
Explore cloud deployment models—public clouds with on-demand services, private clouds on dedicated infrastructure, and hybrid clouds orchestrating both for secure data transfer.
Learn about the instructor's identity and why they use an alias to separate training from personal cloud accounts across multiple providers on cloud edu.com.
Explore an instructor with 25+ years shaping secure, scalable cloud infrastructure and hybrid cloud designs, covering data center setup, disaster recovery, system security, OS hardening, network and storage, and DevOps.
Explore the history and core concepts of cloud computing, including virtual machines, containers, serverless, deployment models, data centers, and services powered by AI, ML, DL, and IoT.
Explore cloud computing as on-demand access to computer resources, including data storage and computing power, managed by providers rather than users, accessible via internet browsers or cloud software.
Explore how cloud computing offers physical servers, virtual machines, containers, databases, networking, web servers, load balancers, AI software, ML, IoT, and gaming, enabling on-premises capabilities in the cloud.
Explore the history of cloud computing, tracing where it started and who first pondered the idea.
Trace the history of cloud computing from 60-year roots in mainframes to time-sharing systems that enable multiple users and maximize ROI.
John McCarthy developed time sharing theory to maximize scarce and expensive computing time, sharing resources among users and making mainframe access affordable for smaller companies.
Explore a giant step into cloud computing, tracing roots to J. C. R. Licklider’s idea of an interconnected system of computers in the mid 1960s, leading to ARPANET.
Explore the birth of the internet with ARPANET, the first network enabling shared resources across computers. Learn how Licklider envisioned universal access to programs and data, shaping cloud computing today.
Explore virtual machines and server virtualization that enable multiple applications to run on a single physical server, enabling cloud computing, with examples like VMware, hypervisor, and KVM.
Virtualization powers the cloud by enabling multiple virtual machines with hypervisors like VMware, Xen, Hyper-V, and KVM. These enterprise tools make cloud infrastructure scalable on laptops, servers, and the cloud.
Explore containerization and how containers are lightweight, standalone packages that bundle code, libraries, and configuration for isolated execution that can communicate through well-defined channels in the cloud.
Explore virtualization and containerization, comparing hypervisors like VirtualBox and KVM to Docker Engine in VMs and cloud, enabling cost-effective POC and testing across operating systems.
Compare virtual machines and Docker containers across size, startup time, and integration for cloud environments; Docker uses fewer resources, boots in seconds, and integrates with tools more easily.
Explore the factors behind cloud computing's popularity and the ingredients for success, examining how cloud services become accessible by most users.
Explore the world wide web and its role in sharing documents and accessing cloud offerings worldwide via a web interface, sparked by Tim Berners-Lee and Robert Cailliau at CERN.
See how the personal computer and cell phone enable internet access and cloud computing, and learn about pioneers who advanced wireless networks and mobile cloud services.
Explore the client-server concept that underpins cloud computing, showing how servers provide services, share data and resources to multiple clients, whether on the same device or across a network.
Explore the client-server architecture, where servers host virtual machines or Docker containers, run applications, databases, and web servers, and are orchestrated by Swarm, Kubernetes, or OpenShift, delivering services.
Trace the history of cloud computing and discover how the current cloud, as we know it today, came about.
Trace how data centers, client-server architecture, virtualization, and containerization converged to form public, private, and hybrid clouds, enabling APIs and web-accessible services.
Cloud computing provides on-demand access to data storage and computing power without direct active management by the user, with virtual machines sharing physical resources in data centers and networks.
Explore what data centers are, including their role in housing computer systems, telecommunications, and storage to support on-demand cloud resources. Learn how providers build massive centers worldwide for high availability.
Explore the different cloud deployment models and their purposes, then examine what the cloud offers and how services are grouped into models.
Describe cloud deployment models—public, private, and hybrid clouds—and how on-demand, pay-for-use resources enable secure data transfer between private and public clouds.
Explore the growing cloud computing market and identify the major providers and vendors introduced in this first lecture of the course.
Explore major cloud service providers and vendors, including Amazon AWS, Microsoft Azure, Google Cloud Platform, Oracle Cloud Infrastructure, IBM Cloud, and Alibaba Cloud; some others remain unknown.
