Emerging Technology Free

Cloud Computing Concepts

The course explains cloud service models, deployment models, core services, architecture principles, and security compliance, giving learners a vendor‑neutral foundation to understand and design cloud solutions.

Who Should Take This

It is ideal for IT professionals, system administrators, and developers with basic infrastructure experience who want to grasp cloud fundamentals before pursuing vendor‑specific certifications. The course prepares them to speak confidently about cloud concepts, evaluate service options, and support secure, compliant cloud deployments.

What's Included in AccelaStudy® AI

Adaptive Knowledge Graph

Practice Questions

Lesson Modules

Console Simulator Labs

Exam Tips & Strategy

20 Activity Formats

Course Outline

66 learning goals

1 Cloud Service Models

5 topics

Infrastructure as a Service (IaaS)

Define Infrastructure as a Service (IaaS) and describe the resources it provides including virtual machines, storage, and networking, along with the customer's management responsibilities.
Identify common IaaS use cases including development/test environments, disaster recovery, high-performance computing, and lift-and-shift migrations.

Platform as a Service (PaaS)

Define Platform as a Service (PaaS) and explain how it abstracts infrastructure management to let developers focus on application code and data.
Describe common PaaS offerings including managed databases, application hosting platforms, and container orchestration services, and explain their operational benefits.

Software as a Service (SaaS)

Define Software as a Service (SaaS) and describe how fully managed applications are delivered over the internet with no customer infrastructure management.
Compare IaaS, PaaS, and SaaS across control, flexibility, management burden, and cost, and determine which model is appropriate for a given business scenario.

Serverless and FaaS

Describe serverless computing and Function as a Service (FaaS), and explain how event-driven execution eliminates server provisioning and idle cost.
Evaluate the advantages and limitations of serverless computing including cold start latency, execution time limits, and vendor lock-in considerations.

Shared Responsibility Model

Explain the shared responsibility model and describe how security and management responsibilities are divided between the cloud provider and the customer for each service model.
Analyze a cloud deployment scenario and determine which security responsibilities belong to the customer versus the provider based on the service model in use.

2 Deployment Models

3 topics

Public, Private, and Hybrid Cloud

Define public, private, and hybrid cloud deployment models and describe the infrastructure ownership, access scope, and management responsibilities of each.
Compare public and private cloud models across cost, scalability, security, compliance, and customization, and recommend the appropriate model for a given scenario.
Explain how hybrid cloud combines public and private infrastructure and describe use cases such as cloud bursting, regulatory data residency, and gradual migration.

Multi-Cloud and Edge

Describe the multi-cloud strategy and explain the motivations including vendor lock-in avoidance, best-of-breed service selection, and geographic redundancy.
Describe edge computing and explain how processing data closer to the source reduces latency and bandwidth costs for IoT, gaming, and real-time analytics workloads.
Evaluate the operational challenges of multi-cloud deployments including skill fragmentation, inconsistent IAM, data portability, and increased networking complexity.

Cloud Migration Strategies

Describe the six common cloud migration strategies (rehost, replatform, repurchase, refactor, retire, retain) and explain when each approach is appropriate.
Explain the difference between lift-and-shift migration and cloud-native refactoring, and evaluate the trade-offs in migration speed, cost, and long-term operational efficiency.

3 Core Cloud Services

7 topics

Compute Services

Describe virtual machine-based compute services and explain concepts including instance types, machine images, auto-scaling groups, and placement strategies.
Explain containerization concepts including container images, registries, and orchestration, and describe how containers differ from virtual machines in resource isolation and startup time.
Compare VMs, containers, and serverless functions as compute options and evaluate the trade-offs in management overhead, startup latency, cost, and scalability for different workload types.

Storage Services

Describe object storage and explain its characteristics including flat namespace, HTTP-based access, metadata tagging, and suitability for unstructured data at scale.
Describe block storage and file storage services and explain how they differ from object storage in access patterns, performance characteristics, and typical use cases.
Compare object, block, and file storage across durability, availability, performance, and cost, and recommend the appropriate storage type for a given workload.
Explain storage tiering and lifecycle policies that automatically move data between hot, warm, cool, and archive tiers based on access frequency to optimize cost.

