AKT991

Advanced Kafka: Tuning and Scaling for High-Performance Systems

Q: What are the prerequisites for this Advanced Kafka course?

This is an advanced-level course designed for engineers with undergraduate qualifications. You should have prior experience with Apache Kafka fundamentals, including basic understanding of distributed systems, event streaming concepts, and familiarity with command-line interfaces. Previous hands-on experience with Kafka producers, consumers, and basic cluster operations is highly recommended.

Q: What specific skills will I gain from this 2-day intensive course?

You will master advanced Kafka skills including: performance tuning for producers and consumers, designing high-availability clusters with robust security, implementing advanced stream processing with KStream and KTable, monitoring clusters using JMX metrics, managing schema registries, troubleshooting complex issues, and building scalable Kafka solutions from scratch with comprehensive performance testing.

Q: Does this course include hands-on practical experience?

Yes, this course combines multiple learning methodologies including lectures, slides, real-world case studies, hands-on labs, and interactive Q&A sessions. You'll gain practical experience with Kafka installation using Kraft, CLI commands, producer/consumer configurations, cluster monitoring tools, and implementing complete scalable solutions.

Q: What makes this course different from basic Kafka training?

This advanced course goes beyond fundamentals to focus on production-ready skills. You'll learn critical topics like idempotent and transactional producers, advanced consumer rebalancing strategies, cluster design for high availability, security implementation, performance optimization techniques, and enterprise-level monitoring and troubleshooting that aren't covered in basic courses.

Q: Will I learn about Kafka Streams and advanced processing techniques?

Yes, the course covers advanced stream processing concepts extensively. You'll learn to implement sophisticated streaming solutions using KStream and KTable, understand stream processing architectures, work with Kafka connectors, and master techniques for building efficient, scalable stream processing applications.

Q: Does this course cover Kafka cluster management and operations?

Absolutely. You'll learn comprehensive cluster management including deployment architectures, cluster setup and maintenance, upgrade procedures, advanced troubleshooting techniques, monitoring using JMX metrics and Kafka manager tools, and implementing robust security measures for production environments.

Q: Is there a certification provided upon completion of this course?

This course does not include a formal certification. However, you will gain comprehensive, production-ready skills in advanced Kafka tuning and scaling that are highly valued in the industry. The intensive 2-day program provides practical expertise that demonstrates your advanced Kafka capabilities to employers.

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 art of tuning and scaling Apache Kafka under expert guidance. Enroll in our specialized training program tailored specifically to this course for an in-depth skill set in optimizing performance and ensuring reliability in your Kafka deployments.

Available in:
Malaysia

Face-to-Face Nov 19-20, 2026 9:00 AM - 5:00 PM Mohammad Mehdi Lotfinejad

Created: June 8th 2024, 3:38 PM MYT Last Modified: November 4th 2026, 6:00 AM MYT

updated

advanced

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 3200/day

Material Fees: MYR 800

Total Fees: MYR 7200 ++

Features

2 days

16 modules

1 intake

Full life-time access

English

Technical: 25 pax

Target Audience

engineers

Methodologies

lecture

slides

labs

case studies

q&A

Subsidies

What you'll learn

Monitor Kafka clusters effectively using JMX metrics and manager tools.
Develop scalable solutions by designing from scratch with performance testing.
Optimize producer performance through advanced configurations and API usage.
Design high-availability Kafka clusters with robust security measures.
Enhance consumer efficiency by configuring offsets, groups, rebalancing strategies.
Implement advanced stream processing techniques using KStream and KTable.
Understand the architecture of Apache Kafka including producers, consumers, brokers, topics, partitions, and replication.
Install and configure Kafka using Kraft while mastering CLI commands.

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

( 3 ratings )

100%

( 3 reviews )

Instructor Reviews

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

What are the prerequisites for this Advanced Kafka course?

What specific skills will I gain from this 2-day intensive course?

Does this course include hands-on practical experience?

What makes this course different from basic Kafka training?

Will I learn about Kafka Streams and advanced processing techniques?

Does this course cover Kafka cluster management and operations?

Is there a certification provided upon completion of this course?

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

Monitor Kafka clusters effectively using JMX metrics and manager tools.
Develop scalable solutions by designing from scratch with performance testing.
Optimize producer performance through advanced configurations and API usage.
Design high-availability Kafka clusters with robust security measures.
Enhance consumer efficiency by configuring offsets, groups, rebalancing strategies.
Implement advanced stream processing techniques using KStream and KTable.
Understand the architecture of Apache Kafka including producers, consumers, brokers, topics, partitions, and replication.
Install and configure Kafka using Kraft while mastering CLI commands.

End of Day 2