AWS, Microsoft Azure, and Google Cloud Platform — from foundational to professional level. Every course includes a verified certificate.
Foundation-level cloud concepts, core AWS services, security, and pricing. No prior experience needed.
Design resilient, scalable AWS architectures. 6 full practice exams and hands-on labs included.
Deploy and manage scalable AWS systems. Includes hands-on lab exam preparation.
CI/CD pipelines, infrastructure as code, containers, and DevOps best practices at scale.
Build, train, and deploy ML models using Amazon SageMaker's fully managed platform.
Build interactive dashboards and perform analytics across AWS data using QuickSight.
Core AI and ML concepts, AWS AI services overview, and responsible AI. No coding needed.
Design production-grade AI/ML architectures on AWS including generative AI with Bedrock.
Build event-driven serverless apps using Lambda, API Gateway, DynamoDB, Step Functions and SAM.
Cloud concepts, core Azure services, pricing, and governance. No prior experience required.
Manage Azure identities, VMs, storage, networks, and monitoring as an Azure Administrator.
Design enterprise-grade identity, compute, storage, and application architectures on Azure.
CI/CD pipelines, IaC with Bicep and Terraform, containers, and DevSecOps practices.
Entra ID hardening, Defender for Cloud, Key Vault, Sentinel and network security controls.
VNets, VPN Gateway, ExpressRoute, Azure Firewall, load balancing and Private Link.
Build and deploy Azure apps using App Service, Functions, Cosmos DB, Event Grid and Service Bus.
Lakehouses, Spark notebooks, Dataflows Gen2, data warehouses and Power BI in Microsoft Fabric.
Core data concepts, Azure SQL, Cosmos DB, Synapse Analytics and Power BI basics.
Teams, SharePoint, Exchange, OneDrive, security, compliance, and M365 licensing essentials.
CRM and ERP capabilities — Sales, Customer Service, Finance, Supply Chain and Power Platform.
AI/ML concepts, Azure Vision, Language, Speech, OpenAI Service and responsible AI principles.
Azure OpenAI, RAG patterns, AI Search, Custom Vision, Document Intelligence and Bot Service.
Power Query, DAX, star-schema modelling, interactive reports and PL-300 exam preparation.
Compute Engine, GKE, Cloud Storage, BigQuery, VPC, IAM and the GCP global infrastructure.
Enterprise-scale GCP architecture — compute, data, networking, security and all exam case studies.