The Cloud-Based AI and Data Engineering in Amman is a specialized training course designed to help professionals build scalable AI and data solutions on cloud platforms.
From:
29-06-2026
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 Amman provide professionals with advanced knowledge and practical skills to design, implement, and manage AI-driven data solutions using cloud technologies. Designed for data engineers, AI specialists, IT managers, and analytics professionals, these programs focus on integrating artificial intelligence with cloud infrastructure to enable scalable, efficient, and high-performance data processing and analytics.
Participants gain a comprehensive understanding of cloud-based AI and data engineering, exploring key topics such as cloud architecture for AI workloads, data pipeline design, machine learning model deployment, big data processing frameworks, and real-time analytics. The courses emphasize how to leverage cloud platforms to handle large-scale datasets, optimize computational resources, and accelerate AI and data-driven decision-making. Through hands-on exercises, simulations, and case studies, attendees learn to build robust, secure, and scalable AI data pipelines and deploy intelligent solutions that enhance business and operational outcomes.
These cloud AI and data engineering training programs in Amman combine technical expertise with strategic applications. Participants explore platforms and tools including AWS, Microsoft Azure, Google Cloud, Spark, Hadoop, and Python-based AI frameworks, while addressing data governance, security, and compliance considerations. The curriculum also covers emerging topics such as AI model monitoring, automation in data workflows, and hybrid cloud deployments, equipping professionals to implement future-ready solutions.
Attending these training courses in Amman provides professionals with access to global experts and a collaborative, interactive learning environment in a city recognized for its growing technology, AI, and cloud ecosystem. By completing this specialization, participants will be equipped to implement cloud-based AI and data engineering solutions effectively—optimizing data workflows, enhancing predictive and analytical capabilities, supporting scalable AI deployments, and driving innovation in today’s rapidly evolving digital and cloud-enabled business landscape.