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Google Cloud for Managers

Course Summary

The Google Cloud for Managers training course is designed for managers working in the Information Technology (IT) industry who need to understand the capabilities of Google Cloud and how it differentiates from other cloud computing platforms in the marketplace.

The course begins by covering Compute, Storage, Networking, Security, Data, and Machine Learning services available from Google Cloud. The course then introduces case studies and key concepts from cloud computing with a focus on Google-specific innovations such as MapReduce and TensorFlow. The course concludes with hands-on lab exercises designed to be completed without any programming experience and entirely within the user interface of a modern browser.

Purpose
 Learn about Google Cloud and its technical capabilities in the areas of IT infrastructure, operations, Big Data, and Machine Learning.
Audience
 Technical managers looking to leverage Google Cloud.
Role
Business Analyst - Project Manager - Technical Manager
Skill Level
Introduction
Style
Workshops
Duration
1 Day
Related Technologies
Google Cloud

 

Productivity Objectives
  • Describe compute, storage, networking, security, data, and machine learning services from Google Cloud.
  • Compare Google Cloud relative to cloud computing vendors in the marketplace.
  • Navigate the Google Cloud dashboard and other parts of the console user interface.
  • Analyze the operational trade-offs and logistics involved in running Google Cloud.
  • Plan, budget, and prepare to adopt or integrate with Google Cloud.

What You'll Learn:

In the Google Cloud for Managers training course, you'll learn:
  • Introducing Google Cloud Platform
    • Virtualization and cloud computing
    • Managed Virtual Infrastructure vs. Serverless
    • Microservices and 12 Factor Apps
    • Google Cloud Platform Console
  • Compute, Storage, Networking
    • Virtual Machines and Containers
    • Disk, File, and Cloud Storage
    • Identity and Access Management
    • Cloud-Based Applications and Functions
  • Developing, Deploying and Monitoring
    • Google Cloud Deployment Manager
    • PubSub, DataFlow, and distributed messaging
    • StackDriver, Service Level Objectives
    • Monitoring, alerting and incident response
  • Big Data, Machine Learning, Artificial Intelligence (AI)
    • CloudSQL, BigTable, DataProc, BigQuery
    • TensorFlow and Cloud Machine Learning Engine
    • AI Application Programming Interfaces
    • Data strategies and planning
  • Capacity Planning, Pricing, and Migration
    • Google Cloud Pricing Calculator
    • Business continuity and disaster recovery
    • Assessment and planning
    • Migration use cases
real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
tailored outlines

Tailored Outlines

One-size-fits-all doesn't apply to training teams. That's where we come in!
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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