Data Pipeline Engineering: Airflow, Kubernetes & Spark Course

Master the art of data pipeline engineering with our cutting-edge training program focused on Apache Airflow, Kubernetes, and Spark. Guided by industry experts, this comprehensive course equips you with essential skills to design scalable pipelines for modern data ecosystems. Enroll now to transform your career in data engineering.

Face-to-Face Nov 23-26, 2026 9:00 AM - 5:00 PM Tasmeea Rahman
updated
intermediate
Data Pipeline Engineering: Airflow, Kubernetes & Spark
We price match

Public Pricing

MYR 12000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 26000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2800/day
Material Fees: MYR 600
Total Fees: MYR 11800 ++

Features

4 days
32 modules
Full life-time access
English
Technical: 25 pax

Target Audience

students
engineers

Methodologies

lecture
slides
labs
q&A

Classification

Focus Area Course
  • Addresses skill gaps across industries
  • Emphasizes emerging technologies and practices
  • Enhances workforce capabilities
  • Verified by industry experts
  • Broadly applicable across sectors

Subsidies

HRDC Claimable logo

What you'll learn

  • Integrate Spark with Airflow for enhanced data processing capabilities
  • Deploy applications on Kubernetes for efficient resource management
  • Optimize pipeline performance for cost efficiency
  • Implement error handling and monitoring strategies in data pipelines
  • Design large-scale pipeline architectures using best practices
  • Understand the architecture and components of Apache Airflow
  • Create and manage DAGs with complex task dependencies

Why should you attend?

This course provides an in-depth exploration of data pipeline engineering, focusing on the integration and orchestration of Apache Airflow, Kubernetes, and Spark. Participants will begin by understanding the fundamentals of workflow orchestration and the architecture of Apache Airflow. Through hands-on exercises, learners will set up their first Airflow environment and create Directed Acyclic Graphs (DAGs) with multiple tasks. As the course progresses, students will delve into advanced topics such as scheduling with cron expressions, managing dependencies, and implementing error handling and monitoring strategies. The curriculum also covers best practices for DAG design patterns, testing, and optimizing hardware configurations to maintain peak performance. The course transitions into container orchestration with Kubernetes, where participants learn about its architecture, resource management, and security features like Role-Based Access Control (RBAC). Learners will deploy applications on Kubernetes, configure persistent storage solutions, and explore dynamic pod generation using the KubernetesPodOperator. Incorporating Spark into the pipeline is another key component of this course. Students will gain insights into Spark's architecture and data processing capabilities through practical exercises that involve writing basic Spark jobs and integrating them with Airflow via the SparkSubmitOperator. The course concludes with a comprehensive project where participants build a production-ready data pipeline utilizing all learned tools and techniques. By the end of this course, participants will have acquired robust skills in designing scalable data pipelines that efficiently integrate Airflow, Kubernetes, and Spark technologies.

Course Syllabus

Day 1 - Airflow Fundamentals & Setup
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - Kubernetes & Airflow Integration
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2
Day 3 - Advanced Kubernetes & Spark
Module 17
Module 18
Short Break
15 mins
Module 19
Module 20
Recap and Q&A
15 mins
Lunch
1 hour
Module 21
Module 22
Short Break
15 mins
Module 23
Module 24
Recap and Q&A
15 mins
End of Day 3
Day 4 - Production Pipeline Architecture
Module 25
Module 26
Short Break
15 mins
Module 27
Module 28
Recap and Q&A
15 mins
Lunch
1 hour
Module 29
Module 30
Short Break
15 mins
Module 31
Module 32
Recap and Q&A
15 mins
End of Day 4

