MAG533

Complete Mage Data Engineering & ETL Pipeline Development Course

Q: What is Mage and why should I learn it?

Mage is a comprehensive data engineering tool designed for building robust ETL (Extract, Transform, Load) workflows. Learning Mage will enable you to create efficient data pipelines, integrate with various data sources and destinations, and deploy scalable data solutions across major cloud platforms. It's particularly valuable for data professionals looking to streamline their data engineering processes and implement modern CI/CD practices.

Q: What are the prerequisites for this Mage course?

This is a beginner-level course requiring an undergraduate qualification. While no prior Mage experience is needed, basic familiarity with data concepts, databases, and cloud platforms would be beneficial. Some understanding of programming concepts and data engineering principles will help you get the most out of the course content.

Q: What hands-on experience will I gain during the 2-day course?

You'll gain practical experience through labs and case studies including: installing and setting up Mage environments, creating and managing ETL pipelines, loading and visualizing data, transforming and exporting data to systems like PostgreSQL, integrating DBT projects, implementing CI/CD workflows with GitHub Actions or GitLab, and deploying infrastructure using Terraform across AWS, GCP, Azure, and Digital Ocean.

Q: How does this course cover DBT integration with Mage?

The course includes comprehensive coverage of DBT (Data Build Tool) integration within Mage's ecosystem. You'll learn how to add DBT projects to Mage, run and test DBT models, manage connection profiles, set up DBT models, and orchestrate DBT runs. This integration allows you to leverage both tools for enhanced data model management and pipeline orchestration.

Q: What cloud deployment strategies will I learn?

You'll learn deployment strategies using Terraform across all major cloud providers including AWS (Amazon Web Services), GCP (Google Cloud Platform), Microsoft Azure, and Digital Ocean. The course covers infrastructure as code practices, configuration management, secret management, and database connections to ensure secure and scalable deployments.

Q: Who is the target audience for this Mage course?

This course is designed for engineers, mid-level managers, and senior managers who work with data engineering workflows. It's ideal for data engineers, data scientists, DevOps professionals, and technical managers who want to implement modern data pipeline solutions and improve their organization's data engineering capabilities.

Q: What CI/CD practices will I learn in relation to Mage?

The course covers comprehensive CI/CD (Continuous Integration/Continuous Deployment) methodologies specifically for Mage projects. You'll learn to implement automated workflows using GitHub Actions and GitLab CI/CD, manage version control with Git on cloud platforms, use runtime variables for development practices, and establish robust deployment pipelines that integrate with your data engineering workflows.

Q: Where is the training conducted?

Our online trainings are conducted usually using Zoom or Google Meet. Our physical trainings are normally held in Common Ground, Bangsar South .

Q: Can international participants join this course?

Please check the Available in section to see which countries the course is available in. If your country is not listed, please contact us.

Q: What is the difference between public, corporate, and training provider pricing?

Public pricing : applies for individuals signing up from different companies. Corporate pricing : applies if a company wants to have an intake for its employees only. Training provider pricing : applies only for other training providers looking to hire our trainers and use our content. Our content has a licensing fee.

Master the intricacies of Mage for exceptional data engineering solutions. Engage with our digital marketing-style program to harness the power of data transformation, integration, deployment strategies across major cloud platforms, and CI/CD practices to elevate your career in data science.

Available in:
Malaysia

Face-to-Face Jan 26-27, 2026 9:00 AM - 5:00 PM Mohammed Al-Obaydee

Created: January 26th 2023, 5:29 PM MYT Last Modified: January 21st 2026, 6:00 AM MYT

updated

beginner

We price match

Public Pricing

MYR 3500

Corporate Pricing

Pax:

Training Fees: MYR 6500/day

Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day

Material Fees: MYR 400

Total Fees: MYR 5200 ++

Features

2 days

16 modules

20 intakes

Full life-time access

English

Technical: 25 pax

Target Audience

engineers

managers

executives

Methodologies

lecture

slides

labs

case studies

Subsidies

What you'll learn

Understand the foundational concepts of Mage including its history and features
Create, load, visualize, transform, and export data using Mage's ETL tools
Deploy infrastructure using Terraform on various cloud providers
Learn core design principles specific to Mage's architecture
Build robust data integration pipelines with new or existing sources and destinations
Integrate DBT projects within Mage for enhanced model management
Implement CI/CD workflows using GitHub Actions or GitLab CI/CD
Install Mage and prepare a collaborative cloud-based development environment
Develop skills in runtime variable usage and version control with Git

