GitHub repository: Chatak1/30-Days-of-Google-Cloud-Track-2-Challenge-Labs
Description:  What is 30 Days of Google Cloud? 30 Days of Google Cloud program will provide you an opportunity to kickstart your career in cloud and get hands-on practice on Google Cloud Platform - the tool that powers apps like Google Search, Gmail and YouTube.  Along the way, you will learn & practice concepts like computing, application development, big data & machine learning using cloud & if you get stuck, you will have your "Campus Facilitators" who are specially trained on Google Cloud to help. 😎  Registration for the 30 Days of Google Cloud program is closed now.  #30DaysofGoogleCloud Why should I enrol in the program? There are a lot of things in store for you. We want to make sure that by the end of this program:  1. You can showcase what you've learned here to your professional network using Google Cloud-hosted quest & skill badges (see below) that you can add to your resume and professional profiles like LinkedIn. 🏆  GCE Skill Badge FD Skill Badge FI Skill Badge BQ Skill badge CE Skill Badge DE Skill Badge DK Skill Badge EAI Skill Badge 2. And on top of these amazing badges, get a chance to win some really cool Gooogle Cloud goodies*. 💪 (See Prize Rules section)  Cloud T-shirt DataScience T-Shirt & more.... Program's Syllabus The program will introduce you to Computing, Application Development, Big Data & Machine Learning using Google Cloud's training platform called Qwiklabs where you will learn each of these topic using self-paced labs that provides you temporary credentials to Google Cloud Platform, so you can learn the cloud using the real thing – no simulations.  For convinience, we have divided the topics above into 2 different tracks - Cloud Engineering Track and Data Science & Machine Learning Track.  Syllabus Images Track 1: Cloud Engineering Track 1. Skill Badge: Getting Started: Create and Manage Cloud Resources  2. Skill Badge: Perform Foundational Infrastructure Tasks in Google Cloud  3. Skill Badge: Setup and Configure a Cloud Environment in Google Cloud  4. Skill Badge: Deploy and Manage Cloud Environments with Google Cloud  5. Skill Badge: Build and Secure Networks in Google Cloud  6. Skill Badge: Deploy to Kubernetes in Google Cloud  Track 2: Data Science & Machine Learning Track 1. Skill Badge: Getting Started: Create and Manage Cloud Resources  2. Skill Badge: Perform Foundational Data, ML, and AI Tasks in Google Cloud  3. Skill Badge: Insights from Data with BigQuery  4. Skill Badge: Engineer Data in Google Cloud  5. Skill Badge: Integrate with Machine Learning APIs  6. Skill Badge: Explore Machine Learning Models with Explainable AI