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Our courses cover all essential cloud computing topics in a comprehensive manner.
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Engage in interactive sessions offering practical insights and hands-on experience.
Introduction
Code & Slides Download
What is Cloud Computing?
EC2 - Elastic Compute Cloud
ELB & ASG - Elastic Load Balancing & Auto Scaling Groups
Amazon S3
Databases & Analytics
Other Compute Services: ECS, Lambda, Batch, Lightsail
Deployments & Managing Infrastructure at Scale
Leveraging the AWS Global Infrastructure
Cloud Integrations
Cloud Cloud Monitoring
Market Research
Website Building
Search Engine Optimization (SEO)
Email Marketing
Google Analytics
Prompt Engineering with ChatGPT
Our Cloud Computing course is designed to provide comprehensive training for individuals looking to excel in the rapidly evolving field of cloud technologies. Throughout this course, you will gain essential knowledge and hands-on experience with leading cloud platforms, covering fundamental concepts and advanced techniques. You’ll learn how to design, deploy, and manage cloud infrastructure, understand the principles of cloud security, optimize cloud performance, and develop skills in automation and orchestration. Whether you’re starting your journey in cloud computing or aiming to deepen your expertise, this course equips you with the practical skills and industry insights needed to succeed in today’s digital landscape.
Develop a platform that leverages cloud services to collect, process, and analyze large datasets in real-time. The project can include integration with popular data visualization tools and machine learning algorithms to provide actionable insights.
Create a serverless web application using services like AWS Lambda or Azure Functions. The application can include user authentication, database interactions, and real-time updates, showcasing the advantages of a serverless architecture in terms of scalability and cost-efficiency.
Build a complete DevOps pipeline on a cloud platform, incorporating continuous integration, continuous delivery (CI/CD), automated testing, and monitoring. Use tools like Jenkins, Docker, and Kubernetes to demonstrate how cloud services can streamline and automate the development and deployment processes.
Develop a tool or platform that allows for seamless deployment and management of applications across multiple cloud providers such as AWS, Azure, and Google Cloud. This project can include features for resource allocation, cost optimization, and failover strategies to ensure high availability and reliability across different cloud environments.