Analyze cloud computing market shares, with AWS 33% and Azure 18%, Google Cloud 9%, Alibaba 6%, IBM 5%, Salesforce 3%, Tencent 2% and Oracle 2%.
Explore why cloud computing matters and address ongoing speculations about adoption. Learn why moving resources to the cloud can benefit organizations as adoption grows.
Explore the pros and cons of cloud computing to inform a sound decision on whether to move to the cloud.
Leverage cloud computing to gain hassle-free infrastructure, reduced costs, disaster recovery, and higher uptime, while navigating the move to the cloud, cost transparency, vendor lock-in, and security concerns.
Explore the three common cloud service models - IaaS, PaaS, and SaaS - and contrast them with on-premises infrastructure while clarifying what each offers and who manages it.
Examine the three cloud service models—SaaS, PaaS, and IaaS—with examples such as Gmail, Office 365, and virtual machines to help select the right solution.
Explore new cloud service models, including faas, daas, desktop as a service, mobility as a service, monitoring as a service, container as a service, and storage as a service.
Explore aws cloud services, including compute, storage, database, AI, ML, networking developers tool, migration tool to aws, illustrating the growing cloud ecosystem.
Explore Google GCP cloud services, including compute, storage, databases, AI and ML, artificial intelligence and machine learning, and deep learning, networking, developer tools, and migration tools to GCP.
Explore Azure cloud services and the expanding catalog of Microsoft Azure offerings. Use the provided link to access the official Azure services page for detailed information.
Explore Oracle OCI cloud services and how they relate to cloud computing, while guiding learners to Oracle's cloud products page as the list grows.
Examine ai, artificial intelligence, machine learning, dl, deep learning, and iot within cloud services and their growing role in cloud computing.
Explore artificial intelligence, machine learning, deep learning, and the internet of things in cloud contexts, with real-world examples from the GE jet engine and agriculture field monitoring.
Explore what serverless means in the cloud, clarify common misconceptions, and begin building an intuitive understanding of serverless services.
Explore how to get started with the cloud and understand practical steps for moving to the cloud. Get clear guidance and support for beginners.
Get trained by cloud edu.com, run an assessment, and evaluate your applications to identify those fit for the cloud, then plan and migrate the candidate apps, and optimize operations.
Learn to simplify migration of on premises infrastructure to public cloud, manage cloud resources with security policies and access control lists, and train teams in private and virtual cloud design.
In this comprehensive Introduction to Cloud Computing course, you'll gain an in-depth understanding of the foundational concepts and practical applications of cloud technology. Cloud computing has become the backbone of modern businesses, offering unparalleled flexibility, scalability, and cost-efficiency. Whether you're an aspiring IT professional, a seasoned developer, or a business executive looking to leverage the power of the cloud, this course provides the essential knowledge and skills to propel your career and drive your organization's digital transformation.
This is a Comprehensive Curriculum: Dive deep into the core principles of cloud computing, including types of cloud services, deployment models, and key technologies. Learn from industry-leading experts with extensive experience in cloud architecture, security, and deployment, providing you with valuable insights and best practices.
Whether you're looking to build a strong foundation in cloud computing, enhance your organization's IT infrastructure, or stay ahead in the competitive job market, this course is your definitive guide to unlocking the full potential of cloud technology.
You will learn about the following topics:
Introduction to Cloud Computing
History of Cloud Computing
Time-sharing theory
The Birth of the Internet
Virtual Machine / Containers
The Means for the Popularity of Cloud Computing
The World Wide Web
The Personal Computer and the Cell Phone
The Client-Server Concept & Architecture
How did the Cloud come about?
The Infrastructure for Cloud Computing – Data Centers
Cloud Deployment Models
Cloud Computing Providers/Vendors
Cloud Computing Market Shares
Why use the Cloud?
Cloud Computing Pros & Cons
Cloud Service Models
Cloud Vendors different Services
Intelligence in the Cloud
AI (Artificial Intelligence)
ML (Machine Learning)
DL (Deep Learning) and
IoT (Internet of Things)
Serverless
Cloud Computing Getting Started
How to get started with Cloud Computing
What next with Cloud Computing?
Enroll now and join the ranks of cloud-savvy professionals transforming the future of business and technology!