Instructor

Loading...
Tasmeea Rahman Data Analytics & Engineering Training Specialist
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
TTT Accreditation
TTT Accreditation
Tasmeea Rahman is a highly accomplished corporate trainer and academic professional with a unique blend of technical expertise and pedagogical excellence. Currently pursuing her PhD in Project Management with a focus on Energy Management in the electrical power industry at Universiti Putra Malaysia, she maintains an exceptional 4.00/4.00 CGPA while actively contributing to the professional training landscape. With extensive experience as a Freelance Corporate Trainer since 2023, Tasmeea specializes in delivering comprehensive training programs across multiple domains. Her training portfolio encompasses advanced data analytics tools including Python, Power BI, Minitab, Jaspersoft, Apache Superset, and TIBCO Spotfire, as well as machine learning applications. She also excels in teaching engineering design software such as AutoCAD, Autodesk Fusion 360, Solid Edge, and Autodesk 3Ds Max for both 2D and 3D electrical and mechanical designs. Her project management training capabilities further complement her diverse skill set. Her academic credentials are impressive, holding a Master of Engineering Management from Universiti Putra Malaysia (CGPA: 3.713/4.00), an MBA in Marketing from the University of Dhaka (CGPA: 3.61/4.00), and a Bachelor's degree in Electrical and Electronics Engineering. This multidisciplinary educational background enables her to bridge technical concepts with business applications effectively. As an Adjunct Lecturer at Leading University, she demonstrated her ability to develop curricula and deliver engaging lectures on complex electrical and electronics subjects, including VLSI design, digital signal processing, and microprocessor systems. Tasmeea's research contributions are noteworthy, with publications in high-impact journals including a first-author paper in Renewable and Sustainable Energy Reviews (Q1, Impact Factor: 15.9) and co-authored works in IEEE Access. She holds a Train the Trainer Certification from HRD Corp Malaysia and is certified in Agile Project Management by Google. Her technical proficiency spans programming languages like Python and C++, engineering software including MATLAB and CISCO Packet Tracer, and various data analytics platforms. With her combination of industry experience, academic rigor, and certified training expertise, Tasmeea delivers practical, industry-relevant training that empowers professionals to excel in their respective fields.
8 Students
93 Courses
8 Years

Instructor

Loading...
Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
Mohammad Mehdi Lotfinejad is a distinguished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science training. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, he leads the development of sophisticated graph databases, data warehouses, and API solutions that power AI-driven legal case analysis systems. His expertise spans the entire data ecosystem, from architecture design to workflow automation and team leadership. With a robust background encompassing more than a decade of hands-on experience in data engineering and data science, Mohammad has successfully implemented enterprise-scale data processing pipelines across multiple industries and geographies. His professional journey includes senior roles at Axiata Digital Advertising (ADA) in Malaysia, where he designed and deployed data pipelines using AWS Redshift, Snowflake, Apache Spark, and Apache Airflow, and at The Center of Applied Data Science, where he led teams delivering training solutions to major corporations including CIMB, PETRONAS, SHELL, and TNB. Mohammad's technical proficiency is comprehensive and current, encompassing cloud platforms (AWS, Google Cloud), data warehousing solutions (Redshift, Snowflake), big data technologies (Apache Spark, Hadoop, Hive), workflow orchestration (Apache Airflow), and multiple database systems (MySQL, PostgreSQL, MongoDB). He holds a Harvard Business School certification in Business Analytics and multiple AWS certifications, including specialized credentials in Big Data, Data Warehousing, and Practical Data Science with Amazon SageMaker. As an educator, Mohammad brings exceptional depth to his training delivery. His academic career includes faculty positions at Payame Noor University and Islamic Azad University, where he served in leadership roles including Chancellor and Department Head. He has authored three technical books and published numerous peer-reviewed papers in international journals. His teaching repertoire covers data engineering, data science, machine learning, software development, and computer architecture, delivered through engaging, hands-on methodologies that bridge theoretical concepts with practical industry applications. Mohammad's unique combination of executive leadership, technical expertise, and proven training capabilities makes him an invaluable resource for organizations seeking to develop their data science and engineering capabilities. His ability to translate complex technical concepts into actionable learning outcomes, coupled with his extensive real-world implementation experience, ensures that training participants gain immediately applicable skills that drive business value.
8 Students
108 Courses
18 Years

Instructor

Loading...
Dr. Esther Suria Kala ICT & Cybersecurity Training Expert
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate

Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.

Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.

Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.

As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.

Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.