TTT Certificate

TTT Accreditation

Tarun Sukhani is a distinguished business and IT professional with over 25 years of industry experience spanning multinational corporations across the US, Europe, Asia, South America, and the Middle East. His extensive career includes senior executive positions such as CIO/CTO, director, and board member at prominent organizations including Dell, AMD, and Experian, as well as regional conglomerates like Indra in Asia Pacific. Throughout his career, he has demonstrated exceptional expertise in web-scale software development and large-scale IT operations management across diverse industries. As a professional trainer and consultant, Tarun brings a comprehensive portfolio of technical and strategic expertise to his teaching practice. His areas of specialization encompass Agile methodologies (Scrum, SAFe, Kanban, Lean), enterprise architecture frameworks (TOGAF, COBIT, ITIL), cybersecurity (CISSP, CEH, CISO), and cutting-edge technologies including Big Data, Machine Learning, AI, Blockchain, and IoT. He has successfully conducted training workshops and facilitated sessions across Malaysia, Indonesia, Philippines, Thailand, Singapore, and throughout the Asia Pacific region, working with both large enterprises and SMEs. Tarun's teaching approach is characterized by high energy and a genuine passion for developing people at all organizational levels. His real-world experience working across various business functions—including HR, Finance, Operations, Sales, Risk Management, and Engineering—enables him to deliver practical, business-focused training that resonates with diverse audiences. He has served as a keynote speaker at prestigious conferences including Cloud South East Asia, Malaysian Institute of Management, and MDCA Data Center Conference, establishing himself as a thought leader in digital transformation, Industry 4.0, and emerging technologies. Academically, Tarun holds impressive credentials including an MSc in Information Systems and an MBA in Finance and Operations Management from Loyola University Chicago, where he graduated summa cum laude with Beta Gamma Sigma and Alpha Sigma Nu honors. He also possesses Bachelor's degrees in Biology, Math and Computer Science, and Business Administration. His professional certifications span Agile/Scrum training, Java and .NET development, Machine Learning/Deep Learning, InfoSec (CISO), and Business Intelligence, complemented by advanced programs in AI, Blockchain, and Entrepreneurship from MIT and Stanford. This unique combination of academic excellence, extensive industry experience, and diverse technical certifications positions Tarun as an exceptional trainer capable of delivering transformative learning experiences across the full spectrum of modern technology and business domains.

21 Students

50 Courses

English, Malay, Spanish

25 Years

( 13 ratings )

100%

( 13 reviews )

Instructor

Mohammed Al-Obaydee AI & Data Science Expert

Trainer Profile

TTT Certificate

Dr. Mohammed Al-Obaydee is a distinguished academic and industry professional with extensive expertise in artificial intelligence, machine learning, deep learning, and data science. As an Adjunct Associate Professor at Taylor's University Malaysia and a certified Train the Trainer professional, he brings a unique blend of academic rigor and practical industry experience to his teaching and consulting engagements. With a Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) and over two decades of experience spanning academia and industry, Dr. Al-Obaydee has established himself as a leading authority in advanced computing technologies. His research excellence is evidenced by multiple best paper awards, including recognition at IEEE ACSAT2014 and ITNG 2023 conferences, along with an impressive publication record featuring over 149 citations and an h-index of 6. His research focuses on medical image analysis, computer vision, machine learning applications, and deep learning techniques. As a founder of INNOEYETIVE and AIC4ALL, Dr. Al-Obaydee demonstrates entrepreneurial acumen in leveraging AI and immersive technologies for digital transformation. His industry experience includes successful training and consultation projects with major corporations such as HSBC Bank, OCBC Bank, DELL Malaysia, Amway Malaysia, and EtiQa, where he has delivered specialized programs in data science, analytics, and applied AI engineering. His ability to bridge the gap between theoretical concepts and practical applications makes him an exceptional trainer for professionals seeking to upskill in emerging technologies. Dr. Al-Obaydee's teaching portfolio encompasses a comprehensive range of subjects including Machine Learning, Deep Learning, Data Analytics, Data Engineering, Parallel Computing, and Advanced Data Structures. He has supervised numerous master's students and research projects at both Taylor's University and the International Islamic University Malaysia (IIUM), focusing on cutting-edge topics such as deep reinforcement learning, medical image classification, fraud detection, and natural language processing. His international speaking engagements and extensive training experience across multiple organizations demonstrate his exceptional communication skills and ability to make complex technical concepts accessible to diverse audiences.

