AII033

AI Infrastructure Architect: Machine Learning & Big Data Systems

Q: What are the prerequisites for this AI Infrastructure Architect course?

This intermediate-level course requires a graduate-level qualification and is designed for entry-level professionals and engineers. You should have basic programming knowledge, familiarity with data concepts, and some understanding of machine learning fundamentals. Prior experience with Python programming and basic database concepts would be beneficial but not mandatory.

Q: What specific technologies and frameworks will I learn to use?

You'll gain hands-on experience with industry-leading AI and big data technologies including TensorFlow and PyTorch for machine learning, Apache Spark and Hadoop for big data processing, Apache Airflow and NiFi for pipeline automation, and NoSQL databases like Cassandra, InfluxDB, and Neo4J. You'll also work with HDFS, MapReduce, SparkSQL, and cloud deployment platforms.

Q: How is this 2-day course structured and what teaching methods are used?

This intensive 2-day program combines multiple learning methodologies including lectures, slide presentations, hands-on labs, real-world case studies, and group discussions. The course covers 34 comprehensive modules that progress from core AI frameworks to advanced deployment strategies, ensuring both theoretical understanding and practical application.

Q: What real-world applications and case studies are covered?

The course includes practical case studies on stock market predictions, image recognition systems, anomaly detection, text classification, and automated captioning. These real-world scenarios help you understand how to apply AI infrastructure concepts to solve actual business problems across different industries.

Q: Will I be able to deploy machine learning models after completing this course?

Yes, you'll learn comprehensive deployment strategies for ML models both on-premises and in cloud environments. The course covers model versioning, logging practices, and end-to-end pipeline automation, giving you the skills to successfully deploy and manage AI solutions in production environments.

Q: How does this course address big data challenges in AI infrastructure?

The course extensively covers big data ecosystems including Data Lakes implementation using Hadoop and Spark, efficient handling of large-scale datasets with SparkSQL and DataFrames, managing unstructured binary data with HDFS, and data wrangling techniques. You'll learn to transition from traditional RDDs to advanced data abstractions for better performance.

Q: Does this course provide certification upon completion?

This course does not include formal certification. However, you'll gain comprehensive practical knowledge and hands-on experience with industry-standard AI infrastructure tools and technologies that will significantly enhance your professional capabilities in artificial intelligence and machine learning infrastructure architecture.

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 AI infrastructure architecture with our meticulously crafted course. Excel in machine learning model creation using industry-leading tools like TensorFlow and PyTorch. Harness big data technologies such as Hadoop and Spark for efficient data management. Automate complex data pipelines, delve into NoSQL databases like Cassandra, analyze time series with InfluxDB, explore graph databases with Neo4J, and deploy robust ML solutions across various platforms.

Available in:
Malaysia

Face-to-Face Sep 14-15, 2026 9:00 AM - 5:00 PM Mayur Patil

Created: December 4th 2020, 2:09 PM MYT Last Modified: September 2nd 2026, 6:00 AM MYT

updated

intermediate

Artificial Intelligence – Infrastructure Architect

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 2800/day

Material Fees: MYR 600

Total Fees: MYR 6200 ++

Features

2 days

16 modules

23 intakes

English

Technical: 25 pax

Target Audience

students

engineers

Methodologies

lecture

slides

labs

case studies

group discussion

Subsidies

What you'll learn

Automate end-to-end data pipelines leveraging Apache Airflow and NiFi
Model graph-based data structures using Neo4J
Design effective NoSQL database schemas with Cassandra
Deploy machine learning models on-premises or via cloud services
Understand TensorFlow and PyTorch frameworks for ML applications
Manage unstructured binary data with HDFS and MapReduce
Analyze time series data using InfluxDB's querying capabilities
Utilize SparkSQL for executing SQL commands on large datasets
Implement Data Lakes using Hadoop and Spark for optimal data storage

Why should you attend?