226 Courses
English, Malay, Hindi, German, Tamil
30 Years

Instructor

Loading...
Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist
Trainer Profile
Trainer Profile
Habil Hadi Mohammed is a highly skilled Mechanical Engineer and Research Fellow specializing in advanced manufacturing technologies, with particular expertise in additive manufacturing, 3D printing, and functionally graded materials (FGM). Currently pursuing his PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM), he combines strong academic credentials with practical engineering experience to deliver innovative solutions across multiple industries. With a Master's degree in Manufacturing Systems Engineering (CGPA 3.81/4) and a Bachelor's in Mechanical Engineering, Habil has established himself as an expert in the rapidly evolving field of additive manufacturing. His research focuses on cutting-edge topics including multi-material 3D printing, material extrusion processes, and surface finishing techniques for FDM printed parts. His work has been recognized at international conferences in Slovenia, Malaysia, and Hong Kong, where he has presented papers on FGM implementation and material flow control in additive manufacturing. As a Research Fellow at UPM since 2021, Habil has demonstrated exceptional capabilities in software development, automation, and prototype design. He has successfully developed software for multi-material FGM 3D printers, designed automated sports equipment, and created hydroponic plant systems. His current role as a Developer Engineer for an international Swiss company showcases his ability to bridge theoretical knowledge with practical application, where he designs, programs, and develops machines using both 3D printing and conventional manufacturing techniques. Habil's technical proficiency spans multiple programming languages including Python, C/C++, Arduino, XCode, and Swift, complemented by expertise in CAD software such as AutoCAD, Fusion360, ANSYS, and SolidWorks. His analytical skills are enhanced by proficiency in data analysis tools including Minitab, SPSS, and Python. Beyond technical skills, his management experience as an Area Manager demonstrates strong leadership abilities, having successfully doubled sales through strategic planning and employee training. Multilingual and culturally adaptable, Habil brings a unique global perspective to engineering challenges, making him an invaluable asset for organizations seeking innovation in manufacturing technology and engineering education.
120 Courses
English
9 Years

Instructor

Loading...
Mohammed Al-obaydee AI & Data Science Expert
Trainer Profile
Trainer Profile
TTT Certificate
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.
113 Courses
English
21 Years

Instructor Reviews

TR

Tasmeea Rahman

Data Analytics & Engineering Training Specialist

"Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative."

"Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges."

"The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion."

ML

Mohammad Mehdi Lotfinejad

Chief Data Officer & Data Science Trainer

"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."

"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."

"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."

FAQ

Frequently Asked Questions About This Course

Why should you attend?

This course provides an in-depth exploration of data pipeline engineering, focusing on the integration and orchestration of Apache Airflow, Kubernetes, and Spark. Participants will begin by understanding the fundamentals of workflow orchestration and the architecture of Apache Airflow. Through hands-on exercises, learners will set up their first Airflow environment and create Directed Acyclic Graphs (DAGs) with multiple tasks. As the course progresses, students will delve into advanced topics such as scheduling with cron expressions, managing dependencies, and implementing error handling and monitoring strategies. The curriculum also covers best practices for DAG design patterns, testing, and optimizing hardware configurations to maintain peak performance. The course transitions into container orchestration with Kubernetes, where participants learn about its architecture, resource management, and security features like Role-Based Access Control (RBAC). Learners will deploy applications on Kubernetes, configure persistent storage solutions, and explore dynamic pod generation using the KubernetesPodOperator. Incorporating Spark into the pipeline is another key component of this course. Students will gain insights into Spark's architecture and data processing capabilities through practical exercises that involve writing basic Spark jobs and integrating them with Airflow via the SparkSubmitOperator. The course concludes with a comprehensive project where participants build a production-ready data pipeline utilizing all learned tools and techniques. By the end of this course, participants will have acquired robust skills in designing scalable data pipelines that efficiently integrate Airflow, Kubernetes, and Spark technologies.


