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Cloud Computing

AWS Fundamentals & Architecture

  • IT admins and cloud engineers managing AWS environments
  • Solutions architects designing AWS-based infrastructure
  • Developers migrating workloads or building cloud-native apps on AWS

AWS powers a huge share of enterprise infrastructure. Teams that understand its core services and architecture build faster, more cost-efficient, and more reliable systems — instead of learning expensive lessons in production.

  • Core AWS services: EC2, S3, VPC, IAM, RDS
  • Designing scalable, fault-tolerant architectures
  • Cost optimization and resource management
  • Migrating workloads to AWS

Microsoft Azure Fundamentals & Architecture

  • Enterprise IT teams in Microsoft-heavy environments
  • Developers building on Azure
  • System admins moving infrastructure to Azure

Most enterprises already run on Microsoft — Azure skills let teams extend that investment into the cloud confidently, without costly missteps during migration or scaling.

  • Core Azure services: VMs, Azure AD, Storage, Networking
  • Architecting secure, scalable Azure solutions
  • Integrating Azure with existing Microsoft infrastructure
  • Migration and hybrid-cloud strategies

Google Cloud Platform (GCP)

  • Data engineers working in data-heavy environments
  • ML practitioners building AI/analytics workloads
  • Developers working in GCP-based ecosystems

GCP leads in data and AI infrastructure. Teams trained on GCP can build smarter analytics and ML pipelines, giving data-driven organizations a real performance edge.

  • Core GCP services: Compute Engine, BigQuery, Cloud Storage
  • Building data and ML pipelines on GCP
  • Architecting for analytics and AI workloads
  • Cost management and scaling on GCP

Cloud-Native & Multi-Cloud Engineering

  • Cloud architects designing cross-provider systems
  • Senior engineers building resilient, scalable applications

Relying on a single cloud provider is risky. Multi-cloud skills give organizations flexibility, resilience, and negotiating power — while avoiding costly vendor lock-in.

  • Cloud-native architecture: containers, microservices, Kubernetes
  • Designing for portability across cloud providers
  • Resilience, scalability, and fault tolerance
  • Multi-cloud orchestration and management tools

Cloud Security

  • Security analysts protecting cloud infrastructure
  • Cloud engineers implementing security controls
  • Compliance teams responsible for data protection

A single cloud misconfiguration can lead to a major breach. Strong cloud security skills protect company data, customer trust, and regulatory standing — before incidents happen, not after.

  • Identity and access management (IAM) best practices
  • Securing cloud networks, storage, and workloads
  • Compliance and regulatory requirements in the cloud
  • Threat detection and incident response

FinOps (Cloud Cost Optimization)

  • Cloud architects managing infrastructure spend
  • DevOps engineers optimizing resource usage
  • Finance and IT managers controlling cloud budgets

Cloud costs spiral fast without oversight. FinOps skills help teams cut waste, forecast spending accurately, and turn cloud cost management into a competitive advantage.

  • Cloud cost monitoring and reporting
  • Rightsizing resources and eliminating waste
  • Budgeting and forecasting cloud spend
  • Building a cost-conscious engineering culture

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