No CC required for this Cyber Monday deal

What’s so special about Qwiklabs.com? It might be the only site you visit today that does not require your credit card. Just released, 10 free labs are available now in the GCP catalog. The new skills you learn will not break, go out of style or require batteries. Instead of online shopping, start your next career move free of charge and learn how to:

  1. Create a small App Engine application that displays a short message. Comes with video.
  2. Give your brain a workout by practicing with the Google Fitness API – and you’ll learn about the architecture and basic functioning of Application Programming Interfaces (APIs).

  3. Write a demo app that retrieves data from G Suite APIs. You can’t go wrong with free G Suite training. Plus, you’ll get a free start on your G Suite: Integrations quest.
  4. Create your own App Maker app that has a Google Cloud SQL Database, Google Maps integration, and a Mobile Responsive Design. And of course, fully published and ready to use. 

Get these free labs and more at qwiklabs.com – and stay tuned, the catalog will continue to grow!

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! 

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!

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!

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.

Take AutoML Vision for a test drive

What kind of cloud is this?

I don’t know either. Can you think of other types of images that would be useful to classify? For example, if you have an online tire shop, wouldn’t it be cool if your customers could upload a photo of their current tire to find a matching replacement?

AutoML can help your tire shop decrease the number of returns and increase customer delight. And it’s easier than you think – learn how to take advantage of this powerful new tool with a new lab, AutoML Vision API.

Here’s some of what you’ll do:

  • You’ll be prompted to log into the AutoML UI. Open the link in a new tab to make it easy to hop between AutoML and your lab manual. Then, you’ll log into AutoML with your Qwiklabs-provided credentials.
  • In the AutoML UI, you will see a button for “Billing”. You do not need to worry about billing for this lab, as Qwiklabs covers the cost of this lab for you.
  • When you load data into your storage bucket, you’ll set your project name with one of the first commands you run. Find your project name on the left of your lab manual, just below your GCP credentials:

AutoML is currently in beta, so we expect to see constant changes to the user interface. Send any questions to Support@Qwiklabs.com and we’ll be happy to help. Plus you’ll help us keep the lab up to date as the product continues to improve!

Curious about what type of clouds were spotted during our trip to Muir Woods? Here are our model’s predictions:

The model is 99% certain these are cumulus clouds! Prediction certainty and accuracy would be better if we trained our model with more than 20 images per category. When you’re helping customers order tires, you will probably want to use 100+ photos per category.

Happy lab-taking!

 

Dig deep into Machine Learning with Google Cloud: Part 2

If you haven’t enrolled in the machine learning Quests mentioned in this blog, you’re missing out! One last chance for free labs, follow any of the Quest links in this post and get a 30 day pass to finish these Quests. Hurry, offer expires Thursday, June 28 (free of charge, no CC required).

Tackle any of the Quests from the roadmap below to become a ML master. If you’re a beginner… begin at the beginning 🙂

Earn a machine learning Quest badge or two, get practice with real-world scenarios, and make the most out of your time at Next ‘18 with some ML rockstars. Who might you meet at Next ’18?

Fei Fei Li is a Chief Scientist of Cloud AI and ML at Google Cloud. She works in the areas of computer vision and cognitive neuroscience. Her publications include Scaling Human-Object Interaction Recognition through Zero-Shot Learning  and Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. Get hands-on practice with Cloud AI at scale with the Machine Learning APIs Quest.

Or you might run into Valliappa Lakshmanan. Lak is on a mission to democratize machine learning so anyone can do it using Google’s infrastructure. Check out his latest book, Data Science on the Google Cloud Platform, explaining how to apply statistical and machine learning methods to real-world problems. And try it for yourself with a lab from the Scientific Data Processing Quest!

Take some labs ahead of time, gain a little experience, and ask better questions at the ML sessions offered at the Next ’18! Check out these sessions:

Can’t get enough of machine learning? When you register for Next ‘18, you will have the option to add some of these ML boot camps:

    • End-to-End Machine Learning with TensorFlow on GCP: You’ll go through the process of building a complete machine learning pipeline, covering ingest, exploration, training, evaluation, deployment and prediction.
    • Building and updating a Machine Learning Model on Edge Network using Cloud ML: You’ll learn how to process and store IoT or other data using Cloud Pub/Sub, Cloud Dataflow, Cloud Storage, and Google BigQuery.
    • Building Chatbots with Machine Learning: You’ll use Dialogflow and Cloud Natural Language API to rapidly convert an HR manual document into a fully functional and conversational chatbot. You’ll also add text and voice interactions to the chatbot and secure and scale it for production.

If you can’t make it to Next in San Francisco, take classes worldwide. Find one here.

To make the most of your time at Next ’18, enroll in these ML Quests by Thursday, June 28 (free of charge, no CC required).

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!

Google Labs just released!

Qwiklabs has big news – Google labs are available now! Just in time for Next ’17. Even better news: all Google Cloud labs are available free of charge (for a limited time).

Click here to see all Google Cloud labs.

If you are already a Qwiklabs user, you can use your Qwiklabs credentials to log in (even though the URL is slightly different than what you’re used to seeing). You will find Google Cloud labs for all experience levels. Want to learn the basics? Try one of these introductory labs:

Or, expand your skillset with a more advanced lab:

Questers, we’ve got something for you too! Be one of the first to add a Google Cloud badge to your resume. Enroll now, and complete your quest while all the labs are available free!

Google Cloud Qwiklabs badges

Got questions I didn’t answer? I’m here to help. Just post a comment here and we’ll get back to you right away.

Happy lab-taking!