Dive into the vast and intricate world of Artificial Intelligence infrastructure with a focus on enabling machines to emulate human intelligence. This course encompasses an array of topics, beginning with the core frameworks like TensorFlow and PyTorch that are instrumental in building Machine Learning (ML) and Deep Learning models. Understand how these frameworks apply to real-world applications such as image recognition, natural language processing (NLP), and time series analysis. The curriculum advances to cover SparkSQL, DataFrames, and Datasets, highlighting their importance in handling large-scale data efficiently. It emphasizes the shift from traditional RDDs to more advanced data abstractions for better performance and ease of use. Delving into big data ecosystems, learners will explore Data Lakes using Hadoop and Spark, gaining insights into data wrangling techniques essential for managing voluminous datasets. Automation of data pipelines is another critical component covered in this course, where students learn to orchestrate workflows using tools like Apache Airflow and Apache NiFi while ensuring data quality and lineage tracking. The program also addresses handling unstructured binary data with Hadoop's file system (HDFS) and MapReduce framework, providing a comprehensive understanding of different data types. Learners will also get acquainted with NoSQL databases through Cassandra for structured big data management, InfluxDB for time series data analysis, and Neo4J for graph-based data modeling. Finally, the course culminates with practical deployment strategies for ML models both on-premises and in the cloud along with versioning and logging practices. Real-world case studies on stock market predictions, image recognition, anomaly detection, text classification, and captioning offer hands-on experience to solidify learning outcomes.

Course Syllabus

Day 1 - Data Processing Foundations

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 - Database Systems & Deployment

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

Ratings and Reviews

( 4 ratings )

75%

25%

( 0 reviews )

Instructor

Mayur Patil Senior Software Architect & Cloud Solutions Expert

Trainer Profile

Mayur Patil is a highly accomplished Software Architect and Tech Head with over 16 years of comprehensive programming experience across diverse technology stacks and platforms. Currently serving as Technology Head at Aurelia Innovatives Pvt. Ltd., he brings a wealth of expertise in designing and implementing scalable, secure enterprise solutions for financial institutions, medical organizations, and large-scale enterprises. As a Microsoft Certified Professional holding MCP, MCAD, and MCSD.Net certifications, Mayur specializes in modern application architecture, microservices development, and cloud solutions. His technical proficiency spans full-stack development with NodeJS, ASP.Net Core 6, and Angular 14, alongside deep expertise in microservice architecture using RabbitMQ and KAFKA with CQRS and DDD patterns. He excels in containerization solutions using Docker and Kubernetes, with extensive experience in deployment strategies across IIS, Nginx, and Apache web servers. Mayur's mobile development credentials are equally impressive, with over 11 years of iOS development experience using Swift and XCode, complemented by enterprise Android development expertise. He has successfully deployed over 30 live applications across Apple App Store and Google Play Store. His innovative work extends to Unity3D development for Virtual Reality and Augmented Reality applications, demonstrating his ability to work at the cutting edge of immersive technologies. As an AWS Solution Architect Consultant, Mayur designs and executes multi-cluster, multi-region cloud architectures optimized for high scalability, low latency, and fault tolerance. His DevOps expertise encompasses Docker, Kubernetes, Jenkins automation, GitOps with GitHub Actions, Ansible, and Terraform for infrastructure provisioning across AWS, Azure, and GCP platforms. Beyond his technical capabilities, Mayur is a distinguished corporate trainer who has successfully trained hundreds of experienced developers in transitioning from legacy systems to modern frameworks, including VUE 2 to VUE 3 migrations and Angular enterprise application development. His teaching approach combines real-world architectural insights with hands-on implementation strategies, making complex concepts accessible to development teams across multinational corporations. His commitment to research and innovation is evident through his custom solutions, including dynamic form generation engines, real-time collaboration tools, and customized OCR engines, positioning him as both a technical leader and an educator who drives organizational transformation through technology excellence.

1 Student

17 Courses

20 Years

( 3 ratings )

100%

( 3 reviews )

Instructor

Dr. Esther Suria Kala ICT & Cybersecurity Training Expert

Trainer Profile

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.

