The Cloud-Based AI and Data Engineering training course in Kuala Lumpur is designed for professionals looking to integrate AI technologies with cloud-based data engineering solutions.
From:
21-09-2026
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 Kuala Lumpur provide a comprehensive specialization designed for professionals seeking to build and manage intelligent, data-driven systems in modern cloud environments. These programs are tailored for data engineers, IT professionals, solution architects, and technology leaders who aim to leverage cloud platforms to support scalable artificial intelligence and advanced analytics initiatives across organizations.
Participants develop a strong foundation in cloud-based AI and data engineering, exploring how data pipelines, cloud infrastructure, and machine learning workflows work together to enable real-time insight and automation. The courses cover essential topics such as data ingestion, storage architectures, distributed processing, model deployment, and performance optimization within cloud ecosystems. Emphasis is placed on practical skills that allow participants to design reliable, secure, and scalable data solutions that support AI-driven decision-making.
These AI and data engineering training programs in Kuala Lumpur balance technical theory with hands-on application through case studies, architecture design exercises, and applied scenarios. Participants learn to integrate cloud services with analytics platforms, manage data quality and governance, and optimize resources for cost and performance efficiency. The curriculum also addresses operational considerations such as monitoring, security controls, and lifecycle management to ensure sustainable and resilient data systems.
Attending the Cloud-Based AI and Data Engineering courses in Kuala Lumpur offers an immersive learning experience led by industry experts with real-world implementation experience. Kuala Lumpur’s growing digital and technology ecosystem enhances the exchange of global perspectives and best practices. By completing this specialization, participants emerge equipped to architect and manage intelligent cloud-based data solutions—enabling innovation, scalability, and strategic advantage in today’s rapidly evolving digital economy.