Google Certified Professional Cloud Architect For 2021
Achieve Google Cloud Architect Certification with latest changes for 2021.
Updated on Apr, 2024
Language - English
IT Certification,IT & Software,Google
Lectures -235
Resources -5
Duration -15.5 hours
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Course Description
This course will help you in becoming a Google Cloud Certified Architect. It will help in learning what are the various cloud offerings in Google cloud platform and how to use those offerings.
This is an ideal course to learn about Google cloud for all developers and aspiring cloud architects.
It will help in boosting your career.
This course covers
1. What is Cloud
2. Why use Google Cloud
3. How to use IAM in Google cloud and ensure security in Cloud
4 What are the compute offerings in GCP and how to use those compute offerings. It also covers where to use which compute offerings
5. What are the data storage services offered in Google Cloud and what are the best practices to store and analyze data in Google Cloud.
6. How to distribute request traffic among application backends using various load balancer options in GCP and how to decide which load balancer is best suitable for a particular use case.
7. How to migrate existing Bigdata applications in GCP.
8. How to set up a new Bigdata ETL pipeline in Google Cloud by using Dataflow
9. How to capture and analyze logs in GCP
10. How to monitor applications in Google Cloud
11. How to do application tracing to find performance bottlenecks in Google Cloud
12. How to set up CI/CD pipeline in Google Cloud
13. How to use IAC in Google cloud.
14. Practice questions.
Who this course is for:
- Any developer who is interested in learning cloud technologies.
- Any one who want to learn GCP
Goals
What will you learn in this course:
Students will lean about Google cloud and its services. It help in what's the purpose of each Google Service and achieving Professional Cloud certificate
Student can learn how Google cloud is different from other cloud
What all computation options are available in Google cloud like compute engine, Cloud Function, Kubernetes
How to decide which compute service should be use based on need
Students will learn about data storage options like Persistent disk, Local Disk, Cloud SQL, Cloud DataStore, BigQuery
What are various machine learning and AI offerings by Google cloud
How to use load balancer in GCP
What are the various data storing options in Cloud for different use case.
How to capture logs for the application in log
How to monitor and debug application in cloud
How to use IAC to create cloud resources
How CI/CD pipeline works in GCP
How to run big data processing pipeline in Google Cloud
Prerequisites
What are the prerequisites for this course?
Just a basic understanding of Cloud computing is good enough for this course.
Having a developer background will make it easy to understand the concepts defined in this course
Basic understanding of big data and CI/CD pipeline will help in understanding the content in better way
Curriculum
Check out the detailed breakdown of what’s inside the course
Cloud Computing Introduction
5 Lectures
-
Welcome
02:10
02:10
-
Computing Services and Challenges
06:22
06:22
-
Benefit of Cloud
03:41
03:41
-
Why Google Cloud
03:24
03:24
-
Google Cloud Certifications
03:39
03:39
Google Cloud Introduction
9 Lectures
Resource Management and IAM
22 Lectures
Compute Engine
26 Lectures
Load Balancer
12 Lectures
Google App Engine (GAE)
17 Lectures
Google Kubernetes Engine (GKE)
15 Lectures
Serverless Computing - Cloud Function & Cloud Run
8 Lectures
Networking
33 Lectures
Cloud Storage
16 Lectures
Cloud SQL
12 Lectures
Cloud Spanner
8 Lectures
No SQL Databases
16 Lectures
Big Data in GCP
13 Lectures
Cloud Operation Suite
8 Lectures
IAC, CI/CD and Machine Learning
4 Lectures
Other Services in Google Cloud
3 Lectures
Case Studies
8 Lectures
Instructor Details
Nitin Singla
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