The Cloud-Based AI and Data Engineering in Brussels is a practical training course designed to equip professionals with skills in cloud AI, big data, and advanced engineering solutions.
From:
19-01-2026
From:
13-04-2026
From:
06-07-2026
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 Brussels provide professionals with advanced knowledge and practical skills to design, deploy, and manage AI-driven solutions on cloud platforms while building robust data engineering pipelines. Designed for data engineers, AI specialists, cloud architects, and business analysts, these programs focus on integrating artificial intelligence with scalable cloud infrastructure to enable efficient data processing, analytics, and strategic decision-making.
Participants gain a comprehensive understanding of cloud-based AI and data engineering, including data ingestion, storage, transformation, machine learning model deployment, and distributed computing. The courses emphasize practical strategies for managing large datasets, designing cloud-native AI applications, and implementing end-to-end data pipelines that support real-time analytics and predictive insights. Through hands-on exercises, case studies, and simulations, attendees learn to optimize cloud resources, ensure data reliability, and deliver actionable AI-driven outcomes.
These AI and data engineering training programs in Brussels combine technical expertise with strategic perspectives, ensuring participants can align cloud and AI initiatives with organizational objectives, governance frameworks, and regulatory compliance requirements. Key topics include cloud service models (IaaS, PaaS, SaaS), big data architecture, data pipeline automation, model monitoring, and data security. Participants also explore methods for integrating AI workflows with enterprise data systems, enabling scalable, reliable, and efficient AI solutions.
Attending these training courses in Brussels offers professionals the opportunity to learn from international experts and collaborate with peers across diverse sectors, gaining insights into global best practices and emerging trends in cloud-based AI and data engineering. The city’s role as a European hub for technology, innovation, and business provides an ideal environment for exploring practical applications and cutting-edge solutions. By completing this specialization, participants will be equipped to implement cloud-based AI frameworks, engineer efficient data pipelines, and drive intelligent, data-informed business outcomes—ensuring scalable, secure, and high-performance operations in today’s rapidly evolving digital landscape.