Mobile savvy? You’re already halfway to mastering any tech skill.
Mobile savvy? You’re already halfway to mastering any tech skill.
This course is designed to provide you with a comprehensive understanding of cloud computing, covering the deployment, management, and optimization of cloud-based solutions. You will learn how to leverage cloud platforms, virtualization, and networking to enhance scalability, security, and efficiency in modern IT environments.
Discover and master the tools and methods that will allow you to shine in the world of Cloud Computing
Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, and analytics—over the internet. It allows users to access computing resources on demand without needing physical infrastructure.
Digital Virtualization allows multiple operating systems to run on a single physical server using software called a hypervisor (e.g., VMware, KVM, Hyper-V). It improves resource efficiency and isolation.
Social ach provider offers a suite of services, including compute, storage, networking, and AI solutions. Compute Services AWS EC2, Azure VMs, Google Compute Engine (GCE) – Virtual machines for hosting applications. Autoscaling & Load Balancing – Automatically manage workload spikes.
Security Best Practices in Cloud Principle of least privilege Secure API gateways Continuous security monitoring Cloud Identity & Access Management Role-based access control (RBAC) Multi-factor authentication (MFA)
Introduction to DevOps & CI/CD DevOps integrates development and operations for faster software delivery. CI/CD pipelines automate testing and deployment (e.g., AWS CodePipeline, Azure DevOps). Infrastructure as Code (IaC) Terraform, CloudFormation, ARM Templates – Automate cloud infrastructure setup.
Serverless Computing AWS Lambda, Azure Functions – Run code without managing servers. Microservices Architecture Build scalable, independent services using containers and APIs. Cloud Databases SQL (RDS, Azure SQL, Cloud SQL) NoSQL (DynamoDB, CosmosDB, Firebase)
Edge Computing & IoT Deploy applications closer to users for low latency (AWS Greengrass, Azure IoT). AI & Machine Learning in Cloud AWS SageMaker, Azure AI, Google AI for AI model training. Multi-cloud & Hybrid Cloud Strategies Use multiple providers to reduce risk and improve redundancy. Cloud Cost Optimization Reserved instances, auto-scaling, right-sizing resources.
With our comprehensive data science course, covering key topics such as data mining, machine learning, statistical modeling, and data visualization, using tools like Python, R, and SQL. Gain hands-on experience working with real-world datasets and develop skills to extract insights, predict trends, and drive business decisions, preparing you for a successful career in data science and related fields like business intelligence, analytics, and AI.
Learn to design, build, and launch dynamic websites and applications. Our web development course covers key topics including programming languages (HTML, CSS, JavaScript), development frameworks (React, Angular, Vue.js), databases (MySQL, MongoDB), and web design principles ( responsive design, accessibility).
