Learn Google Workspace and Microsoft Azure with 20 Practice Exams

📌 Course Overview

This course equips you with essential skills in Google Workspace administration and cloud-based machine learning. Learn how to manage user accounts, secure collaboration tools, and build ML workflows in the cloud.

👥 Who Should Enroll?

✅ IT administrators managing Google Workspace
✅ Data scientists & engineers using cloud-based ML
✅ Business professionals optimizing collaboration & security
✅ Anyone interested in Google Workspace & ML pipelines

📚 Course Modules

🔑 Module 1: Account Management & Security

• User provisioning & deprovisioning
• Managing permissions & security policies

📂 Module 2: Google Drive & Shared Drives

• Organizing files & managing team access
• Setting up secure sharing policies

🔒 Module 3: Security & Configuration

• Configuring Google Meet, Gmail & Drive
• Implementing phishing & spam protection

👥 Module 4: Google Groups Management

• Creating & managing Groups for collaboration
• Troubleshooting common issues

☁️ Module 5: Cloud Computing for Machine Learning

• Why ML needs the cloud
• Comparing major cloud platforms

🔧 Module 6: Building & Managing ML Pipelines

• Hands-on with Azure ML Studio
• Automating ML workflows

📊 Module 7: Data Transformation & Regression Modeling

• Cleaning & normalizing datasets
• Building & evaluating ML models

🎯 Key Outcomes

By the end of this course, you'll know how to:
✅ Manage Google Workspace accounts & security
✅ Optimize collaboration with Drive & Groups
✅ Build & deploy ML models in Azure ML Studio
✅ Clean, transform & evaluate ML data

📅 Course Details

📍 Mode: Online
⏳ Duration: Self-Paced
🛠️ Hands-on Labs: Real-world exercises
📜 Certification: Earn a completion certificate

Ready to level up your skills? 🚀 Let’s get started!