114 Courses

English

21 Years

( 0 ratings )

( 0 reviews )

Instructor

Uzair Aslam Senior Data Scientist & ML Expert

Trainer Profile

TTT Certificate

TTT Accreditation

Uzair Aslam is an accomplished Data Scientist with extensive expertise in machine learning, artificial intelligence, and advanced analytics. With a proven track record of delivering transformative data-driven solutions across the financial services and telecommunications sectors, he brings a unique combination of technical excellence and business acumen to every project. Currently serving as AVP - Senior Data Scientist at Maybank, Uzair has spearheaded the development of cutting-edge fraud detection models that have revolutionized risk management processes. His innovative machine learning solution reduced false positive review time by 75%, saving approximately 2,940 man hours and significantly improving operational efficiency. He has successfully engineered sophisticated fraud detection systems combining Computer Vision and Natural Language Processing, utilizing OCR technology for document analysis and anomaly detection. His leadership extends to managing cross-functional teams and developing automated business intelligence solutions, including news web-scraping applications for risk event monitoring across the Asia Pacific region. Uzair's professional journey includes valuable experience as a Specialist Data Scientist at The CADS, where he provided strategic advisory services to major international clients including Petronas, Shell, and CIMB. His consulting expertise focuses on translating complex business requirements into actionable data science use cases. He has also demonstrated exceptional training capabilities, delivering corporate training programs on Machine Learning, Deep Learning, and Natural Language Processing to diverse professional audiences. With a Master's degree in Data Science & Business Analytics from Asia Pacific University (achieved with Distinction) and a Bachelor's in Electronics Engineering, Uzair possesses a solid academic foundation complemented by numerous industry certifications. His technical proficiency spans Python, R, SQL, Spark, SAS, and HiveQL, along with expertise in modern data science platforms including Tableau, Power BI, DataRobot, H2O.ai, and Dataiku. His project portfolio demonstrates versatility across fraud detection, credit scoring, opinion spam detection, electricity load forecasting, and neural network applications, showcasing his ability to apply advanced statistical and machine learning concepts to solve real-world business challenges.

59 Courses

English

10 Years

( 0 ratings )

( 0 reviews )

Instructor

Koong Wah Yan Wayne AI Transformation Specialist

Trainer Profile

TTT Accreditation

Ts. Koong Wah Yan (Wayne) is a distinguished Technology Executive and AI Transformation Specialist with over 25 years of pioneering experience in digital innovation across FinTech, AdTech, and Public Sectors. As a certified AI Governance Professional and seasoned technology leader, Wayne combines deep technical expertise in artificial intelligence, data science, and enterprise architecture with proven leadership capabilities in delivering mission-critical systems and establishing robust AI governance frameworks. Wayne's extensive industrial profile includes executive roles as Head of R&D at Innity Bhd, CIO and Software Development Manager at Wiseyes Group, Head of IT Operations at SOCSO, Data Migration Lead at MIMOS, and CRM Architect for prestigious organizations including IBM, MBB, and CIMB. His academic credentials include an MBA from University of South Australia, a Bachelor of Information Technology from Universiti Kebangsaan Malaysia, and specialized certifications in AI Governance (IAPP), Data Science (HarvardX), ISO27001 Lead Implementation, and ITIL Foundation. As a professional trainer, Wayne has delivered transformative learning experiences to over 500 professionals across diverse organizations. His training portfolio spans Machine Learning in Python workshops for engineers, Generative AI application sessions, Object-Oriented Programming training for Fortune 500 companies, and Business Intelligence tools training. Wayne's unique methodology combines Interactive Learning, Practical Application, and Business Context, creating immersive experiences with real-world case studies and hands-on exercises that consistently achieve 90%+ participant satisfaction rates. Wayne specializes in Digital Transformation with AI, GenAI, ML & Data Science training programs tailored for technical teams, management, and general audiences. His expertise extends to tools-specific training including PowerPoint with AI, Metabase, Google Looker Studio, and SQL for MySQL. Wayne's rare ability to bridge advanced technical concepts with strategic business implementation makes him an invaluable trainer for organizations seeking to accelerate their AI transformation journey while establishing responsible AI governance frameworks.

