The Cloud-Based AI and Data Engineering in Istanbul is a specialized training course designed to help professionals leverage cloud technologies for scalable AI and advanced data solutions.
From:
20-04-2026
From:
18-05-2026
From:
28-09-2026
From:
30-11-2026
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 Istanbul are designed to equip professionals with the knowledge, skills, and practical expertise needed to design, deploy, and manage cloud-based artificial intelligence and data engineering solutions. This specialization targets data engineers, AI specialists, IT architects, business analysts, and technology leaders who aim to leverage cloud platforms to optimize data pipelines, enhance analytics capabilities, and drive AI-powered business insights.
Across its programs, participants explore the principles of cloud-based AI and data engineering, focusing on how to integrate scalable cloud architectures with machine learning, big data processing, and advanced analytics. Key topics include cloud computing fundamentals, data pipeline design, data storage and management, AI model deployment, real-time analytics, and performance monitoring. Emphasis is placed on building efficient, secure, and scalable systems that enable data-driven decision-making and organizational innovation.
The courses blend theoretical knowledge with practical application, enabling participants to implement end-to-end cloud AI solutions effectively. Through interactive workshops, hands-on labs, and case studies, professionals develop skills in designing cloud data architectures, managing large-scale datasets, deploying machine learning models, ensuring data quality, and optimizing system performance. The specialization also highlights security, compliance, and best practices for governance in cloud-based AI and data engineering environments.
Attending these Cloud-Based AI and Data Engineering programs in Istanbul provides participants with a dynamic learning experience guided by expert facilitators and enriched through peer collaboration. Istanbul’s growing technology ecosystem offers a practical context for exploring real-world applications of cloud computing, AI, and advanced data engineering. By completing this specialization in Istanbul, professionals enhance their ability to architect scalable AI solutions, manage complex data workflows, and implement cloud-based strategies that drive innovation, operational efficiency, and sustainable competitive advantage in today’s digital economy.