Innovative Cloud Engineer: Data Management, AWS & Azure Cloud, AI Development (m/f/d)

Course overview

The Innovative Cloud Engineer focuses on data management in AWS and Azure cloud environments. They develop and implement AI solutions on Azure platforms, optimize database systems, and integrate cloud computing strategies. Their main tasks include designing scalable data architectures, migrating applications to the cloud, setting up automated data pipelines, and implementing AI models. They ensure data security, analyze infrastructure performance, and create documentation. The Cloud Engineer works on optimizing cost structures and supports technical challenges in the cloud environment. Azure Developer + AI Engineer - Developing Intelligent Applications with Azure • Purposefully integrate Azure services into AI projects - Practical AI integration into cloud applications • Efficiently operate web apps, APIs & containers with Azure - Implement containerization with Container Apps & AKS practically • Realize scalable AI backends in Azure applications - Data platforms, vector search & event control • Develop and deploy generative AI with Microsoft Foundry - Apply models & RAG in practice • Analyze images, speech, and text with Azure AI - Integrate multimodal AI and content understanding • Develop generative AI & agents with Microsoft Foundry - Productively deploy intelligent workflows • Unlock documents and knowledge for AI applications - Use RAG, search & information extraction • Design CI/CD & observability for Azure AI applications - Automatically deploy and monitor solutions • Secure Azure environments and AI applications - Manage identities, secrets & configurations securely • Analyze & optimize resource consumption - Control scaling, performance & AI costs • Responsible AI & secure AI automation - Operate generative AI and agents responsibly • Preparation for Microsoft certifications (AI-200 & AI-103) - Exam simulation & competency assessment Cloud Computing (AWS) - Key Competencies and Applications for Businesses • Make architectural decisions & operational models in the AWS cloud - Cloud fundamentals: control regions, responsibilities & performance • Productively implement compute & storage strategies in AWS - Efficiently plan & scale network architecture • Implement role-based access control with IAM - Actively configure & test security services • Plan & integrate relational & NoSQL databases - Manage data lakes & backups in productive environments • Implement CI/CD pipelines with Terraform & GitHub - Operate containerized applications with ECS/EKS • Train & deploy ML models with SageMaker - Practically use & automate AI services • Prepare & execute migration projects - Securely operate hybrid workloads • Actively control & optimize cloud costs - Realize sustainability & resource efficiency with AWS tools • Exam preparation for AWS Certified Cloud Practitioner Databases and SQL - Efficient Data Management and Analysis • Understand database architectures in enterprise use - Practically classify data models, data types & metadata • Model relat…

Upcoming dates

• 2026-09-20T22:00:00.000Z · 2027-01-24T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-09-20T22:00:00.000Z · 2027-01-24T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-09-20T22:00:00.000Z · 2027-01-24T23:00:00.000Z · Dortmund · Combined Learning
• 2026-09-20T22:00:00.000Z · 2027-01-24T23:00:00.000Z · Heidelberg, Neckar · Combined Learning
• 2026-09-20T22:00:00.000Z · 2027-01-24T23:00:00.000Z · Dortmund · Combined Learning