54 Courses

English, Chinese, Malay

29 Years

( 0 ratings )

( 0 reviews )

Instructor Reviews

Tarun Sukhani

Enterprise Technology & Agile Transformation Expert

"I attended one of Tarun's Data Science course in Jakarta (CDSS). He was a professional trainer & very knowledgeable in Data Science. In his course, Tarun gave many practical examples & valuable information regarding how to conduct Data Science & it's related components (e.g. Software & Deployment Architecture). In addition to those lessons, he also gave very useful insights on building a career as a Data Scientist."

"He shared his professional insights on data science with a sense of humor that cleared up so many of my questions about the content and real-world applications. Information, tools, and resources given are very useful"

"Tarun is very passionate on the domains and gave numerous insights to support critical business decisions and develop data products to transform daily encounters and processes. He was a professional trainer & very knowledgeable in Data Science. His material is presented through a sequence of brief lectures, interactive demonstrations, great hands-on exercises, and discussions."

"Tarun is the best Data Science lecturer you can find. He is experienced, knowledgeable and humorous, someone who is willing to share generously his working experience and knowledge in the field with the students. "

"Training with Tarun has been awesome. He’s super knowledgable, funny, empathetic and a great educator in general. As someone who didn’t come from a computer science background, his teachings didn’t make me feel stupid or impossible to eventually arrive at being a competent developer. I could understand him as he communicates well & has helped me see the big picture of the computer science field beyond the scope of syntaxes. If you similarly did not come from a CS background and hope to transition into the world of programming but struggle to learn on your own, understand all the foreign & abstract concepts and connect the dots, I think the right person to guide you on your journey would make a big difference. Having someone who’s deep in the field with many years of experience narrow and communicate the relevant areas to focus would also close a big gap from having to struggle and figure out a lot of things on your own. Being able to maintain your interest during your learning journey is important too, thus finding that someone is important. All in all, I would wholeheartedly recommend Tarun and the backend course I took."

"Tarun is a results-driven & inspirational technology leader with a clear vision, direction, and broad-based technology expertise. He is passionate, intuitive, engaged, pragmatic, systematic, agile. His experiences span from small start-ups to complex, global companies, from being technical lead to technical strategist to being the leader of larger group of architecture and engineering teams. Much of his experiences are in the area of Java, Scala, Machine Learning, Neural Networks, Cloud Computing, Data Science and what not. I am truly amazed to experience his breadth & depth of technological expertise and pleasure to be part of his team."

"He was indeed very skilled, knowledgeable and passionate in the data science realm. I was impressed with his business know-how (how the world economy works and how all things can be explain with data, with/without bias) and technical skills in converting data into insights. I will not hesitate to recommend Tarun for any data science related training as I would like to attend more classes myself to learn from the best of the best."

"We’ve been collaborated many times in doing courses for the accountants. He spoke to quiet number of event in our company with various topic regards to accountants need. The collaboration was very smooth and his session definitely made a huge impact on our success. Mr Tarun is a great Professional!"

"Mr. Tarun is a driven, hardworking, and knowledgeable entrepreneur in his field." A broad-minded trainer who embraces change and inspires people to do better every day. Mr. Tarun sets a good example by being enthusiastic and dedicated, and he inspires and motivates others. I am delighted to be working for such personnel"

"Attended "Blockchain Training: An Overview for Business Professionals" conducted by Dr. Tarun. The reference materials are very comprehensive and an excellent means of conveying information. I was very impressed with how this technology works and adapted into business"

FAQ

Frequently Asked Questions About This Course

What is Mage and why should I learn it?

What are the prerequisites for this Mage course?

What hands-on experience will I gain during the 2-day course?

How does this course cover DBT integration with Mage?

What cloud deployment strategies will I learn?

Who is the target audience for this Mage course?

What CI/CD practices will I learn in relation to Mage?

Where is the training conducted?

Can international participants join this course?

What is the difference between public, corporate, and training provider pricing?

Do I have to pay right away?

I just enrolled in an intake. Does that mean I can attend the course on that date?

What happens if quorum for an intake is not reached?

Why should you attend?

What you'll learn

Understand the foundational concepts of Mage including its history and features
Create, load, visualize, transform, and export data using Mage's ETL tools
Deploy infrastructure using Terraform on various cloud providers
Learn core design principles specific to Mage's architecture
Build robust data integration pipelines with new or existing sources and destinations
Integrate DBT projects within Mage for enhanced model management
Implement CI/CD workflows using GitHub Actions or GitLab CI/CD
Install Mage and prepare a collaborative cloud-based development environment
Develop skills in runtime variable usage and version control with Git

End of Day 2