seriously, an impactful data analysis tool!

Here’s some of what you’ll do in the lab:

  • Explore Ecommerce data & run the Query to find out what percentage made a purchase from website visitors:
  • Run the Query to find out your top 5 selling products: 
  • Preview the demo dataset to find useful features a machine learning model uses to understand if a first time visitor will return to make a purchase & dig deeper to know the risks of only using these fields for your classification model:
  • Evaluate classification model to maximize the True Positive Rate (predict that returning users will make a purchase) & visualize a ROC (Receiver Operating Characteristic) curve to maximize the area under the curve:Take the lab  and get your 30 day pass to be one step closer to earning the Data Engineering Quest badge.

The independence of upskilling

The U.S. will be celebrating its 242nd year of independence on July 4th. Set your own “independence” day – learn new skills and take your career where *you* want to go. Enroll in any of these Quests by Monday, July 8th and get a 30 day pass to earn these badges (free of charge, no credit card required). What skills can you add to your resume? 

  1. Baseline: Infrastructure Quest: 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:

  1. GCP Essential Quest: This Quest has the best of both worlds! While it helps you get more comfortable with the Google Cloud, like spinning up a virtual machine, it also challenges you to configure key infrastructure tools through working with more advanced Stackdriver and Kubernetes concepts. Tackle the Quest to earn this badge:

  1. Application Development Quest: Think you’re a Java Jedi or a Python powerhouse? Well we’ve got challenging Quests for you! In these two Quests, you’ll either put your Java or Python skills to test by developing cloud-based applications using GCP services such as App Engine, Cloud Datastore and Cloud Spanner. Then integrate these services and deploy to an App Engine and a Kubernetes Engine. Are you excited to earn these badges?

 

                                                           

 

 

4. Scaling Your Infrastructure Quest: Not for beginners! If you’re ready for an expert level Quest, this one’s for you. 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. You’ll earn this badge:

Celebrate your own independence day with us. Enroll by Monday, July 8th, get a 30 day pass (free of charge, no credit card required), and take charge of your career!