Cloud Out Loud - Multi-Cloud with AI/ML and Big Data
AWS, Azure and GCP - Including AI/ML and Big Data - To Professional Architect Level
4.76 (25 reviews)

473
students
25.5 hours
content
Apr 2025
last update
$39.99
regular price
Why take this course?
🌩 Unlock the Full Potential of Cloud Computing with "Cloud Out Loud from Out Loud Cloud"! 🚀
Course Headline: 🎓 Learn everything there is to know about the three main clouds - AWS, Azure, and GCP - NOW UPDATED!
What's New in Our Updated Course? 🔄
- January 2024: Introducing a new Cloud decision tree for AWS and Azure!
- December 2023: Enjoy our newly updated content with a focus on AI and Machine Learning, an expanded Big Data section, and a comprehensive "How to get work in the Cloud" guide!
Why Take This Course? 🤔
This course is your golden ticket if you're a beginner or someone familiar with one cloud who aspires to master multiple cloud platforms. It's designed to transform you into a multi-cloud expert, ensuring you have a well-rounded understanding of the three major clouds: AWS, Azure, and GCP.
Course Breakdown:
Understanding Cloud Architecture:
- Learn how to determine the requirements for your Cloud Architecture.
- Grasp the general principles of designing Cloud systems, including de-coupling, redundancy, and load balancing.
Types of Cloud Systems:
- Explore public, private, and hybrid cloud options.
Cloud Services Overview:
- Dive into IAAS, PAAS, SAAS, CAAS, FAAS, and beyond.
In-Depth Learning on AWS:
- From 101 to Solution Architect Professional level, master the intricacies of AWS.
Google Cloud Mastery:
- Learn Google Cloud from basics to Professional Architect level.
Azure Cloud Insights:
- Understand Azure Cloud and how it compares with AWS and GCP.
Reference Architectures:
- Discover reference architectures for various application types in AWS, Azure, and GCP.
Component Comparisons Across Clouds:
- Databases: Compare AWS vs Azure vs GCP database options.
- File Storage & Data Lakes: Understand the offerings across all three clouds.
- Network Components: See how network components stack up in AWS, Azure, and GCP.
- Security Issues: Learn about Zero trust principles and other security concerns in the main clouds.
- Identity and Access Management (IAM): Authentication, Authorization, and Multi-Factor Authentication (MFA).
Big Data Implementation:
- Learn about data lakes, data pipelines/ETL, and data warehousing in different clouds.
Internet of Things (IoT):
- Understand how IoT systems function across various cloud platforms.
Compliance & Governance:
- Navigate the compliance and governance issues within Cloud environments.
Hybrid/Multi-Cloud Architecture:
- Explore architecture issues and migrations between different clouds.
DevOps, CI/CD, and DevSecOps:
- Understand what these terms mean and why they are crucial for Cloud systems.
Getting Certified:
- Learn how to prepare for and obtain certifications in AWS, Google Cloud, and Azure.
Monitoring, Testing, Security:
- Get up to speed on monitoring, testing, and security best practices in AWS, Azure, and GCP.
Deployment Strategies:
- Determine the most suitable deployment strategies for your needs.
Testing and CI/CD Pipelines:
- Learn how to integrate testing into your CI/CD pipeline effectively.
Additional Learning Resources:
- Access a wealth of tools, tricks, ebooks, links, and other valuable information about Cloud computing.
Join us in "Cloud Out Loud from Out Loud Cloud" and embark on a transformative journey to master the cloud! ☁️💫
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4797694
udemy ID
24/07/2022
course created date
28/01/2023
course indexed date
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