Networking Services

Describe Virtual Private Cloud (VPC) concepts including subnets, route tables, internet gateways, and NAT gateways, and explain how they provide network isolation in the cloud.
Explain load balancing concepts including Layer 4 vs Layer 7 load balancers, health checks, and session affinity, and describe how they distribute traffic across compute instances.
Describe content delivery networks (CDNs) and explain how edge caching reduces latency and origin server load for static and dynamic content.
Explain cloud DNS services and describe how managed DNS provides high availability, low-latency resolution, and routing policies (geolocation, failover, weighted).

Database Services

Describe managed relational database services and explain the operational benefits including automated backups, patching, failover, and read replicas.
Describe managed NoSQL database types including key-value, document, column-family, and graph, and identify the access patterns and data models each is optimized for.
Compare relational and NoSQL database services for a given workload and evaluate the trade-offs in consistency, scalability, query flexibility, and operational complexity.

Messaging and Integration Services

Describe managed message queue services and explain how asynchronous messaging decouples producers from consumers to improve system resilience and scalability.
Compare message queues and publish-subscribe (pub/sub) event systems and explain when each pattern is appropriate for fan-out, point-to-point, and event-driven architectures.

Monitoring and Observability

Describe cloud monitoring services and explain how metrics, alarms, and dashboards provide visibility into resource utilization and application performance.
Explain the three pillars of observability (metrics, logs, traces) and describe how they work together to diagnose performance issues in distributed cloud applications.

Infrastructure as Code

Describe Infrastructure as Code (IaC) and explain how declarative templates or scripts define cloud resources in version-controlled, repeatable configurations.
Compare imperative and declarative IaC approaches and explain the benefits of idempotent infrastructure provisioning including drift detection and environment consistency.

4 Cloud Architecture Principles

4 topics

Scalability and Elasticity

Distinguish between vertical scaling (scale up) and horizontal scaling (scale out) and explain when each approach is appropriate for different workload types.
Explain auto-scaling concepts including scaling policies, cooldown periods, and target tracking, and describe how they maintain performance while minimizing cost.
Describe elasticity as the ability to automatically acquire and release resources based on demand, and explain how it differs from static scalability.

High Availability and Fault Tolerance

Define high availability and explain how redundancy across availability zones and regions protects against hardware failures and data center outages.
Describe fault tolerance design patterns including active-active, active-passive, and pilot light, and explain the recovery time and cost implications of each.
Explain SLA uptime percentages (99.9%, 99.99%, 99.999%) and calculate the maximum allowable downtime per year for each tier.

Cloud Design Patterns

Explain loose coupling as an architecture principle and describe how message queues, event buses, and API gateways decouple components to improve resilience and independent scaling.
Compare monolithic and microservices architectures and evaluate the trade-offs in deployment complexity, team autonomy, latency, and operational overhead.
Describe the concept of designing for failure and explain practices such as circuit breakers, retry with backoff, graceful degradation, and chaos engineering.

Well-Architected Framework Concepts

Identify the common pillars of cloud well-architected frameworks (operational excellence, security, reliability, performance efficiency, cost optimization) and describe the focus of each.
Analyze a cloud architecture against well-architected principles and identify areas where security, reliability, or cost optimization could be improved.

5 Cloud Security and Compliance

4 topics

Cloud IAM

Describe cloud Identity and Access Management (IAM) concepts including users, groups, roles, and policies, and explain how they control access to cloud resources.
Explain the principle of least privilege in cloud IAM and describe how policy conditions, permission boundaries, and service control policies enforce it.
Describe multi-factor authentication and identity federation in the cloud, and explain how they strengthen authentication for human and programmatic access.

Data Protection

Explain encryption at rest and encryption in transit, and describe how cloud key management services (KMS) manage encryption keys with customer-managed and provider-managed options.
Compare server-side encryption, client-side encryption, and envelope encryption, and evaluate which approach is appropriate based on compliance and trust requirements.

Cloud Compliance and Governance

Describe common compliance certifications (SOC 2, ISO 27001, HIPAA, PCI-DSS) and explain how cloud providers achieve and maintain these certifications for their infrastructure.
Explain data sovereignty and data residency requirements, and describe how region selection and data replication policies address regulatory geographic constraints.

Security Monitoring and Logging

Describe cloud-native logging and monitoring services and explain how audit trails, activity logs, and flow logs provide visibility into resource access and network traffic.
Explain how cloud security posture management (CSPM) tools continuously assess configuration against security benchmarks and flag misconfigurations.

6 Cloud Economics and Billing