How to maximize your impact in 2019 with the AI for Good challenge

A 3-step guide for maximizing your impact in 2019:

  1. Have an idea for how to use AI to help address society’s challenges.
  2. Spend some time thinking about your idea and formulate a plan of action. Is your idea impactful? Feasible? Scalable?
  3. Apply for’s AI for Good grant. is still looking for for organizations around the world to submit ideas for solving societal problems with AI. If your idea is selected, you will receive grant funding from a $25M pool, support and consulting with Google’s AI and cloud experts, and more resources to help your idea become a reality. The deadline to apply is January 22.

Need some help getting started? Check out some of these resources:

  1. The 7 Steps of Machine Learning, video, 10 minutes: Join Yufeng as he applies machine learning  to universal questions.
  2. AI Experiments: A showcase for simple experiments to help you start exploring ML through music, images, language and more.
  3. 6 free data-related labs: Start exploring the capabilities of BigQuery and data analysis in the Google Cloud – key components of using AI effectively.
  4. Want more labs? Check out a previous post with lots of gnarly data/ML/AI use cases and scenarios.

Get artificial intelligence training with these resources and online training modules, then submit your ideas by January 22 – good luck!

An open call for crazy ideas

Got an idea so crazy it just might work? Google’s AI for good team wants to hear it. Just announced, is calling for organizations around the world to submit ideas for solving societal problems with AI. If your idea is selected, you will receive grant funding from a $25M pool, support and consulting with Google’s AI and cloud experts, and more resources to help your idea become a reality.

Not sure where to start? There’s a lab for that. Learn about AI, machine learning and GCP tools, and how they come together in real-world scenarios. Then apply what you learn to approach societal problems you are passionate about. For a limited time through November 24, use the links in this post to claim 45 free Qwiklabs credits, good towards any lab in the catalog. Just enter promo code 1q-165 – it sounds crazy, but it just might work!

  1. The Cloud ML Engine: Qwik Start lab is an excellent starting point if you’re new to GCP. This lab assumes little to know prior knowledge, and by the end of the lab you have built a TensorFlow model, trained it both locally and in the cloud using Cloud ML Engine (CMLE), and used GCP’s online prediction service. 
  2. Classify Images of Clouds in the Cloud with AutoML Vision: The Zoological Society of London is using AutoML to protect endangered species. Try it for yourself with a lab.
  3. Scikit-learn Model Serving with Online Prediction Using Cloud Machine Learning Engine: This 4+ star lab teaches you how to train a simple scikit-learn model, upload the model to ML Engine, and make online predictions against that model.
  4. Translate Text with the Translation API: Can you think of how smooth, seamless translation might be part of your solution? Learn how to take advantage of Google Cloud’s translation API in just 30 minutes. Talk nerdy to me!
  5. Integrating Machine Learning APIs: Now that you have API experience, learn how to use multiple APIs to construct a pipeline that compares an audio recording with an image and determines their relevance to each other. This is an advanced level lab, so if you find yourself in trouble, check out this intro to APIs lab.
  6. Real Time Machine Learning with Google Cloud ML: While a delayed flight is a minor inconvenience compared to societal problems like protecting endangered species and forecasting catastrophic flooding, it is certainly not fun to be stuck in an airport far from home. (I’m writing this in an airport by the way!) This lab teaches you how to create a real-time flight delay prediction service using Google Cloud Platform services. Can you think of how you might apply what you learn to other scenarios?

Get artificial intelligence training with these Google Cloud labs, then submit your ideas at – good luck!

Back to school: Cloud training for educators

Jobs in the tech industry (machine learning, AI, Cloud) will grow between 12%–37% through 2022. Your computer science curriculum can unlock possibilities for students’ career advancement. Take advantage of free Google Cloud Platform training resources to help your students grow computer science skills:

    • If you’re associated with a non-profit university, complete this form to request free training on Qwiklabs and Coursera.

Next, use your benefit to have your students enroll in a few machine learning Quests:

  • Baseline: Data, ML, AI Quest: Since machine learning is growing rapidly in the tech industry, help your students get started with data tools like Cloud SQL, BigQuery, APIs, Bigtable, Dataproc, Dataprep, and Cloud ML Engine. If your students are interactive learners, they can follow along Mark as he guides their path.
  • Machine Learning APIs Quest: Give your students the opportunity to work with a handful of machine learning APIs. For example, they’ll work with Translation API and Natural Language API to translate text into other languages. They’ll also work with Cloud Vision API to capture text from images and Google Cloud Dialogflow to build a responsive chat bot.
  • Data Science on GCP Quest. Challenge your students to use Tensorflow, Dataflow and Data Studio to practice all aspects of datasets, such as ingestion, exploration, visualization, etc.

Fun fact: This Quest is derived from the book, Data Science on Google Cloud Platform by Valliappa Lakshmanan. Lak is on a mission to democratize machine learning. If your students were to read the book, they will learn how to apply statistical and machine learning methods to real-world problems.

If your class is interested in learning about the fundamentals of Google Cloud in-person, register for a study jam. Your students will get free access to the GCP Essentials Quest during the session and you’ll get two days of free lesson plans. If they complete the Quest within 1 month of their session, they’ll get a 30-day pass to Qwiklabs (free of charge, no CC required). They can use the pass to tackle any of the machine learning Quests mentioned above.

Why wait? Take advantage of these programs and set your students up for success by helping them add these badges to their resumes: