Cloud Computing with Azure or AWS
Develop your skills in cloud computing by working on real-world projects and gaining practical experience with Azure or AWS to become an expert in cloud design, services, and security.
- Introduction to cloud computing concepts and models.
- Cloud models (IaaS, PaaS, SaaS), cloud deployment types.
- Explore basic cloud services and platforms.
- Overview of major cloud service providers.
- AWS, Azure, Google Cloud.
- Create accounts and navigate through major cloud platforms.
- Understanding cloud infrastructure components.
- Virtualization, storage, and compute resources.
- Configure virtual machines and storage.
- Designing cloud architectures.
- High availability, scalability, and disaster recovery.
- Design a basic cloud architecture for a use case.
- Exploring cloud storage options.
- Object storage, block storage, and file storage.
- Set up and manage cloud storage solutions.
- Introduction to cloud database services.
- SQL vs. NoSQL databases, managed database services.
- Configure and manage cloud databases.
- Understanding cloud security principles.
- Identity and access management, data protection.
- Implement basic security measures in a cloud environment.
- Compliance and governance in cloud computing.
- Regulatory requirements, auditing.
- Implement compliance controls and perform audits.
- Understanding cloud networking concepts.
- Virtual private networks, load balancing.
- Configure networking components in a cloud environment.
- Advanced networking features in cloud computing.
- VPC peering, CDN.
- Implement advanced networking features.
- Understanding DevOps practices in the cloud.
- CI/CD pipelines, automation tools.
- Set up a basic CI/CD pipeline.
- Tools and techniques for automating cloud infrastructure.
- Infrastructure as Code (IaC), automation scripts.
- Create and manage infrastructure using automation tools.
- Understanding cloud migration strategies.
- Migration planning, tools.
- Develop a migration plan for a sample application.
- Advanced techniques for cloud migration.
- Data migration, application re-platforming.
- Implement a cloud migration project.
- Managing and optimizing cloud costs.
- Cost management tools, budgeting.
- Analyze and optimize cloud costs.
- Advanced strategies for controlling cloud costs.
- Reserved instances, cost forecasting.
- Develop cost management strategies.
- Implementing scalability in cloud environments.
- Auto-scaling, load balancing.
- Set up and configure auto-scaling.
- Optimizing performance in the cloud.
- Performance monitoring, tuning.
- Perform performance tuning and monitoring.
- Introduction to AI services in the cloud.
- AI tools, machine learning services.
- AI tools, machine learning services.
- Developing AI solutions using cloud platforms.
- AI models, integration with cloud services.
- Build and deploy an AI solution on the cloud.
- Exploring new trends and technologies in cloud computing.
- Serverless computing, edge computing.
- Research and discuss emerging cloud trends.
- Understanding the future direction of cloud computing.
- Cloud innovations, industry predictions.
- Analyze future trends and their impact on the industry.
- Planning a real-world cloud computing project.
- Project scope, design.
- Develop a project plan for a cloud computing project.
- Presenting the cloud project and preparing for a career in cloud computing.
- Project presentation, career planning.
- Present the final project and develop a career plan.
Cloud Computing with Azure or AWS
Frequently Asked Questions
Cloud computing is the delivery of computing services (including storage, processing, and networking) over the internet, allowing for on-demand access to resources. It is important because it offers scalability, cost-efficiency, flexibility, and enables businesses to innovate and deploy services rapidly.
Different types of cloud services include: Infrastructure as a Service (IaaS): Provides virtualized computing resources over the internet. Platform as a Service (PaaS): Offers hardware and software tools over the internet. Software as a Service (SaaS): Delivers software applications over the internet. Function as a Service (FaaS): Provides serverless computing services.
To start learning cloud computing: Take online courses: Platforms like Coursera, Udemy, and AWS Training offer cloud computing courses. Get hands-on practice: Use free tiers of cloud platforms like AWS, Azure, and Google Cloud. Pursue certifications: Obtain cloud certifications to validate your skills. Join cloud communities: Engage with professionals and stay updated on trends.
Common cloud computing platforms include: Amazon Web Services (AWS): A comprehensive and widely-used cloud platform. Microsoft Azure: A cloud platform offering a wide range of services. Google Cloud Platform (GCP): A cloud platform with strong data analytics capabilities. IBM Cloud: A cloud platform focused on AI and enterprise solutions. Oracle Cloud: A cloud platform specializing in database services.
Benefits include: Scalability: Easily scale resources up or down based on demand. Cost-efficiency: Pay only for the resources you use. Flexibility: Access resources from anywhere, anytime. Disaster recovery: Ensure data protection and recovery in case of failures. Innovation: Quickly deploy and experiment with new applications and services.