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Google Certified Professional Cloud Architect Crash Course

Published by Pearson

Intermediate content levelIntermediate

In this online course, Noah Gift, will cover how to prepare for one of the hottest certification exams in 2020, the GCP Cloud Architect Certification. This training will cover the six core areas of the certification: Introduction to Google Cloud Platform, Software-Defined Infrastructure, Core Services, Cloud-Native Elasticity, Containers and Site-Reliability Engineering. The final portion of the course will be to cover real-world case studies of Architecture problems on GCP.

A certified cloud architect enables organizations to leverage the true power of the cloud. This allows the organization to use cloud-native technologies: containers, software-defined networking and elastic services. A cloud architect will choose which approach to use for complex IT problems. These problems could encompass multi-cloud, hybrid or cloud-native environments.

What you’ll learn and how you can apply it

  • Learn how to perform architectural design on GCP
  • Learn how to use the appropriate storage solution for GCP
  • Learn how to design for security
  • Ensure reliability
  • Learn to optimize for cost

This live event is for you because...

  • You are a DevOps Engineer who wants to understand how to operationalize GCP workloads.
  • You are a Software Engineer who wants to master Cloud-Native terminology and practices on GCP.
  • You are a Machine Learning Engineer who wants to solidify their knowledge of GCP Big Data practices.

Prerequisites

  • 1-2 years of experience with GCP and six months using Cloud-Native tools, including: containers, serverless, and virtual machines.
  • Ideally, attendees would have already passed the GCP Associate Engineer, but this is not a requirement.

Course Set-up

Recommended Preparation

Recommended Follow-up

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Day 1

Part 1: Introduction to Google Cloud Platform Length (45 min)

  • GCP Key Concepts
  • GCP Key Terminology
  • Use Cloud Shell

Q&A (10 min)

Break (5 min)

Part 2: Software-Defined Infrastructure Length (45 min)

  • Use VPC
  • Use Project
  • Use Network and Comput

Q&A (10 min)

Break (5 min)

Part 3: Core Services Length (45 min)

  • Use Encryption
  • Use Monitoring and Instrumentation
  • Use Billing and Account Management

Q&A (10 min)

Break (5 min)

Part 4: Cloud-Native Elasticity Length (45 min)

  • Use auto-scaling
  • Use load balancing
  • Use Infrastructure automation

Q&A (10 min)

Break (5 min)

Part 5: Containers Length (45 min)

  • Use application infrastructure services
  • Introduction to containers
  • Use Cloud functions

Q&A (15 min)

Day 2

Part 6: Site-Reliability Engineering-Part 1 Length (45 min)

  • Design cloud-native architecture
  • Use business, data and presentation layer design
  • Use Cloud-Native DevOps

Q&A (10 min)

Break (5 min)

Part 7: Site-Reliability Engineering-Part 1 Length (45 min)

  • Design for resiliency, scalability and disaster recovery
  • Design for security and cost
  • Microservice design

Q&A (10 min)

Break (5 min)

Part 8: Case Studies Part 1 Length (45 min)

  • Design and plan a cloud solution architecture
  • Manage and provision a solution Infrastructure
  • Design for security and compliance

Q&A (10 min)

Break (5 min)

Part 9: Case Studies Part 2 Length (45 min)

  • Analyze and optimize technical and business processes
  • Manage implementation
  • Ensure solution and operations reliability

Q&A (10 min)

Break (5 min)

Part 10: Exam Review Length (45 min)

  • Exam overview
  • Review Official Case
  • Exam Strategy

Q&A (15 min)

Your Instructor

  • Noah Gift

    Noah Gift is lecturer and consultant in both the UC Davis Graduate School of Management’s MSBA program and Northwestern’s graduate data science program, MSDS, where he teaches and designs graduate machine learning, AI, and data science courses and consults on machine learning and cloud architecture for students and faculty. These responsibilities include leading a multicloud certification initiative for students. He’s the author of close to 100 technical publications, including two books on subjects ranging from cloud machine learning to DevOps. Noah has approximately 20 years’ experience programming in Python. He’s a Python Software Foundation Fellow, an AWS Subject Matter Expert (SME) on machine learning, an AWS Certified Solutions Architect and AWS Academy Accredited Instructor, a Google Certified Professional Cloud Architect, and a Microsoft MTA on Python. Over his career, he’s served in roles ranging from CTO, general manager, and consulting CTO to cloud architect at companies including ABC, Caltech, Sony Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios, and Linden Lab. In the last 10 years, he’s been responsible for shipping many new products that generated millions of dollars of revenue and had global scale. Currently, he’s consulting startups and other companies. Noah holds an MBA from UC Davis, an MS in computer information systems from Cal State Los Angeles, and a BS in nutritional science from Cal Poly San Luis Obispo.

Skill covered

Google Cloud Certified - Professional Cloud Architect