Enterprise Architecture

Master enterprise architecture fundamentals and advanced frameworks in this comprehensive training program. Develop expertise in The Open Group Architecture Framework (TOGAF), ArchiMate modeling, governance structures, and strategic implementation. Gain practical skills through hands-on workshops, real-world case studies, and industry-standard tools to drive organizational transformation and digital excellence.

beginner
Enterprise Architecture
We price match

Public Pricing

MYR 5250

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 19500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day
Material Fees: MYR 400
Total Fees: MYR 7600 ++

Features

3 days
24 modules
Full life-time access
English
Technical: 25 pax

Target Audience

students
engineers
managers
executives

Methodologies

lecture
slides
labs
case studies
group discussion
q&A

Subsidies

HRDC Claimable logo

What you'll learn

  • Apply EA frameworks including TOGAF and ArchiMate for organizational modeling
  • Develop architecture governance structures and compliance monitoring processes
  • Create comprehensive EA documentation and stakeholder communication strategies
  • Design current state assessments and target architecture migration roadmaps
  • Implement EA tools and repository management for collaborative modeling
  • Execute end-to-end architecture development using industry best practices

Why should you attend?

This comprehensive training program provides in-depth coverage of Enterprise Architecture (EA) principles, frameworks, and practical implementation strategies. Participants will explore the fundamental concepts of EA, including its definition, purpose, and evolution in modern organizations, while gaining hands-on experience through interactive workshops and real-world case studies. The curriculum covers essential EA frameworks with particular emphasis on The Open Group Architecture Framework (TOGAF) and ArchiMate modeling language. Students will master the Architecture Development Method (ADM), learn to create architecture views and viewpoints, and develop skills in stakeholder management and governance structures. The program includes extensive coverage of EA documentation, communication strategies, and tool selection criteria. Advanced topics include current state assessment methodologies, migration planning, and strategic alignment techniques. Participants will engage in comprehensive workshops that simulate real-world scenarios, from developing architecture visions to creating detailed migration roadmaps. The training emphasizes practical application through hands-on exercises, stakeholder mapping activities, and collaborative modeling sessions using industry-leading EA tools.

Course Syllabus

Day 1 - EA Fundamentals and Frameworks
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 - TOGAF Deep Dive
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 - ArchiMate Modeling Mastery
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

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 Reviews

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 comprehensive training program provides in-depth coverage of Enterprise Architecture (EA) principles, frameworks, and practical implementation strategies. Participants will explore the fundamental concepts of EA, including its definition, purpose, and evolution in modern organizations, while gaining hands-on experience through interactive workshops and real-world case studies. The curriculum covers essential EA frameworks with particular emphasis on The Open Group Architecture Framework (TOGAF) and ArchiMate modeling language. Students will master the Architecture Development Method (ADM), learn to create architecture views and viewpoints, and develop skills in stakeholder management and governance structures. The program includes extensive coverage of EA documentation, communication strategies, and tool selection criteria. Advanced topics include current state assessment methodologies, migration planning, and strategic alignment techniques. Participants will engage in comprehensive workshops that simulate real-world scenarios, from developing architecture visions to creating detailed migration roadmaps. The training emphasizes practical application through hands-on exercises, stakeholder mapping activities, and collaborative modeling sessions using industry-leading EA tools.


What you'll learn

  • Apply EA frameworks including TOGAF and ArchiMate for organizational modeling
  • Develop architecture governance structures and compliance monitoring processes
  • Create comprehensive EA documentation and stakeholder communication strategies
  • Design current state assessments and target architecture migration roadmaps
  • Implement EA tools and repository management for collaborative modeling
  • Execute end-to-end architecture development using industry best practices

Course Syllabus

Day 1 - EA Fundamentals and Frameworks
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 - TOGAF Deep Dive
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 - ArchiMate Modeling Mastery
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

Instructor Reviews

Mohammad Mehdi Lotfinejad

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 5250

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 19500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day
Material Fees: MYR 400
Total Fees: MYR 7600 ++

Features

3 days
24 modules
Full life-time access
English
Technical: 25 pax

Target Audience

students
engineers
managers
executives

Methodologies

lecture
slides
labs
case studies
group discussion
q&A

Subsidies

HRDC Claimable logo

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

FAQ

Frequently Asked Questions About This Course

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