The Cloud-Based AI and Data Engineering course in Cairo provides professionals with the knowledge and skills to develop and deploy AI solutions and manage data systems in the cloud.
From:
13-04-2026
From:
13-07-2026
From:
14-09-2026
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 Cairo provide professionals with an advanced understanding of how cloud platforms support scalable data management and artificial intelligence solutions across modern organizations. These programs are designed for data engineers, AI specialists, IT professionals, and business technology leaders who seek to integrate cloud computing with data pipelines, machine learning workflows, and intelligent analytics for improved performance and strategic insight.
Participants gain a strong foundation in data engineering principles, including data ingestion, transformation, storage, and orchestration. The courses emphasize how cloud-based architectures enable organizations to process large datasets efficiently while maintaining system flexibility and reliability. Through hands-on labs and guided demonstrations, attendees learn to design data pipelines, configure distributed systems, and work with cloud-native tools that support real-time analytics and AI-driven decision-making.
These AI and data engineering training programs in Cairo also highlight the integration of machine learning and automation within cloud environments. Participants explore how to develop, deploy, and monitor AI models using cloud services that streamline training, scaling, and operational management. The curriculum covers model lifecycle management, data governance, performance optimization, and secure system integration—ensuring practical application across diverse business contexts such as finance, operations, marketing, and digital services.
Attending these training courses in Cairo offers professionals the opportunity to collaborate with industry experts and peers in a growing technological ecosystem. The city’s evolving role as a hub for digital transformation provides a dynamic environment for learning and innovation. By completing this specialization, participants will be equipped to build cloud-enabled data platforms, implement AI solutions at scale, and support strategic initiatives that enhance organizational agility and competitive advantage. Ultimately, the program empowers professionals to leverage cloud-based intelligence to drive efficiency, accelerate innovation, and deliver high-impact data-driven outcomes in a rapidly advancing global landscape.