Terraform

Master the art of cloud orchestration with our expertly designed Terraform training program. Gain unparalleled skills in deploying and managing infrastructure through hands-on exercises guided by industry experts. Enroll now for an immersive learning experience tailored specifically for your success.

Online Jul 14, 2025 9:00 AM - 5:00 PM Mohammad Mehdi Lotfinejad
updated
beginner
Terraform
We price match

Public Pricing

MYR 1750

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 4800
Material Fees: MYR 400
Total Fees: MYR 5200

Features

2 days
14 modules
17 intakes
English

Subsidies

HRDC Claimable logo

What you'll learn

  • Manage databases effectively with Terraform including RDS and Aurora DB instances
  • Create and utilize modules while understanding remote state management
  • Integrate Jenkins with Terraform for seamless continuous integration workflows
  • Explore script execution techniques using Terraform for platform configuration
  • Understand the fundamental concepts of cloud orchestration and Terraform
  • Learn Terraform syntax including providers, resources, variables, data sources, and outputs
  • Gain practical experience in provisioning resources and managing compute instances
  • Automate application deployment processes using Terraform

Why should you attend?

This course provides a comprehensive introduction to Terraform, a leading tool in cloud orchestration. Participants will begin by exploring the fundamental concepts of cloud orchestration and how Terraform stands out among other tools in this domain. The course delves into the core components of Terraform, offering insights into its architecture and functionality. As learners progress, they will gain hands-on experience with Terraform's programming structure. This includes understanding syntax elements such as providers, resources, variables, data sources, and outputs. Practical coding examples will be provided to illustrate how these components work together to connect to various cloud services. The course further explores resource provisioning with Terraform, focusing on creating and managing compute instances. Participants will learn about data sources and templates, enhancing their ability to efficiently manage infrastructure. In addition to resource management, the course covers script executions using Terraform. Learners will discover how to integrate external scripts and use shell script remote executors for configuring platforms on virtual machines. Deployment automation is another key focus area, where participants will learn to deploy applications using Terraform. The course also covers advanced topics like managing databases with Terraform, including launching RDS and Aurora DB instances. Finally, the course addresses the creation and use of modules, module variables, and the concept of remote state management. Integration with Jenkins is also discussed to provide a holistic view of continuous integration and deployment workflows.

Course Syllabus

Understanding Cloud Orchestration code and Terraform
Why Terraform?
Terraform Vs. Other Orchestration Tools – Why Terraform is the right choice
Core Terraform Components
Fundamental Concepts
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2

Instructor

Loading...
Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer Teaching

Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer with a profound expertise in data science and engineering, amassing over ten years of experience in developing data processing pipelines for enterprise insights. He is a proven leader with exceptional communication, presentation, and leadership skills, certified as an HRDF trainer with more than 15 years of experience as a computer science instructor both in academia and as a professional data science/engineering trainer in the industry. His academic credentials include a PhD in Computer Science from Universiti Malaya, Malaysia, and he holds certifications from Harvard Business School in Business Analytics. Mohammad specializes in cutting-edge technologies such as Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API and Microservices, and Amazon Web Services. Currently serving as the Chief Data and Knowledge Officer at Magna.ai since February 2024, Mohammad leads the development of graph databases and data warehouses to support AI-driven law case analysis services. He architects robust API and microservice solutions to enhance system interoperability and scalability while ensuring data security and compliance with legal standards. Prior to this role, he has been contributing his expertise as a Senior Data Engineer at AXIATA Digital Advertising (ADA) since March 2020. Here, he collaborates on designing automated data pipelines using AWS RedShift and Snowflake for storing telco data and implements BI dashboards leveraging Google BigQuery. From June 2018 to February 2020, Mohammad was the Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science in Kuala Lumpur. He led teams of data scientists and engineers to design professional training programs for prominent clients like CIMB, PETRONAS, SHELL, and TNB. His earlier roles include leading big data engineering teams at RAHA in Iran where he developed large-scale analytics pipelines using Hadoop Ecosystem tools like Hive and Spark. In academia, Mohammad served as a faculty member at Payame Noor University from September 2014 to June 2018 where he supervised graduate research projects and contributed significantly to curriculum development. His tenure also includes leadership positions at Islamic Azad University where he managed departments to achieve high academic standards. With technical proficiencies spanning RDBMS like MySQL and PostgreSQL to programming languages such as Python and C++, Mohammad is adept at web design using HTML/CSS/Bootstrap alongside project management skills including Scrum Master certification. His published works include books on Object-Oriented Programming and Project Management Fundamentals along with numerous journal articles on topics ranging from solar radiation prediction models to machine learning algorithms for intrusion detection systems.

5 Students
61 Courses

Minimum Qualification

graduate

Target Audience

entry level
engineers
mid level managers

Methodologies

lecture
slides
case studies
group discussion
q&A

Course Reviews

A
Aamer
3 years ago
3 years ago

This course is ideal for anybody searching for a source to learn cloud SQL. As a trainer, I strongly suggest this course because of the numerous materials provided by the instructor.

AA
Anak Agung
3 years ago
3 years ago

I would strongly advise other students to take this course.

AK
Aisha K
3 years ago
3 years ago

This course helped me move toward my degree.

