Basics Of Cloud Computing with AWS, Azure and GCP Tools

Explore cloud computing basics, definitions, uses, and benefits, gaining a high-level perspective on how cloud and computing combine and impact individuals and businesses.

Understand cloud as computer servers and software accessed over the internet. Access a network of remote servers from your device to store, manage, and process data online.

Explore the meaning of computing, covering the study and use of computers, computing resources, and how cloud computing rents hardware, storage, and processing over the internet.

Define cloud computing as accessing computing resources—servers, storage, software—over the internet, enabling on-demand services and scalable resources you can rent and use from anywhere.

Explore cloud computing services, including infrastructure, storage, and applications, and learn how renting computing resources enables data storage, running apps, analytics, and real-time collaboration.

Explore the uses of cloud computing, including virtual desktops, data storage, databases, apps, servers, analytics, containers, and AI-driven automation, all through scalable pay-as-you-go services.

Explain the benefits of cloud computing, including always ready resources, no installation, pay-for-use flexibility, remote access anywhere, and built-in tools for collaboration, analytics, and disaster recovery.

Explore the fundamentals of cloud computing, its definitions, services, and practical uses and benefits in action.

Master essential cloud terminology and learn the meanings and contexts of key terms. Speak cloud terms confidently as the course builds toward cloud computing concepts.

Build a solid understanding of cloud terminology and vocabulary, exploring cloud native platforms that deploy and manage containers, container runtimes, application runtimes, infrastructure, storage, and services.

Define cloud native as building applications that fully leverage the cloud, not merely hosting them, enabling flexibility, scalability, automation, and resilience.

Define a cloud provider as a company offering online services and computational resources over the internet, like Google, Amazon, Microsoft, and Alibaba.

Discover what a cloud consumer is and how individuals or organizations use cloud computing services provided by a cloud provider, with simple examples like storing files in the cloud.

Define business as activities where people collaborate to earn money by selling goods or services. Show how cloud computing links business to cloud providers and cloud consumers and their services.

Technology means using tools and systems to solve problems and improve life, from simple devices to complex machines, including digital tech, cloud computing, and cloud providers enabling business growth.

Identify platform as a foundation or base that provides tools, environment, or space for others to create and do something, with examples like social media, computer, and learning platforms.

Learn that a technology platform is a collection of components enabling development and deployment of applications within a unified ecosystem, encompassing infrastructure, operating systems, language support, networking, security, and databases.

Define a business domain as a focus area within a company, such as human resources or finance, guiding scope, resources, and organizational focus for better decision making.

Understand the core cloud concepts of services, infrastructure, storage, and software with examples like cloud storage, data centers, and databases.

Explain the term runtime and its environment, showing how runtime tools and libraries enable code execution across platforms, with Java and Python examples and the SAP BTP runtime.

Learn the term container as a lightweight portable box that packages an application and its code libraries and settings, ensuring portability, efficiency, and consistent runtime across environments.

An application is a program or software designed to help you perform specific tasks on your computer, phone, or other devices, including cloud, mobile, desktop, and web apps.

Learn what a container runtime is: a tool that runs containers, starts and stops them, allocates cpu and memory, and enables communication with the outside world.

Understand how application runtime provides the environment, memory, input/output, and system resources for a program to run and interact with the operating system and hardware.

Learn the cloud native application runtime as the environment designed to run cloud native applications, offering tools and services to manage and run apps with scalability, elasticity, and automation.

Recap the cloud terminology and show how these terms fit into the bigger picture of cloud technology and its applications, boosting your confidence in cloud concepts.

Analyze a company’s IT landscape to identify problems, then explore why cloud computing offers solutions. Follow the iceberg metaphor to approach cloud topics gradually, from surface understanding toward practical concepts.

Explore a typical company IT landscape, from production to finance and HR, and learn how IT infrastructure, security, data management, cloud, and automation support every department.

