The Cloud-Based AI and Data Engineering in Zurich is a professional training course designed to help organizations leverage cloud technologies for AI and data engineering solutions.
From:
23-03-2026
From:
06-07-2026
From:
17-08-2026
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 Zurich provide professionals with an advanced and practical understanding of how cloud technologies, artificial intelligence, and data engineering work together to support scalable, high-performance digital ecosystems. Designed for data engineers, cloud architects, AI specialists, and technology leaders, these programs focus on building robust infrastructures that enable efficient data processing, intelligent automation, and seamless integration across enterprise platforms.
Participants explore the core concepts of cloud-based AI deployment, including distributed computing environments, data pipelines, machine learning workflows, and real-time analytics solutions. The courses highlight practical methods for designing cloud-native architectures, orchestrating data flows, and optimizing storage and compute resources. Through hands-on exercises and case studies, attendees learn to build end-to-end data engineering frameworks that support AI applications such as predictive modeling, natural language processing, and intelligent automation.
These cloud AI and data engineering programs in Zurich emphasize both technical proficiency and strategic alignment. Participants gain experience with leading cloud platforms, develop skills in containerization, automation, and API integration, and learn best practices for maintaining scalability, security, and cost efficiency. The curriculum also covers essential governance considerations, including responsible AI deployment, data integrity, compliance, and maintaining transparency across cloud-based systems.
Attending these training courses in Zurich offers professionals the opportunity to learn from global experts in cloud innovation, AI development, and enterprise data strategy. Zurich’s dynamic technology landscape and strong international business presence create an ideal environment for exploring the next generation of AI-driven architectures. By completing this specialization, participants will be equipped to design sophisticated cloud-based data solutions, support scalable AI initiatives, and drive technological transformation that enhances agility, performance, and long-term organizational value.