Mentor Based
Cloud Computing Basics
Understanding the Power of the Cloud for Scalable and Secure Computing
Early access to e-LMS included
About This Course
The Cloud Computing Basics program provides a foundational understanding of cloud computing, covering essential concepts, deployment models, and industry-leading platforms such as AWS, Microsoft Azure, and Google Cloud. Participants will gain practical insights into cloud storage, virtualization, security, and cloud-based application development. This program is designed to equip professionals, students, and business leaders with the necessary knowledge to adopt and implement cloud solutions effectively.
Aim
To introduce participants to the fundamentals of cloud computing, its architecture, key service models, and real-world applications, enabling them to leverage cloud technologies for scalable and efficient computing solutions.
Program Objectives
- To introduce participants to the core concepts and benefits of cloud computing.
- To provide hands-on experience with cloud platforms and services.
- To train participants in cloud security, compliance, and best practices.
- To explore real-world applications of cloud computing in various industries.
- To prepare participants for cloud computing certifications and career opportunities.
Program Structure
Week 1: Introduction to Cloud Computing and Core Concepts
Module 1: Understanding Cloud Computing
- What is Cloud Computing?
- Definition and characteristics (On-demand, scalability, elasticity, etc.).
- Evolution of cloud computing.
- Benefits of cloud computing: Cost, performance, and flexibility.
- Cloud Computing Models
- Infrastructure as a Service (IaaS).
- Platform as a Service (PaaS).
- Software as a Service (SaaS).
- Differences and use cases.
- Cloud Deployment Models
- Public cloud, private cloud, hybrid cloud, and multi-cloud.
- Choosing the right model based on business needs.
Module 2: Cloud Service Providers and Technologies
- Overview of Major Cloud Providers
- AWS, Microsoft Azure, Google Cloud, IBM Cloud.
- Comparison of cloud offerings and pricing models.
- Fundamentals of Virtualization
- How virtualization enables cloud computing.
- Virtual Machines (VMs) vs Containers (Docker, Kubernetes).
- Cloud Security Fundamentals
- Shared responsibility model in cloud security.
- Basic security measures: Authentication, encryption, and firewall settings.
Hands-On Activity:
- Setting up a free-tier cloud account (AWS, Azure, or Google Cloud).
- Exploring the cloud provider’s dashboard and basic services.
Week 2: Cloud Infrastructure, Networking, and Storage
Module 3: Cloud Infrastructure and Compute Services
- Understanding Compute Resources
- Virtual Machines (EC2, Azure VMs, Google Compute Engine).
- Serverless computing: AWS Lambda, Azure Functions, Google Cloud Functions.
- Load Balancing and Auto Scaling
- Ensuring reliability and scalability in cloud applications.
- Hands-on: Deploying a simple auto-scaled web application.
Module 4: Cloud Networking and Storage
- Cloud Networking Concepts
- Virtual Private Cloud (VPC) and its components.
- Subnets, security groups, and firewalls.
- DNS and Content Delivery Networks (CDN).
- Cloud Storage Solutions
- Object storage vs. block storage vs. file storage.
- Hands-on: Setting up and managing cloud storage (Amazon S3, Google Cloud Storage, Azure Blob Storage).
Week 3: Cloud Security, Management, and Future Trends
Module 5: Cloud Security and Compliance
- Key Security Challenges in the Cloud
- Data breaches, identity theft, and insider threats.
- Implementing cloud security best practices.
- Identity and Access Management (IAM)
- Role-based access control (RBAC).
- Managing user permissions and policies.
- Compliance and Legal Considerations
- GDPR, HIPAA, and industry-specific regulations.
- Security tools provided by cloud providers.
Module 6: Cloud Cost Management and Future Trends
- Cost Optimization Strategies in Cloud Computing
- Pay-as-you-go model and cost-saving techniques.
- Monitoring usage and cost analysis tools (AWS Cost Explorer, Azure Cost Management).
- Future Trends in Cloud Computing
- AI and machine learning in cloud computing.
- Edge computing and serverless architectures.
- Quantum computing in the cloud.
Who Should Enrol?
- IT professionals and system administrators
- Software developers and cloud engineers
- Business professionals exploring cloud adoption
- Students and researchers in computer science and information technology
Program Outcomes
- Fundamental understanding of cloud computing concepts and architectures
- Hands-on experience in cloud-based virtualization, storage, and networking
- Knowledge of cloud security and compliance best practices
- Ability to deploy and manage cloud applications using leading cloud platforms
- Awareness of career opportunities and industry certifications in cloud computing
Fee Structure
Standard: ₹16,998 | $224
Discounted: ₹8,499 | $112
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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