30 Days of Google Cloud Program Kickstart Session
- 1. Begin your journey to cloud with 30 Days of Google Cloud
- 2. Track 1: Cloud Engineering Track 2: Data Science & Machine Learning Here are the 2 tracks Now let’s go over the different tracks that we have in the program on which you will be trained first and then you have to train your peers. Contents of the program
- 3. Track 1: Cloud Engineering Explore and deploy solution elements, including infrastructure components such as networks, systems, and applications services. 1. Getting Started: Create and Manage CloudResources 2. Perform foundational infrastructure tasks in Google Cloud 3. Setup and Configure a Cloud Environment in Google Cloud 4. Deploy and Manage Cloud Environments with Google Cloud 5. Build and Secure Networks in Google Cloud 6. Deploy to Kubernetes in Google Cloud
- 4. Track 2: Data Science & Machine Learning Learn & demonstrate proficiency in key data & ML topics to prepare for roles in data, marketing &business. 1. Getting Started: Create and Manage CloudResources 2. Perform Foundational Data, ML, and AI Tasks in Google Cloud 3. Insights from Data with BigQuery 4. Engineer Data in Google Cloud 5. Integrate with Machine LearningAPIs 6. Explore Machine Learning Models with Explainable AI
- 5. Google Cloud Skill Badges What is a skill badge? An exclusive digital Google Cloud skill badge demonstrates your growing Google Cloud recognized skillset. How do I earn a skill badge? Show your cloud skills by completing a series of hands on labs, including a final assessment challenge lab, to test your skills and earn a Google Cloud skill badge to share with your network. Show us your skills by earning all of them!
- 6. Go Cloud!
- 7. What is Cloud? …asa service > > PlatformInfrastructure Software
- 8. Infrastructure as aService PaaSIaaS SaaS > >
- 9. Platform as aService PaaSIaaS SaaS > >
- 10. Software as aService PaaSIaaS SaaS > >
- 11. Get Set!
- 12. Let’s get started! Open a new incognito window.
- 13. Join or Sign into Qwiklabs In an Incognito/Private browser window, go to: https://google.qwiklabs.com/ . Then click Join to create a new account or Sign in to sign in to an existing account. If creating a new account, remember to check the Marketing Opt In box.
- 14. All Google Cloud Platform services are associated with a project that is used to: ● Track resource and quota usage ● Enable billing ● Manage permissions and credentials ● Enable services and APIs All GCP services you use are associated with a project
- 15. Google Cloud Identity and Access Management defines... Who can do what on which resource
- 16. ● Regions: Collections of zones ○ Specific geographical locations where you can run resources ○ Regions are interconnected using Google’s global, meshed backbone network ● Zones: Isolated deployment areas in a region Your resources can be regional, zonal, or in some cases multi-regional. You can launch cloud resources in different regions for high availability and reliability
- 18. Getting Started: Create and Manage Cloud Resources
- 19. Enroll in the Getting Started: Create and Manage Cloud Resources Quest Click on the “Enroll in this Quest” button
- 20. The quest has 6 labs. We will go through 1 of them together as a group and you have to take the rest yourself. As said earlier, you need credits to take these labs. You can use your 600 credits to access these labs. Getting Started: Create and Manage CloudResources Introductory 6 Steps 5 hours 13 Credits In this introductory-level Quest, you will get hands-on practice with the Google Cloud’s fundamental tools andservices. HANDS-ON LAB A Tour of Qwiklabs and the Google Cloud Platform HANDS-ON LAB Creating a Virtual Machine HANDS-ON LAB Getting Started with Cloud Shell &gcloud HANDS-ON LAB Kubernetes Engine: Qwik Start HANDS-ON LAB Set Up Network and HTTP Load Balancers HANDS-ON LAB Getting Started: Create and Manage Cloud Resources: Challenge Lab
- 21. LAB1 WALKTHROUGH Objectives ● Learn about Qwiklabs platform. ● Learn how to use Google Cloud Platform console. Lab 1: A Tour of Qwiklabs and Google Cloud (Getting Started: Create and Manage CloudResources)
- 22. Congratulations! You have now enough knowledge to complete your first Qwiklabs quest and earn a Google Cloud-hosted skill badge. Once completed, make your Qwiklabs profile public to see the badge: My Learning > View Public Profile > Make Profile Public Follow the instructions here.
- 23. Great Job!
- 24. Data Science & Machine Learning Track
- 25. Perform Foundational Data, ML, and AI Tasks in Google Cloud
- 27. Puppy or Muffin?
- 28. Machine learning is learning from rules plus experience.
- 29. Good Machine Learning models require lots of high-quality training data
- 31. Getting help
- 32. Need Help? 1.There is online chat support available 24/7 for Qwiklabs. Select the Department as “30 Days of Google Cloud” Look at the bottom right corner of your screen
- 33. Need Help? 2. If there any other problems, email dscsupport@qwiklabs.com The team there will respond quickly.
- 34. Complete remaining quests in Cloud Engineering track Earn “Skill Badges” simultaneously! Getting Started: Create and Manage Cloud Resources Perform Foundational Infrastructure Tasks in Google Cloud Setup and Configure a Cloud Environment in Google Cloud Deploy and Manage Cloud Environments with Google Cloud Build and Secure Networks in Google Cloud Deploy to Kubernetes in Google Cloud What are skill badges? An exclusive digital Google Cloud skill badge that demonstrates your growing Google Cloud recognized skillset.
- 35. Earn all these badges! Getting Started: Create and Manage Cloud Resources Perform Foundational Deploy and Manage Cloud Environments with Google Cloud Build and Secure Networks in Google Cloud Deploy to Kubernetes in Google Cloud Setup and Configure a Cloud Environment Infrastructure Tasks in Google Cloud in Google Cloud
- 36. Complete remaining quests in Data Science & Machine Learning track Earn “Skill Badges” simultaneously! Getting Started: Create and Manage Cloud Resources Perform Foundational Data, ML, and AI Tasks in Google Cloud Insights from Data with BigQuery Engineer Data in Google Cloud Integrate with Machine LearningAPIs Explore Machine Learning Models with Explainable AI What are skill badges? An exclusive digital Google Cloud skill badge that demonstrates your growing Google Cloud recognized skillset.
- 37. Earn all these badges! Getting Started: Create and Manage Cloud Resources Perform Insights from Data Foundational Data, with BigQuery ML, and AI Tasks in Google Cloud Engineer Data in Google Cloud Integrate with Machine Learning APIs Explore Machine Learning Models with Explainable AI