What you'll learn

  • Integrate Spark with Airflow for enhanced data processing capabilities
  • Deploy applications on Kubernetes for efficient resource management
  • Optimize pipeline performance for cost efficiency
  • Implement error handling and monitoring strategies in data pipelines
  • Design large-scale pipeline architectures using best practices
  • Understand the architecture and components of Apache Airflow
  • Create and manage DAGs with complex task dependencies

Course Syllabus

Day 1 - Airflow Fundamentals & Setup
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - Kubernetes & Airflow Integration
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2
Day 3 - Advanced Kubernetes & Spark
Module 17
Module 18
Short Break
15 mins
Module 19
Module 20
Recap and Q&A
15 mins
Lunch
1 hour
Module 21
Module 22
Short Break
15 mins
Module 23
Module 24
Recap and Q&A
15 mins
End of Day 3
Day 4 - Production Pipeline Architecture
Module 25
Module 26
Short Break
15 mins
Module 27
Module 28
Recap and Q&A
15 mins
Lunch
1 hour
Module 29
Module 30
Short Break
15 mins
Module 31
Module 32
Recap and Q&A
15 mins
End of Day 4

Instructor Reviews

TR

Tasmeea Rahman

Data Analytics & Engineering Training Specialist

"Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative."

"Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges."

"The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion."

ML

Mohammad Mehdi Lotfinejad

Chief Data Officer & Data Science Trainer

"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."

"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."

"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."

We price match

Public Pricing

MYR 12000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 26000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2800/day
Material Fees: MYR 600
Total Fees: MYR 11800 ++

Features

4 days
32 modules
Full life-time access
English
Technical: 25 pax

Target Audience

students
engineers

Methodologies

lecture
slides
labs
q&A

Classification

Focus Area Course
  • Addresses skill gaps across industries
  • Emphasizes emerging technologies and practices
  • Enhances workforce capabilities
  • Verified by industry experts
  • Broadly applicable across sectors

Subsidies

HRDC Claimable logo

Instructors

Loading...
Tasmeea Rahman Data Analytics & Engineering Training Specialist
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
TTT Accreditation
TTT Accreditation
Tasmeea Rahman is a highly accomplished corporate trainer and academic professional with a unique blend of technical expertise and pedagogical excellence. Currently pursuing her PhD in Project Management with a focus on Energy Management in the electrical power industry at Universiti Putra Malaysia, she maintains an exceptional 4.00/4.00 CGPA while actively contributing to the professional training landscape. With extensive experience as a Freelance Corporate Trainer since 2023, Tasmeea specializes in delivering comprehensive training programs across multiple domains. Her training portfolio encompasses advanced data analytics tools including Python, Power BI, Minitab, Jaspersoft, Apache Superset, and TIBCO Spotfire, as well as machine learning applications. She also excels in teaching engineering design software such as AutoCAD, Autodesk Fusion 360, Solid Edge, and Autodesk 3Ds Max for both 2D and 3D electrical and mechanical designs. Her project management training capabilities further complement her diverse skill set. Her academic credentials are impressive, holding a Master of Engineering Management from Universiti Putra Malaysia (CGPA: 3.713/4.00), an MBA in Marketing from the University of Dhaka (CGPA: 3.61/4.00), and a Bachelor's degree in Electrical and Electronics Engineering. This multidisciplinary educational background enables her to bridge technical concepts with business applications effectively. As an Adjunct Lecturer at Leading University, she demonstrated her ability to develop curricula and deliver engaging lectures on complex electrical and electronics subjects, including VLSI design, digital signal processing, and microprocessor systems. Tasmeea's research contributions are noteworthy, with publications in high-impact journals including a first-author paper in Renewable and Sustainable Energy Reviews (Q1, Impact Factor: 15.9) and co-authored works in IEEE Access. She holds a Train the Trainer Certification from HRD Corp Malaysia and is certified in Agile Project Management by Google. Her technical proficiency spans programming languages like Python and C++, engineering software including MATLAB and CISCO Packet Tracer, and various data analytics platforms. With her combination of industry experience, academic rigor, and certified training expertise, Tasmeea delivers practical, industry-relevant training that empowers professionals to excel in their respective fields.
8 Students
93 Courses
8 Years
Loading...
Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
Mohammad Mehdi Lotfinejad is a distinguished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science training. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, he leads the development of sophisticated graph databases, data warehouses, and API solutions that power AI-driven legal case analysis systems. His expertise spans the entire data ecosystem, from architecture design to workflow automation and team leadership. With a robust background encompassing more than a decade of hands-on experience in data engineering and data science, Mohammad has successfully implemented enterprise-scale data processing pipelines across multiple industries and geographies. His professional journey includes senior roles at Axiata Digital Advertising (ADA) in Malaysia, where he designed and deployed data pipelines using AWS Redshift, Snowflake, Apache Spark, and Apache Airflow, and at The Center of Applied Data Science, where he led teams delivering training solutions to major corporations including CIMB, PETRONAS, SHELL, and TNB. Mohammad's technical proficiency is comprehensive and current, encompassing cloud platforms (AWS, Google Cloud), data warehousing solutions (Redshift, Snowflake), big data technologies (Apache Spark, Hadoop, Hive), workflow orchestration (Apache Airflow), and multiple database systems (MySQL, PostgreSQL, MongoDB). He holds a Harvard Business School certification in Business Analytics and multiple AWS certifications, including specialized credentials in Big Data, Data Warehousing, and Practical Data Science with Amazon SageMaker. As an educator, Mohammad brings exceptional depth to his training delivery. His academic career includes faculty positions at Payame Noor University and Islamic Azad University, where he served in leadership roles including Chancellor and Department Head. He has authored three technical books and published numerous peer-reviewed papers in international journals. His teaching repertoire covers data engineering, data science, machine learning, software development, and computer architecture, delivered through engaging, hands-on methodologies that bridge theoretical concepts with practical industry applications. Mohammad's unique combination of executive leadership, technical expertise, and proven training capabilities makes him an invaluable resource for organizations seeking to develop their data science and engineering capabilities. His ability to translate complex technical concepts into actionable learning outcomes, coupled with his extensive real-world implementation experience, ensures that training participants gain immediately applicable skills that drive business value.
8 Students
108 Courses
18 Years
Loading...
Dr. Esther Suria Kala ICT & Cybersecurity Training Expert
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate

Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.

Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.

Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.

As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.

Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.

226 Courses
English, Malay, Hindi, German, Tamil
30 Years
Loading...
Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist
Trainer Profile
Trainer Profile
Habil Hadi Mohammed is a highly skilled Mechanical Engineer and Research Fellow specializing in advanced manufacturing technologies, with particular expertise in additive manufacturing, 3D printing, and functionally graded materials (FGM). Currently pursuing his PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM), he combines strong academic credentials with practical engineering experience to deliver innovative solutions across multiple industries. With a Master's degree in Manufacturing Systems Engineering (CGPA 3.81/4) and a Bachelor's in Mechanical Engineering, Habil has established himself as an expert in the rapidly evolving field of additive manufacturing. His research focuses on cutting-edge topics including multi-material 3D printing, material extrusion processes, and surface finishing techniques for FDM printed parts. His work has been recognized at international conferences in Slovenia, Malaysia, and Hong Kong, where he has presented papers on FGM implementation and material flow control in additive manufacturing. As a Research Fellow at UPM since 2021, Habil has demonstrated exceptional capabilities in software development, automation, and prototype design. He has successfully developed software for multi-material FGM 3D printers, designed automated sports equipment, and created hydroponic plant systems. His current role as a Developer Engineer for an international Swiss company showcases his ability to bridge theoretical knowledge with practical application, where he designs, programs, and develops machines using both 3D printing and conventional manufacturing techniques. Habil's technical proficiency spans multiple programming languages including Python, C/C++, Arduino, XCode, and Swift, complemented by expertise in CAD software such as AutoCAD, Fusion360, ANSYS, and SolidWorks. His analytical skills are enhanced by proficiency in data analysis tools including Minitab, SPSS, and Python. Beyond technical skills, his management experience as an Area Manager demonstrates strong leadership abilities, having successfully doubled sales through strategic planning and employee training. Multilingual and culturally adaptable, Habil brings a unique global perspective to engineering challenges, making him an invaluable asset for organizations seeking innovation in manufacturing technology and engineering education.
120 Courses
English
9 Years
Loading...
Mohammed Al-obaydee AI & Data Science Expert
Trainer Profile
Trainer Profile
TTT Certificate
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.
113 Courses
English
21 Years

FAQ

Frequently Asked Questions About This Course

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