Cloud computing Overview
Why Join this Program?
High Demand and Career Opportunities
Cloud computing is a rapidly expanding field with increasing adoption across various industries, leading to high demand for skilled professionals.
In-Demand Skills
Acquiring skills that are applicable to various industries and sectors, from finance and healthcare to retail and technology.
Key Features of Cloud computing
- On-Demand Self-Service
- Broad Network Access
- Resource Pooling
- Rapid Elasticity
- Measured Service
- High Availability and Reliability
Cloud computing Program Details
These key features of cloud computing make it a powerful and versatile technology, providing businesses and individuals with the tools and capabilities to efficiently manage and scale their IT resources.
Learning Path:
This course introduces participants to the principles and practices of cloud computing, covering key concepts, service models, deployment models, and hands-on experience with popular cloud platforms.
By the end of the course, participants will be able to:
- Understand cloud computing concepts, service models, and deployment options.
- Utilize major cloud platforms (e.g., AWS, Azure, GCP) to deploy and manage cloud resources.
- Implement cloud-based solutions for various business needs.
- Manage and optimize cloud infrastructure and services.
- IT professionals and system administrators
- Developers and software engineers
- Business analysts and project managers
- Students and individuals interested in cloud computing
- Basic understanding of IT infrastructure and networking concepts
- Familiarity with operating systems and programming concepts (preferred but not always required)
- Overview: Basics of cloud computing and its impact on IT.
- Topics Covered:
- Definition and benefits of cloud computing
- Key characteristics: On-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service
- Cloud computing vs. traditional IT infrastructure
- Overview: Understanding different service models in cloud computing.
- Topics Covered:
- Infrastructure as a Service (IaaS): Concepts, benefits, and examples (e.g., AWS EC2, Azure VMs)
- Platform as a Service (PaaS): Concepts, benefits, and examples (e.g., Google App Engine, Azure App Services)
- Software as a Service (SaaS): Concepts, benefits, and examples (e.g., Salesforce, Office 365)
- Overview: Exploring different cloud deployment options.
- Topics Covered:
- Public Cloud: Characteristics and examples
- Private Cloud: Characteristics, benefits, and examples
- Hybrid Cloud: Integration of public and private clouds
- Community Cloud: Shared infrastructure for specific communities
- Overview: Introduction to major cloud service providers and their offerings.
- Topics Covered:
- Amazon Web Services (AWS): Core services and features
- Microsoft Azure: Core services and features
- Google Cloud Platform (GCP): Core services and features
- Comparative analysis of major cloud platforms
- Overview: Managing and optimizing cloud resources and infrastructure.
- Topics Covered:
- Provisioning and managing virtual machines and storage
- Networking in the cloud: Virtual networks, VPNs, and load balancers
- Resource scaling and auto-scaling
- Monitoring and performance tuning
- Overview: Ensuring security and compliance in cloud environments.
- Topics Covered:
- Cloud security best practices: Encryption, identity and access management (IAM), and security groups
- Compliance and regulatory requirements: GDPR, HIPAA, etc.
- Incident response and disaster recovery
- Overview: Strategies and tools for migrating to the cloud.
- Topics Covered:
- Cloud migration strategies: Lift-and-shift, re-platforming, and refactoring
- Tools and services for cloud migration
- Deployment strategies: Continuous integration and deployment (CI/CD) pipelines
- Overview: Real-world applications and case studies of cloud solutions.
- Topics Covered:
- Designing and implementing cloud-based solutions for various business needs
- Case studies of successful cloud implementations
- Industry-specific cloud use cases and solutions
Course Duration:
Typically: 8 to 12 weeks, depending on the depth and format of the course.
Skills Covered
- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS)
- Software as a Service (SaaS)
- Understanding Cloud Concepts
- Cloud Terminology
- Public Cloud
- Private Cloud
- Hybrid Cloud
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
- Deployment Automation