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Google Certified Professional Cloud Architect Crash Course

Noah Gift

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 training course 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

About your instructor

  • Noah Gift is lecturer and consultant at both UC Davis Graduate School of Management MSBA program and the Graduate Data Science program, MSDS, at Northwestern. He is teaching and designing graduate machine learning, AI, Data Science courses and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities including leading a multi-cloud certification initiative for students. He has published close to 100 technical publications including two books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA from UC Davis, a M.S. in Computer Information Systems from Cal State Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis Obispo.

    Professionally, Noah has approximately 20 years’ experience programming in Python. He is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect and AWS Academy Accredited Instructor, Google Certified Professional Cloud Architect, Microsoft MTA on Python. He has worked in roles ranging from CTO, General Manager, Consulting CTO and Cloud Architect. This experience has been with a wide variety of companies including ABC, Caltech, Sony Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios and Linden Lab. In the last ten years, he has been responsible for shipping many new products at multiple companies that generated millions of dollars of revenue and had global scale. Currently he is consulting startups and other companies.

Schedule

The timeframes 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)