225 Courses

English, Malay, Hindi, German, Tamil

30 Years

( 0 ratings )

( 0 reviews )

Instructor

Mohammed Al-obaydee AI & Data Science Expert

Trainer Profile

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

( 0 ratings )

( 0 reviews )

Instructor

Uzair Aslam Senior Data Scientist & ML Expert

Trainer Profile

TTT Certificate

TTT Accreditation

Uzair Aslam is an accomplished Data Scientist with extensive expertise in machine learning, artificial intelligence, and advanced analytics. With a proven track record of delivering transformative data-driven solutions across the financial services and telecommunications sectors, he brings a unique combination of technical excellence and business acumen to every project. Currently serving as AVP - Senior Data Scientist at Maybank, Uzair has spearheaded the development of cutting-edge fraud detection models that have revolutionized risk management processes. His innovative machine learning solution reduced false positive review time by 75%, saving approximately 2,940 man hours and significantly improving operational efficiency. He has successfully engineered sophisticated fraud detection systems combining Computer Vision and Natural Language Processing, utilizing OCR technology for document analysis and anomaly detection. His leadership extends to managing cross-functional teams and developing automated business intelligence solutions, including news web-scraping applications for risk event monitoring across the Asia Pacific region. Uzair's professional journey includes valuable experience as a Specialist Data Scientist at The CADS, where he provided strategic advisory services to major international clients including Petronas, Shell, and CIMB. His consulting expertise focuses on translating complex business requirements into actionable data science use cases. He has also demonstrated exceptional training capabilities, delivering corporate training programs on Machine Learning, Deep Learning, and Natural Language Processing to diverse professional audiences. With a Master's degree in Data Science & Business Analytics from Asia Pacific University (achieved with Distinction) and a Bachelor's in Electronics Engineering, Uzair possesses a solid academic foundation complemented by numerous industry certifications. His technical proficiency spans Python, R, SQL, Spark, SAS, and HiveQL, along with expertise in modern data science platforms including Tableau, Power BI, DataRobot, H2O.ai, and Dataiku. His project portfolio demonstrates versatility across fraud detection, credit scoring, opinion spam detection, electricity load forecasting, and neural network applications, showcasing his ability to apply advanced statistical and machine learning concepts to solve real-world business challenges.

58 Courses

English

10 Years

( 0 ratings )

( 0 reviews )

Instructor Reviews

Mayur Patil

Senior Software Architect & Cloud Solutions Expert

"Excellent instructor and adore his pleasant demeanor towards audiences. In reality, the instruction had assisted me with a piece of work I had to complete on the day of the course. In my profession, I can already envision several use cases and time-saving situations."

"The instruction was excellent. I've attended several web/mobile development trainings, but this was by far the finest. Excellent explanation, structure, and the Mr. Mayur made monolithics and microservices simple to grasp. Thank you!"

"Mayur was very helpful in answering queries and explaining complex ideas in simpler words."

FAQ

Frequently Asked Questions About This Course

What are the prerequisites for this AI Infrastructure Architect course?

What specific technologies and frameworks will I learn to use?

How is this 2-day course structured and what teaching methods are used?

What real-world applications and case studies are covered?

Will I be able to deploy machine learning models after completing this course?

How does this course address big data challenges in AI infrastructure?

Does this course provide certification upon completion?

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

Automate end-to-end data pipelines leveraging Apache Airflow and NiFi
Model graph-based data structures using Neo4J
Design effective NoSQL database schemas with Cassandra
Deploy machine learning models on-premises or via cloud services
Understand TensorFlow and PyTorch frameworks for ML applications
Manage unstructured binary data with HDFS and MapReduce
Analyze time series data using InfluxDB's querying capabilities
Utilize SparkSQL for executing SQL commands on large datasets
Implement Data Lakes using Hadoop and Spark for optimal data storage

Course Syllabus

Day 1 - Data Processing Foundations

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 - Database Systems & Deployment

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