Explore the key information technology landscape problems, data security, availability, disaster recovery, cost, and compliance, and see how cloud computing offers tools and services to address them.

Explore the IT company landscapes and their problems covered in this section, consolidating practical insights for cloud computing beginners.

Explore how digital transformation replaces manual tasks with digital processes, using mobile apps, online payments, and cloud storage to enhance customer experiences.

Discover how digital transformation helps businesses enhance customer experience, monetize new opportunities, and stay competitive by leveraging IT to improve processes.

Explore digital transformation through mobile apps, data-driven insights, and social media engagement that tailor offers, while self-service machines digitalize processes to enhance customer experiences.

Explore how digital transformation reshapes business models to meet customer needs, enable proactive engagement, and guide decisions based on buying patterns and past history.

Explore how the internet of things connects devices via the internet to share data and enable real-time decisions that enhance the customer experience.

Discover big data concepts by examining IoT generated data, such as a driverless car producing 4000 GB daily, and why Hadoop stores and queries this vast data.

Real-time analytics empowers digital transformation by processing massive big data from IoT and customer behavior. Build on-the-fly, personalized product recommendations using insights from structured and unstructured data.

Machine learning uses pattern-based recognition to deliver real-time insights from unstructured data, including images and voice, by learning patterns rather than following explicit programming.

Explore unstructured data, defined as content without a fixed format from social sites and comments, and learn how businesses transform it into structured data for real-time analytics and customer insights.

Explore the ten business expectations from IT, including on-demand scaling, pay-for-use, automation, high availability, disaster recovery, governance, and data analysis to predict customer behavior.

Business pays only for what it uses, with IT resources shared efficiently and costs visible immediately. Drive fast, low-budget innovation through free or minimal-footprint POCs, go/no-go decisions, and market-aware experimentation.

Explore high availability, disaster recovery, and geo location based servers to keep apps up, deploy the latest tech, analyze big data with machine learning, and enable automated self-service governance.

Describe the traditional IT landscape—from planning and vendor selection to procurement, data center setup, and ongoing monitoring—then show cloud simplifies access with a simple login.

Explore the first footprint of cloud computing by examining cloud providers' worldwide market share and annual growth rate, noting Amazon's leadership, Azure's rapid growth, and rivals Google, Alibaba, and Oracle.

Compare business expectations with cloud offerings, including on-demand resource scaling and pay-per-use services. See how dynamic resource pooling, capped pocs, high availability, disaster recovery, and governance address real business challenges.

Explore the economics of cloud computing, focusing on reducing operating costs, universal access, and global standards that enable low-cost testing and faster innovation for new ideas and IoT pilots.

Discover how digital transformation enables intelligent enterprises by integrating infrastructure, data, analytics, application development, integration, and artificial intelligence, while modernizing it for scalability, security, and efficiency.

Discover how intelligent enterprises use data-driven decision making, automation, and AI to optimize operations, enable real-time insights, and drive business innovation.

Explore the traditional technology landscape and its end-to-end IT lifecycle—from business needs to deployment, maintenance, and scalability—covering hardware, software, network design, security, and compliance.

Explore the future state of technology landscape with cloud computing, digital transformation, and subscription-based models, highlighting scalability, cost efficiency, reliability, security, and automation across six technology pillars.

Explore how cloud computing empowers IT to manage complex infrastructure through digital transformation, covering capacity planning, compliance, cost models, vendor lock-in, and multi-cloud ecosystem.

Discover how digital transformation shapes data and databases, including structured, unstructured, semi-structured, operational, analytical, and master data, and learn cloud-based storage, security, processing, and governance.

Explore how cloud analytics architecture enables IT to derive insights from data sources, through ingestion, storage, ETL, analytics, visualization, and machine learning to support digital transformation.

Explore how cloud computing drives application development through digital transformation, using AWS Lambda, RDS, Firebase authentication, FCM, and Azure Monitor for scalable, pay-as-you-go deployment.

