The Cloud-Based AI and Data Engineering course in Amsterdam is a specialized training course that equips professionals to implement AI solutions and manage data workflows in cloud platforms.
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 Amsterdam provide professionals with the technical expertise and strategic insight to design, implement, and manage intelligent data systems in cloud environments. Tailored for data engineers, AI specialists, IT architects, and business leaders, these programs explore how artificial intelligence and cloud computing converge to drive innovation, scalability, and data-driven decision-making.
Participants gain a comprehensive understanding of cloud-based AI architectures, machine learning pipelines, and modern data engineering frameworks. The courses cover essential topics such as data ingestion, transformation, and orchestration; model training and deployment in the cloud; and the integration of AI tools with big data platforms. Through practical labs and case studies, attendees learn to build end-to-end data solutions using major cloud ecosystems, ensuring efficiency, accuracy, and compliance in enterprise-level AI operations.
These AI and data engineering training programs in Amsterdam emphasize both the technical and strategic dimensions of digital transformation. Participants explore automation, data governance, and MLOps (Machine Learning Operations) to ensure reliable AI deployment at scale. The curriculum also addresses best practices for cloud cost optimization, data security, and continuous improvement in analytical infrastructure—equipping professionals to align data engineering initiatives with business goals and innovation strategies.
Attending these training courses in Amsterdam offers participants an exceptional opportunity to engage with experts in AI, data science, and cloud architecture. The city’s dynamic technology ecosystem and global connectivity create an inspiring environment for learning and professional growth. By completing this specialization, participants will be prepared to lead cloud-based AI initiatives, streamline data workflows, and deliver intelligent solutions that enhance performance, agility, and competitive advantage in the digital economy.