Cloud Computing

With real-world projects, Future Finders’ cloud computing courses will help you master the AWS, AZURE, and Google Cloud Platforms. Learn how to deploy and maintain web applications utilising the various cloud services offered by the industry through this course. Our cloud computing certification training courses will help you pass the Microsoft, Google, and Amazon certification exams.

You will become an expert in advanced cloud computing techniques such as load balancing, lambda, EC2, management console, and auto-scaling ideas to enhance web applications with this online and classroom training course.

With practical demo classes, learn everything there is to know about security groups and monitoring tools. Cloud Computing Training in Chennai with Placements will teach you about serverless computing approaches. Our AWS AZURE and GCP Cloud Computing Courses in Mohali with Certifications: Training Options can help you advance your cloud computing skills.

What Is Cloud?

The basic definition of the cloud is a service provider that offers you operating systems, software as a service (SAAS), and other platforms as services (PAAS) apps, and coding environments.

Additionally, it offers infrastructure as a service (IAAS), such as servers, virtual machines, and other resources. You may listen to the audio lecture presented at the top left of the website for more explanation or contact our cloud consultant; we are the finest cloud training facility.

Cloud Computing Advantages:

The advantage of cloud computing is that it lessens the need for hardware because it is less expensive. We may utilise cloud services instead of purchasing, installing, and placing hardware in our everyday lives for things like SERVER RAM ROM, CRM DATABASE, SOFTWARES, and many other things.

Curriculum:

• Grasping the Fundamentals
• Discovering the Value of the Cloud for Business
• Getting Inside the Cloud
• Developing Your Cloud Strategy
• Seeing the Advantages of the Highly Scaled Data Center
• Exploring the Technical Foundation for Scaling Computer Systems
• Checking the Cloud’s Workload Strategy
• Managing Data
• Discovering Private and Hybrid Clouds
• SESSION 9-20: USING PLATFORMS
• Understanding Abstraction and Virtualization
• Capacity Planning
• Exploring Platform as a Service
• Using Google Web Services
• Using Amazon Web Services
• Using Microsoft Cloud Services
• SESSION 21-30: MANAGING THE CLOUD
• Managing and Securing Cloud Services
• Governing the Cloud
• Virtualization and the Cloud
• Managing Desktops and Devices in the Cloud
• Service-Oriented Architecture and the Cloud
• Managing the Cloud Environment
• SESSION 31-40: UNDERSTANDING SERVICES AND APPLICATIONS
• Moving Applications to the Cloud
• Working with Cloud-Based Storage
• Using Webmail Services
• Communicating with the Cloud

Advance level Cloud Computing Course Syllabus:

• Introduction to Cloud Computing
• Defining cloud computing
• Components of a computing cloud
• Differentiating types of clouds: public, private, hybrid
• Delivering services from the cloud
• Categorizing service types
• Comparing vendor cloud products: Amazon, Google, Microsoft and others
• Adopting the Cloud
• Key drivers of cloud computing solutions
• Instantaneous provisioning of computing resources
• Tapping into an infinite storage capacity
• Cost-effective pay-as-you-use billing models
• Evaluating barriers to cloud computing
• Handling sensitive data
• Aspects of cloud security
• Assessing governance solutions
• Exploiting Software as a Service (SaaS)
• Characterizing SaaS
• Streamlining administration with centralized installation
• Optimizing cost and performance with scale on demand
• Comparing service scenarios
• Improving collaboration with business productivity tools
• Simplifying business process creation by integrating existing components
• Inspecting SaaS technologies
• Deploying web applications
• Implementing web services: SOAP, REST
• Choosing a development platform
• Delivering Platform as a Service (PaaS)
• Exploring the technical foundation for PaaS
• Specifying the components of PaaS
• Analyzing vendor PaaS provisions
• Selecting an appropriate implementation
• Building services with solution stacks
• Evaluating the architecture of vendor-specific platforms
• Becoming familiar with service platform tools
• Managing cloud storage
• Controlling unstructured data in the cloud
• Deploying relational databases in the cloud
• Improving data availability
• Employing support services
• Testing in the cloud
• Monitoring cloud-based services
• Analyzing portability across platforms
• Deploying Infrastructure as a Service (IaaS)
• Enabling technologies
• Scalable server clusters
• Achieving transparency with platform virtualization
• Elastic storage devices
• Accessing IaaS
• Provisioning servers on demand
• Handling dynamic and static IP addresses
• Tools and support for management and monitoring
• Building a Business Case
• Calculating the financial implications
• Comparing in-house facilities to the cloud
• Estimating economic factors downstream
• Preserving business continuity
• Selecting appropriate service-level agreements
• Safeguarding access to assets in the cloud
• Security, availability and disaster recovery strategies
• Migrating to the Cloud
• Technical considerations
• Rearchitecting applications for the cloud
• Integrating the cloud with existing applications
• Avoiding vendor lock-in
• Planning the migration and selecting a vendor