100 Days Of Cloud - Hands-On Labs

[Emperor2011]

100 Days Of Cloud - Hands-On Labs
Published 5/2026
Created by Mumshad Mannambeth
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 117 Lectures ( 8h 43m ) | Size: 6.55 GB
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Master the Multi-Cloud Frontier: A Comprehensive 100-Day Journey from Fundamentals to Architectural Excellence.
What you'll learn
Design and deploy scalable, multi-cloud architectures across AWS, Azure, and GCP using industry-standard best practices for high availability.
Implement enterprise-grade security and identity management using IAM, VPCs, and encryption to ensure data protection across cloud platforms.
Orchestrate serverless and containerized workloads using AWS Lambda and Kubernetes to build cost-effective, auto-scaling modern applications.
Automate global infrastructure provisioning with Terraform to create version-controlled, reproducible, and professional-grade cloud environments.
Requirements
Requires basic computer skills and a reliable internet connection; no prior cloud experience is necessary as we guide you through setting up all tools and free-tier accounts from scratch.
Description
In an era where digital transformation is no longer a luxury but a survival requirement, the role of aCloud Engineer has become the backbone of modern enterprise technology. This100 Days of Cloud course is an intensive, project-driven program specifically engineered to bridge the gap between theoretical knowledge and production-ready expertise. Whether you are a system administrator looking to evolve or a developer aiming to master the environment where your code lives, this course provides a structured, high-velocity roadmap to navigating the complex ecosystems of AWS, Azure, and Google Cloud Platform.
Transforming into a cloud professional isn't just about memorizing where the "Create" button is in a console; it's about shifting your mindset toward distributed systems, high availability, and cost-efficiency. Over the next 100 days, you will dive into the core pillars ofCloud Computing, moving beyond simple virtual machines into the sophisticated world of managed services and global-scale architecture. We don't just teach you the "how"; we teach you the "why"-ensuring you understand the financial and security implications of every architectural decision you make.
By the end of this journey, you won't just have a certificate; you'll have a robust portfolio of hands-on projects that prove you can build, secure, and scale applications in the cloud. We strip away the fluff and focus on the hard skills that modern hiring managers demand, preparing you to sit for major industry certifications and, more importantly, to thrive in a real-world production environment.
Key Areas Covered
Multi-Cloud Strategy & Fundamentals: Gain a deep understanding of the global infrastructure of AWS, Azure, and GCP. You will learn to navigate their unique consoles, CLI tools, and core services, ensuring you are a versatile engineer capable of working across any major provider.
Cloud Security & Identity (IAM): Security is not an afterthought. We cover the "Shared Responsibility Model" in depth, teaching you how to implement Least Privilege access via IAM, secure VPCs with private subnets, and manage encryption at rest and in transit.
Serverless Architecture & Modernization: Move beyond managing servers. We explore the world of Serverless (AWS Lambda, Azure Functions) and Containerization (ECS, EKS, GKE), showing you how to build applications that scale automatically and cost only what you use.
Infrastructure as Code (IaC) & Automation: In the cloud, manual work is a bug. You will learn to use tools like Terraform and CloudFormation to treat your infrastructure as code, allowing you to version-control, audit, and deploy entire environments with a single command.
Who this course is for
Aspiring Cloud and DevOps engineers, IT professionals transitioning to cloud-native roles, and developers seeking a structured, hands-on path to master multi-cloud architecture and automation.

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