Cloud Architect Data, Cloud Infrastructure, Multi-Cloud

Course overview

Course: Cloud Architect Data, Cloud Infrastructure, Multi-Cloud Cloud Architect Data, Cloud Infrastructure, Multi-Cloud This hands-on course prepares you to plan, implement, and manage complex cloud architectures across multiple platforms. You will learn to develop data strategies, design cloud infrastructures, and effectively orchestrate multi-cloud environments with AWS, Azure, and Google Cloud. The program combines architectural knowledge with data engineering and cloud governance. *Target Audience** The course is aimed at cloud engineers, system architects, IT consultants, administrators, and data professionals who wish to specialize in cloud infrastructure design, data management, and multi-cloud strategies. *Course Level** Advanced to Professional. The program is designed for participants with solid cloud fundamentals who want to deepen their knowledge in architecture, data integration, and strategic cloud design. *Recommended Prerequisites** Basic knowledge of cloud computing, networking, and IT administration. Recommended: "AWS Cloud Practitioner Essentials" or "Microsoft AZ-900 - Azure Fundamentals". --- !Agenda #!Module 1: Architectural Principles and Cloud Design Fundamentals This module teaches the architectural fundamentals of cloud infrastructure. You will learn to design scalable, secure, and flexible systems across multiple platforms. Practical example: Comparison of cloud architectures for AWS, Azure, and Google Cloud. Introduction to cloud architecture and design principles Service models and architectural concepts (IaaS, PaaS, SaaS) Multi-region and hybrid architectures High availability, security, and cost optimization Governance and design frameworks (Well-Architected Frameworks) #!Module 2: Data Architecture and Cloud Data Management In this module, you will learn how to build and integrate data architectures in the cloud. You will work with relational and non-relational databases and learn to automate data flows. Practical example: Building a cloud data platform with AWS RDS, Azure Synapse, and BigQuery. Data architecture models in the cloud AWS RDS, DynamoDB, Redshift / Azure SQL, Cosmos DB / Google BigQuery Data lakes and ETL processes Data security, governance, and compliance Cost optimization and storage strategies #!Module 3: Cloud Infrastructure and Automation This module provides you with the know-how to provision and automate cloud resources. You will learn how Infrastructure as Code (IaC) is used in multi-cloud environments. Practical example: Automated infrastructure provisioning with Terraform and CloudFormation. Basics of Infrastructure as Code (IaC) Terraform, CloudFormation, and Azure Resource Manager Network design and virtualization (VPC, VNets, Load Balancing) Containerization with Docker and Kubernetes Scaling, monitoring, and cost control #!Module 4: Multi-Cloud Strategies and Governance In this module, you will learn how to plan, integrate, and manage multi-cloud architectures. You will address security…

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-10-14T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-12-29T23:00:00.000Z · Nürnberg, Mittelfranken · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-10-14T22:00:00.000Z · Nürnberg, Mittelfranken · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-12-29T23:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-12-29T23:00:00.000Z · München · Combined Learning