Instructor Reviews

Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer
MO
Michael Ogheneme
1 year ago
1 year ago

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.

AJ
Amin Jula
1 year ago
1 year ago

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

KO
Kennedy Okonkwo
1 year ago
1 year ago

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.

Why should you attend?

This course provides a comprehensive introduction to Terraform, a leading tool in cloud orchestration. Participants will begin by exploring the fundamental concepts of cloud orchestration and how Terraform stands out among other tools in this domain. The course delves into the core components of Terraform, offering insights into its architecture and functionality. As learners progress, they will gain hands-on experience with Terraform's programming structure. This includes understanding syntax elements such as providers, resources, variables, data sources, and outputs. Practical coding examples will be provided to illustrate how these components work together to connect to various cloud services. The course further explores resource provisioning with Terraform, focusing on creating and managing compute instances. Participants will learn about data sources and templates, enhancing their ability to efficiently manage infrastructure. In addition to resource management, the course covers script executions using Terraform. Learners will discover how to integrate external scripts and use shell script remote executors for configuring platforms on virtual machines. Deployment automation is another key focus area, where participants will learn to deploy applications using Terraform. The course also covers advanced topics like managing databases with Terraform, including launching RDS and Aurora DB instances. Finally, the course addresses the creation and use of modules, module variables, and the concept of remote state management. Integration with Jenkins is also discussed to provide a holistic view of continuous integration and deployment workflows.

What you'll learn

  • Manage databases effectively with Terraform including RDS and Aurora DB instances
  • Create and utilize modules while understanding remote state management
  • Integrate Jenkins with Terraform for seamless continuous integration workflows
  • Explore script execution techniques using Terraform for platform configuration
  • Understand the fundamental concepts of cloud orchestration and Terraform
  • Learn Terraform syntax including providers, resources, variables, data sources, and outputs
  • Gain practical experience in provisioning resources and managing compute instances
  • Automate application deployment processes using Terraform

Course Syllabus

Understanding Cloud Orchestration code and Terraform
Why Terraform?
Terraform Vs. Other Orchestration Tools – Why Terraform is the right choice
Core Terraform Components
Fundamental Concepts
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2

Course Reviews

A
Aamer
3 years ago
3 years ago

This course is ideal for anybody searching for a source to learn cloud SQL. As a trainer, I strongly suggest this course because of the numerous materials provided by the instructor.

AA
Anak Agung
3 years ago
3 years ago

I would strongly advise other students to take this course.

AK
Aisha K
3 years ago
3 years ago

This course helped me move toward my degree.

Instructor Reviews

Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer
MO
Michael Ogheneme
1 year ago
1 year ago

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.

AJ
Amin Jula
1 year ago
1 year ago

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

KO
Kennedy Okonkwo
1 year ago
1 year ago

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 1750

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 4800
Material Fees: MYR 400
Total Fees: MYR 5200

Features

2 days
14 modules
17 intakes
English

Subsidies

HRDC Claimable logo

Instructor

Loading...
Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer Teaching

Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer with a profound expertise in data science and engineering, amassing over ten years of experience in developing data processing pipelines for enterprise insights. He is a proven leader with exceptional communication, presentation, and leadership skills, certified as an HRDF trainer with more than 15 years of experience as a computer science instructor both in academia and as a professional data science/engineering trainer in the industry. His academic credentials include a PhD in Computer Science from Universiti Malaya, Malaysia, and he holds certifications from Harvard Business School in Business Analytics. Mohammad specializes in cutting-edge technologies such as Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API and Microservices, and Amazon Web Services. Currently serving as the Chief Data and Knowledge Officer at Magna.ai since February 2024, Mohammad leads the development of graph databases and data warehouses to support AI-driven law case analysis services. He architects robust API and microservice solutions to enhance system interoperability and scalability while ensuring data security and compliance with legal standards. Prior to this role, he has been contributing his expertise as a Senior Data Engineer at AXIATA Digital Advertising (ADA) since March 2020. Here, he collaborates on designing automated data pipelines using AWS RedShift and Snowflake for storing telco data and implements BI dashboards leveraging Google BigQuery. From June 2018 to February 2020, Mohammad was the Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science in Kuala Lumpur. He led teams of data scientists and engineers to design professional training programs for prominent clients like CIMB, PETRONAS, SHELL, and TNB. His earlier roles include leading big data engineering teams at RAHA in Iran where he developed large-scale analytics pipelines using Hadoop Ecosystem tools like Hive and Spark. In academia, Mohammad served as a faculty member at Payame Noor University from September 2014 to June 2018 where he supervised graduate research projects and contributed significantly to curriculum development. His tenure also includes leadership positions at Islamic Azad University where he managed departments to achieve high academic standards. With technical proficiencies spanning RDBMS like MySQL and PostgreSQL to programming languages such as Python and C++, Mohammad is adept at web design using HTML/CSS/Bootstrap alongside project management skills including Scrum Master certification. His published works include books on Object-Oriented Programming and Project Management Fundamentals along with numerous journal articles on topics ranging from solar radiation prediction models to machine learning algorithms for intrusion detection systems.

5 Students
61 Courses

Minimum Qualification

graduate

Target Audience

entry level
engineers
mid level managers

Methodologies

lecture
slides
case studies
group discussion
q&A
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