Discover how cloud computing enables IT to manage integration across inventory, e-commerce, and CRM using Apigee, MuleSoft, Lambda, Azure Logic Apps, and Google BigQuery for real-time analytics.

Cloud computing enables IT departments to manage intelligence technologies through digital transformation, using predictive analytics, artificial intelligence, and machine learning to optimize healthcare and patient care.

Conclude the section on digital transformation for business and understand how it shapes the future of the intelligent enterprise. Keep exploring the world of digital information and stay engaged.

Explore the five essential characteristics of cloud computing—on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service—and how providers like Azure, Microsoft, and Google embed these features.

Learn how virtualization uses a hypervisor to carve virtual machines from shared physical infrastructure, enabling elastic, self-service cloud resources like CPU, RAM, and storage.

Deliver virtual machines as a service on demand via the internet, not physical servers. Understand virtualization as slicing a physical server into virtual machines with a hypervisor and self-service provisioning.

Explore the five characteristics of cloud computing—on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service—and see how they enable scalable, multi-tenant cloud provisioning.

Understand service models, including infrastructure as a service, platform as a service, software as a service, function as a service, backend as a service, and machine learning as a service.

This lecture explains cloud service models by contrasting provider and consumer roles, outlining responsibility levels, and showing how subscription-based access lets users rent computing resources.

Explore the three cloud service models—infrastructure as a service, platform as a service, and software as a service—and understand how providers categorize offerings for cloud consumers.

Learn infrastructure as a service, IaaS, where cloud providers supply servers, networking, and storage on a pay per use basis while handling maintenance.

Explore how platform as a service provides operating systems, runtimes, and databases to develop, test, and deploy Java, web, mobile, or IoT apps, while handling updates, backups, and state recovery.

Explore software as a service within cloud computing, with examples like Microsoft Office 365 and Dropbox, and compare IaaS, PaaS, and SaaS in a top-down model.

Explore function as a service (FaaS) as an event-driven, pay-per-use cloud model that runs modular, stateless code with automatic scaling and provider-managed infrastructure.

Explore backend as a service, a ready-to-use model offering authentication, database management, cloud storage, and serverless computing via SDKs and APIs.

Explore how machine learning as a service delivers ready-to-use tools, models, and infrastructure via cloud providers. Identify how apis, drag-and-drop interfaces, and customizable models enable easy integration into apps.

Explore cloud service models and how providers deliver resources; compare infrastructure, platform, and software as a service, plus function, backend, and machine learning as a service for serverless development.

Explore cloud deployment options, including public, private, hybrid, and community clouds, and learn real-world use cases, benefits like security and flexibility, and when to choose multi-cloud.

Explore cloud deployment options—from public and private to hybrid, multi, and community clouds—explaining ownership, control, cost, and when to combine services.

Explore the four deployment models—public, private, hybrid, and community cloud—and learn how shared or private hardware, security, and standards shape where organizations run VMs and data.

Explore practical use cases of public cloud, including website hosting, file storage, development and testing, big data analytics, disaster recovery, content delivery, e-commerce, ai, and collaboration tools.

Explore use cases of private cloud, highlighting security, control, and customization for sensitive data and compliance. See private clouds support research and development, disaster recovery, and high-performance workloads.

Discover how hybrid cloud blends public and private clouds to move data and applications with flexibility, scalability, and cost efficiency across seasonal workloads, disaster recovery, analytics, and IoT.

Explore use cases of multi-cloud, including avoiding vendor lock-in, selecting best-in-class services, ensuring high availability, improving global coverage, optimizing costs, meeting compliance, enabling disaster recovery, and enabling innovation.

Discover how community cloud enables sector-specific collaboration with secure, compliant resources for healthcare, government, finance, and beyond. Learn how shared infrastructure reduces costs while meeting regulatory needs and data privacy.

Explore cloud deployment options and map them to public, private, hybrid, and community models. Evaluate real-world use cases and benefits, including multi-cloud for redundancy and vendor flexibility.