The Cloud-Based AI and Data Engineering in Vienna is a professional training course designed to equip participants with the skills to build, deploy, and manage AI solutions on cloud platforms.
From:
26-01-2026
From:
04-05-2026
Course Overview
As organizations shift to digital-first strategies, cloud computing has become the backbone of AI and data engineering. This Cloud-Based AI and Data Engineering Training Course provides participants with practical knowledge of building big data pipelines, deploying AI models, and optimizing data workflows on leading cloud platforms.
Participants will explore cloud services for AI, storage, and analytics, learning to design scalable architectures that support innovation. Case studies and labs will illustrate how enterprises use the cloud for real-time data processing, AI-driven insights, and cost-efficient scalability.
By the end of the course, attendees will be able to leverage cloud platforms to integrate data pipelines, deploy machine learning models, and support enterprise-wide AI initiatives.
Course Benefits
Gain practical skills in cloud-based data engineering
Deploy AI and machine learning models in the cloud
Design scalable data pipelines for big data analytics
Optimize performance and costs with cloud solutions
Strengthen enterprise AI adoption with cloud strategies
Course Objectives
Explore cloud services for AI and data engineering
Build and manage big data pipelines in the cloud
Apply tools for real-time data streaming and analytics
Deploy and monitor machine learning models on cloud platforms
Ensure governance, security, and compliance in cloud AI solutions
Integrate cloud-based AI into enterprise strategies
Foster innovation with scalable and flexible architectures
Training Methodology
This course blends instructor-led sessions, case studies, group projects, and hands-on labs with cloud tools. Participants will design and test solutions using real-world datasets and cloud platforms.
Target Audience
Data engineers and cloud specialists
AI and machine learning professionals
IT managers and solution architects
Business leaders driving digital transformation
Target Competencies
Cloud AI deployment and management
Data pipeline engineering
Big data analytics and streaming
Secure and scalable cloud architecture
Course Outline
Unit 1: Cloud Fundamentals for AI and Data Engineering
Cloud computing essentials
Overview of leading cloud providers (AWS, Azure, GCP)
Benefits and challenges of cloud adoption
Case studies of AI in the cloud
Unit 2: Data Engineering in the Cloud
Designing data pipelines for big data
Data ingestion, transformation, and storage
Cloud tools for ETL (Extract, Transform, Load)
Real-world exercises in pipeline creation
Unit 3: Cloud-Based AI Deployment
Hosting machine learning models on cloud platforms
Containerization and serverless deployment
Monitoring and scaling AI models
Hands-on lab: deploying a predictive model
Unit 4: Real-Time Analytics and Streaming Data
Tools for real-time data processing
AI applications in live data streams
Case studies of streaming analytics in business
Practical exercise with streaming datasets
Unit 5: Governance, Security, and Future of Cloud AI
Data governance in cloud environments
Compliance and risk management
Optimizing costs and performance in cloud AI
Future trends in cloud-based data engineering
Ready to scale AI with the cloud?
Join the Cloud-Based AI and Data Engineering Training Course with EuroQuest International Training and build the skills to power enterprise innovation.
The Cloud-Based AI and Data Engineering Training Courses in Vienna offer professionals an advanced understanding of how cloud technologies, artificial intelligence, and data engineering intersect to build scalable, high-performance data solutions. Designed for data engineers, AI specialists, cloud architects, and business leaders, these courses focus on leveraging the power of cloud platforms to deploy AI models, process big data, and engineer robust data pipelines that drive business innovation and strategic decision-making.
Participants gain a comprehensive understanding of cloud-based AI frameworks, including the deployment and management of machine learning models, deep learning networks, and natural language processing tools on cloud platforms such as AWS, Google Cloud, and Microsoft Azure. The courses emphasize how to build, optimize, and scale AI-driven applications and data pipelines using cloud resources to process and analyze vast amounts of data.
These cloud-based AI and data engineering training programs in Vienna also cover essential topics such as data ingestion, real-time data processing, data storage solutions, and the integration of AI with big data architectures. Participants learn how to design end-to-end data engineering solutions that handle everything from data collection and cleansing to advanced analytics and model deployment. Practical exercises and real-world case studies give attendees hands-on experience in creating cloud-based solutions that automate decision-making, optimize business processes, and unlock insights from large, complex datasets.
Attending these training courses in Vienna offers professionals the opportunity to collaborate with peers from diverse industries while learning from expert instructors in a global hub for technology and innovation. The city’s strong focus on digital transformation and AI makes it an ideal location for mastering cloud technologies and their applications in data engineering. By completing this specialization, participants will be equipped to design and implement scalable AI and data engineering solutions that enhance operational efficiency, improve data-driven strategies, and ensure business agility in a fast-paced digital world.