FinOps Engineer: Google Cloud Cost Optimization & Kubernetes

Master the art of financial operations engineering with our expertly designed course focused on optimizing cloud resources and managing costs efficiently. Gain hands-on experience with Google Cloud's cutting-edge tools under the guidance of industry experts. Enroll now to transform your skills in cloud cost management and governance.

Face-to-Face Nov 11, 2026 9:00 AM - 5:00 PM Tasmeea Rahman
intermediate
FinOps Engineer
We price match

Public Pricing

MYR 1750

Corporate Pricing

Pax:

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

Training Provider Pricing

Pax:

Training Fees: MYR 2800/day
Material Fees: MYR 600
Total Fees: MYR 3400 ++

Features

1 day
8 modules
Full life-time access
English
Technical: 25 pax

Target Audience

engineers
managers
executives

Methodologies

lecture
slides
labs
case studies
exam
q&A

Subsidies

HRDC Claimable logo

What you'll learn

  • Implement policy-based automation for cost management.
  • Develop effective governance models for cloud resources.
  • Explore GKE autoscaling fundamentals and advanced strategies.
  • Monitor cloud costs using specialized tools.
  • Understand how to use Google Cloud Recommender for resource optimization.
  • Prepare applications for deployment on optimized GKE clusters.
  • Learn to configure networks for maximum cost efficiency.

Why should you attend?

This course provides a comprehensive exploration of optimizing cloud infrastructure and applications using Google Cloud's advanced tools and strategies. Participants will begin by delving into the Google Cloud Recommender, learning how to retrieve actionable insights for resource optimization. This includes enhancing security measures and reducing costs effectively. Through hands-on labs, learners will gain practical experience in optimizing network expenditures. The curriculum further explores the intricacies of Google Cloud Networking, focusing on the differences between Premium and Standard service tiers. Students will evaluate virtual machine latency and network paths to configure networks that maximize cost efficiency. Practical labs reinforce these concepts, ensuring participants can apply their knowledge in real-world scenarios. A significant portion of the course is dedicated to mastering Google Kubernetes Engine (GKE). Learners will understand GKE autoscaling fundamentals and explore cost-optimized configurations for Kubernetes applications. Advanced autoscaling strategies are also covered, providing insights into monitoring and enforcing policies within GKE environments. Finally, the course addresses cost monitoring and governance, equipping students with tools to manage cloud expenses effectively. By developing governance models and implementing policy-based automation, participants will be prepared to tackle multi-cloud FinOps challenges. The program concludes with a case study that synthesizes all learned concepts into a cohesive FinOps strategy.

Course Syllabus

Day 1
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

Instructor

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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 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."

FAQ

Frequently Asked Questions About This Course

Why should you attend?

This course provides a comprehensive exploration of optimizing cloud infrastructure and applications using Google Cloud's advanced tools and strategies. Participants will begin by delving into the Google Cloud Recommender, learning how to retrieve actionable insights for resource optimization. This includes enhancing security measures and reducing costs effectively. Through hands-on labs, learners will gain practical experience in optimizing network expenditures. The curriculum further explores the intricacies of Google Cloud Networking, focusing on the differences between Premium and Standard service tiers. Students will evaluate virtual machine latency and network paths to configure networks that maximize cost efficiency. Practical labs reinforce these concepts, ensuring participants can apply their knowledge in real-world scenarios. A significant portion of the course is dedicated to mastering Google Kubernetes Engine (GKE). Learners will understand GKE autoscaling fundamentals and explore cost-optimized configurations for Kubernetes applications. Advanced autoscaling strategies are also covered, providing insights into monitoring and enforcing policies within GKE environments. Finally, the course addresses cost monitoring and governance, equipping students with tools to manage cloud expenses effectively. By developing governance models and implementing policy-based automation, participants will be prepared to tackle multi-cloud FinOps challenges. The program concludes with a case study that synthesizes all learned concepts into a cohesive FinOps strategy.


What you'll learn

  • Implement policy-based automation for cost management.
  • Develop effective governance models for cloud resources.
  • Explore GKE autoscaling fundamentals and advanced strategies.
  • Monitor cloud costs using specialized tools.
  • Understand how to use Google Cloud Recommender for resource optimization.
  • Prepare applications for deployment on optimized GKE clusters.
  • Learn to configure networks for maximum cost efficiency.

Course Syllabus

Day 1
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

Instructor Reviews

Tasmeea Rahman

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."

We price match

Public Pricing

MYR 1750

Corporate Pricing

Pax:

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

Training Provider Pricing

Pax:

Training Fees: MYR 2800/day
Material Fees: MYR 600
Total Fees: MYR 3400 ++

Features

1 day
8 modules
Full life-time access
English
Technical: 25 pax

Target Audience

engineers
managers
executives

Methodologies

lecture
slides
labs
case studies
exam
q&A

Subsidies

HRDC Claimable logo

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

FAQ

Frequently Asked Questions About This Course

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