MLW066

Machine Learning with Python and Java - Complete Training Course

Q: What programming languages will I use in this course?

This course focuses on machine learning implementation using both Python and Java. You'll work extensively with Python libraries like pandas, NumPy, and Scikit-learn for data analysis and model building, while also exploring Java-based frameworks like Deeplearning4j for deep learning applications.

Q: What are the prerequisites for this intermediate-level course?

This course requires an undergraduate-level background and is designed for engineers. You should have basic programming experience in Python and/or Java, fundamental understanding of mathematics and statistics, and familiarity with data structures. Prior exposure to data analysis concepts would be beneficial but not mandatory.

Q: What certification will I receive upon completion?

Upon successful completion of this 4-day course, you will receive the 'Certified Machine Learning Specialist' certification, which validates your proficiency in machine learning algorithms, data preprocessing, model evaluation, and practical implementation using Python and Java.

Q: What types of machine learning will I learn about?

You'll gain comprehensive knowledge of all major machine learning paradigms including supervised learning (classification and regression), unsupervised learning (clustering analysis), and reinforcement learning. The course also covers advanced topics like artificial neural networks, deep learning, and LSTM for time series analysis.

Q: How is the course structured and what teaching methods are used?

This 4-day intensive course combines lectures, slide presentations, and hands-on laboratory sessions. You'll engage with practical examples ranging from sentiment analysis to ensemble learning, ensuring you gain both theoretical knowledge and real-world application experience through a blend of instructional methods.

Q: Will I learn to deploy machine learning models in real applications?

Yes, the course includes practical training on integrating machine learning models into web applications for real-world use cases. You'll learn not just how to build models, but also how to implement them in production environments, making your skills immediately applicable in professional settings.

Q: What advanced topics are covered beyond basic machine learning?

Beyond fundamental machine learning concepts, you'll explore advanced topics including dimensionality reduction techniques (PCA and LDA), deep learning using Deeplearning4j, artificial neural networks for image recognition, LSTM networks for time series analysis, and sophisticated model evaluation strategies including cross-validation and hyperparameter tuning.

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 machine learning with our dynamic course designed for enthusiasts eager to unlock the power of algorithms using Python and Java. Engage with practical examples, from sentiment analysis to ensemble learning, and elevate your skills in data science.

Online Jun 1-4, 2026 9:00 AM - 5:00 PM Dr. Esther Suria Kala

Created: January 14th 2020, 2:02 AM MYT Last Modified: May 29th 2026, 6:02 AM MYT

updated

intermediate

We price match

Public Pricing

MYR 7000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day

Total Fees: MYR 26000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2800/day

Material Fees: MYR 600

Total Fees: MYR 11800 ++

Certification

Certified Machine Learning Specialist

Veritas

Validity: 2 years

Features

4 days

32 modules

Full life-time access

English

Technical: 25 pax

Target Audience

engineers

Methodologies

lecture

slides

labs

Subsidies

What you'll learn

Utilize Scikit-learn for building sophisticated classification models.
Perform data preprocessing and dimensionality reduction for optimized model performance.
Learn to implement various machine learning algorithms using Python.
Explore regression analysis techniques for predicting continuous outcomes.
Gain proficiency in deep learning frameworks like Deeplearning4j.
Understand the fundamental concepts of machine learning.
Evaluate models accurately using cross-validation and hyperparameter tuning techniques.
Integrate machine learning models into web applications for real-world use cases.

Recap and Q&A

15 mins

End of Day 4

Ratings and Reviews

( 3 ratings )

100%

( 3 reviews )

Instructor

Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer

Trainer Profile

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

102 Courses

18 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

Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist

Trainer Profile

Habil Hadi Mohammed is a highly skilled Mechanical Engineer and Research Fellow specializing in advanced manufacturing technologies, with particular expertise in additive manufacturing, 3D printing, and functionally graded materials (FGM). Currently pursuing his PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM), he combines strong academic credentials with practical engineering experience to deliver innovative solutions across multiple industries. With a Master's degree in Manufacturing Systems Engineering (CGPA 3.81/4) and a Bachelor's in Mechanical Engineering, Habil has established himself as an expert in the rapidly evolving field of additive manufacturing. His research focuses on cutting-edge topics including multi-material 3D printing, material extrusion processes, and surface finishing techniques for FDM printed parts. His work has been recognized at international conferences in Slovenia, Malaysia, and Hong Kong, where he has presented papers on FGM implementation and material flow control in additive manufacturing. As a Research Fellow at UPM since 2021, Habil has demonstrated exceptional capabilities in software development, automation, and prototype design. He has successfully developed software for multi-material FGM 3D printers, designed automated sports equipment, and created hydroponic plant systems. His current role as a Developer Engineer for an international Swiss company showcases his ability to bridge theoretical knowledge with practical application, where he designs, programs, and develops machines using both 3D printing and conventional manufacturing techniques. Habil's technical proficiency spans multiple programming languages including Python, C/C++, Arduino, XCode, and Swift, complemented by expertise in CAD software such as AutoCAD, Fusion360, ANSYS, and SolidWorks. His analytical skills are enhanced by proficiency in data analysis tools including Minitab, SPSS, and Python. Beyond technical skills, his management experience as an Area Manager demonstrates strong leadership abilities, having successfully doubled sales through strategic planning and employee training. Multilingual and culturally adaptable, Habil brings a unique global perspective to engineering challenges, making him an invaluable asset for organizations seeking innovation in manufacturing technology and engineering education.

121 Courses

English

9 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.

59 Courses

English

10 Years

( 0 ratings )

( 0 reviews )

Prerequisites

Java Programming - Intermediate

Python

Required Software

Anaconda

DeepLearning4J

Course Reviews

"Very thorough and laid out very logically. Lots of great information on machine learning and deep learning with Python and Java."

"Very well taught course. A lot of knowledge provided in an interactive manner and it wasn't overwhelming."

"Really rich and resourceful, comprehensive course. Kudos. I have taken several courses, but this one is really well done."

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 programming languages will I use in this course?

What are the prerequisites for this intermediate-level course?

What certification will I receive upon completion?

What types of machine learning will I learn about?

How is the course structured and what teaching methods are used?

Will I learn to deploy machine learning models in real applications?

What advanced topics are covered beyond basic machine learning?

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

Utilize Scikit-learn for building sophisticated classification models.
Perform data preprocessing and dimensionality reduction for optimized model performance.
Learn to implement various machine learning algorithms using Python.
Explore regression analysis techniques for predicting continuous outcomes.
Gain proficiency in deep learning frameworks like Deeplearning4j.
Understand the fundamental concepts of machine learning.
Evaluate models accurately using cross-validation and hyperparameter tuning techniques.
Integrate machine learning models into web applications for real-world use cases.

End of Day 4

Course Reviews

"Very thorough and laid out very logically. Lots of great information on machine learning and deep learning with Python and Java."

"Very well taught course. A lot of knowledge provided in an interactive manner and it wasn't overwhelming."

"Really rich and resourceful, comprehensive course. Kudos. I have taken several courses, but this one is really well done."