Please find below the required training material, along with instructions for how to access it. Credits will be accessed via Training is accessed via Google Cloud Skills Boost.

How to sign up for Google Cloud Innovators and Google Cloud Skills Boost:

  1. If you do not have a Google Cloud Innovators account, please can you signup using this URL: https://cloud.google.com/innovators You will then need to validate the signup, via an email that you will receive and collect credits to be used on Google Cloud Skill Boost.
  2. If you do not have a Google Cloud Skills Boost account, please can you signup using this URL: https://www.cloudskillsboost.google/users/sign_up? You will then need to validate the signup, via an email that you will receive.
  3. Open an incognito/private browser window and open the following URL: https://www.cloudskillsboost.google/catalog?qlcampaign=5y-e-hack-90
  4. Ensure that you are not already signed in to the Cloud Skill Boost platform before opening the link shared above. Do not select the "Sign In with Google" option to log in, but instead enter the email address and password for your Google Cloud Skills Boost account.
  5. Sign in & verify receiving 9 credits upon successful sign-in using the profile link in the top right corner of the page.
  6. Open and complete one of the labs listed below with 100% score (and spend at least 6 minutes attempting). Click "End Lab" and validate receiving 100 credits into your profile, which will be required to complete the rest of the training below.

We have split the training below based on its difficulty, so anyone who has described themselves as Novice should start with that training, and then progress to Intermediate/Advanced. For more experienced participants, it may be that the Novice training is not required. As a reminder, on the day challenges will be assigned based on self-reported experience and knowledge of AI/ML on Google Cloud.

Novice

 

Intermediate/Advanced 

 

Inspiration

Need some ideas to get started? Consider these inspirational projects:

  1. Security
    • Cloud Workload Protection: Protect cloud workloads from threats
    • Phishing Detection and Prevention: Analyze email data and identify phishing attempts, providing real-time alerts and prevention measures.
    • Threat Intelligence Platform: Collect, analyze, and distribute threat intelligence to improve security posture
  2. Sovereignty
    • Technology Transfer and Licensing: Facilitate technology transfer and licensing Data Sovereignty Impact Assessment: Analyze data flows and identify potential data sovereignty risks Data Localization Compliance Checker: Develop a tool to assess compliance with data localization regulations Data Loss Prevention: Detect and prevent data loss incidents.
  3. Sustainability
    • Sustainable Sourcing: Find suppliers who are committed to sustainability and optimize the sourcing process.
    • Renewable Energy Integration: Make renewable energy sources like solar and wind work better with the electricity grid, reducing the need for fossil fuels.
    • Product Lifecycle Management: Design and make products in a way that reduces waste and makes them last longer.
    • Energy Audit Automation: Analyze energy usage data and find ways to save energy and money
  4. Smart Use of Data & AI
    • AI Ethics Framework: Analyze AI usage and identify potential ethical risks. Chatbots for Customer Service: Create chatbots to provide personalized customer support Explainable AI: Create systems that provide explanations for AI model decisions. Predictive Analytics for Business Forecasting: Analyze business data and provide predictive insights for forecasting.