Certified Artificial Intelligence Training Course Online

Excel in Artificial Intelligence with our tailored training program designed to equip you with a deep understanding of AI concepts, theories, methodologies, tools like R and Python, model validation techniques, data visualization strategies using Tableau and D3, along with real-world business application cases across various industries.

intermediate
Certified in Artificial Intelligence
We price match

Public Pricing

MYR 10500

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 39000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2800/day
Material Fees: MYR 600
Total Fees: MYR 17400 ++

Certification

Azul Certified AI Specialist
Azul Certified AI Specialist
Azul
Validity: 2 years

Features

6 days
48 modules
English
Technical: 25 pax

Target Audience

students
engineers

Methodologies

lecture
slides
labs
case studies
group discussion
q&A

Subsidies

HRDC Claimable logo

What you'll learn

  • Master data visualization for effective communication of insights.
  • Explore algorithms, neural networks, machine learning (ML), deep learning (DL), NLP.
  • Develop strategic plans for integrating AI within an organization.
  • Acquire skills in model creation/validation using statistical methods.
  • Prototype AI solutions considering ethical implications.
  • Learn about agents' structures in AI environments.
  • Understand the fundamental concepts and history of Artificial Intelligence.
  • Apply AI techniques to real-world business scenarios.

Why should you attend?

Embark on a comprehensive journey through the realm of Artificial Intelligence (AI), exploring its fundamental concepts, theoretical underpinnings, and practical applications. This course delves into the diverse AI landscape, tracing its evolution from historical milestones to current advancements. Gain insights into the characteristics, advantages, and limitations of AI systems, setting the stage for deeper engagement with the subject. Understand core principles such as agents and their environments, algorithmic frameworks including neural networks, and the integral role of linear algebra and statistics in AI development. Discover how recent developments like Big Data, cloud computing, and mobile technology are reshaping AI's impact on various industries. Grasp the significance of machine learning and deep learning through hands-on exploration of image and speech recognition, search optimization, data pattern recognition, and more. The course also covers Natural Language Processing (NLP) techniques for information retrieval, syntactic analysis, and language translation. Reinforcement learning is demystified with a focus on both passive and active approaches. Model creation and validation are addressed through predictive analytics and clustering methods using tools like R and Python. Perception modules investigate vision perception and image processing operations while neural network sessions examine different architectures and learning processes. Data visualization is emphasized to enhance exploratory analysis and communication of findings using tools like Tableau and D3. Real-world applications in business contexts showcase how AI can optimize processes such as logistics, customer service, invoice processing, while use cases span healthcare to finance sectors. The course concludes by guiding learners through initiating an AI strategy within their organizations—aligning ambitions with business goals, assessing maturity levels, developing road maps, prototyping AI solutions while avoiding pitfalls like data bias.

Course Syllabus

Day 1 - AI Fundamentals and History
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 - AI Theory and Agents
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
Day 3 - Machine Learning Essentials
Module 17
Module 18
Short Break
15 mins
Module 19
Module 20
Recap and Q&A
15 mins
Lunch
1 hour
Module 21
Module 22
Short Break
15 mins
Module 23
Module 24
Recap and Q&A
15 mins
End of Day 3
Day 4 - Natural Language Processing
Module 25
Module 26
Short Break
15 mins
Module 27
Module 28
Recap and Q&A
15 mins
Lunch
1 hour
Module 29
Module 30
Short Break
15 mins
Module 31
Module 32
Recap and Q&A
15 mins
End of Day 4
Day 5 - Neural Networks and Visualization
Module 33
Module 34
Short Break
15 mins
Module 35
Module 36
Recap and Q&A
15 mins
Lunch
1 hour
Module 37
Module 38
Short Break
15 mins
Module 39
Module 40
Recap and Q&A
15 mins
End of Day 5
Day 6 - AI Business Applications
Module 41
Module 42
Short Break
15 mins
Module 43
Module 44
Recap and Q&A
15 mins
Lunch
1 hour
Module 45
Module 46
Short Break
15 mins
Module 47
Module 48
Recap and Q&A
15 mins
End of Day 6

Instructor

Loading...
Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer
Trainer Profile
Trainer Profile
TTT Certificate
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
101 Courses
18 Years

Instructor

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Nasruddin Bin Sultan Certified Professional Trainer
Trainer Profile
Trainer Profile
TTT Accreditation
TTT Accreditation
Nasruddin Bin Sultan is a certified professional trainer with a proven track record in delivering high-quality technical and professional training programs. With his certification valid through 2027, he demonstrates a commitment to maintaining current industry standards and best practices in training delivery. As a registered trainer with comprehensive credentials, Nasruddin brings a structured and methodical approach to skills development and knowledge transfer. His certification reflects his dedication to professional excellence and his ability to meet the rigorous standards required in the training industry. He is equipped to design and deliver engaging learning experiences that cater to diverse learning styles and professional backgrounds. Nasruddin's expertise lies in creating effective learning environments that facilitate knowledge retention and practical application. His approach to training emphasizes hands-on learning, real-world scenarios, and interactive methodologies that ensure participants can immediately apply their newly acquired skills in their professional roles. He understands the importance of aligning training content with organizational objectives and individual career development goals. Throughout his career, Nasruddin has demonstrated the ability to adapt training materials and delivery methods to suit various audience levels, from beginners to advanced practitioners. His certification validates his competency in instructional design, training delivery, assessment methodologies, and continuous improvement practices. He maintains a learner-centric philosophy, ensuring that each training session is tailored to maximize engagement and learning outcomes. Nasruddin's professional credentials underscore his commitment to excellence in the training field. He stays current with evolving industry trends, training technologies, and pedagogical approaches to ensure his training programs remain relevant and impactful. His ability to connect with learners, simplify complex concepts, and foster collaborative learning environments makes him a valuable asset for organizations seeking to upskill their workforce and achieve their strategic training objectives.
5 Courses
English, Malay
10 Years

Instructor

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Dr. Meisin Lee AI Research Fellow & Data Science Expert
Trainer Profile
Trainer Profile
Dr. Meisin Lee is a distinguished AI Research Fellow and AI Scientist with specialized expertise in Speech AI, Generative AI, and Large Language Models (LLMs), particularly within the finance domain. Currently serving as an AI Scientist at Maybank since August 2024, she brings a unique combination of cutting-edge AI research capabilities and over 10 years of business IT experience to her training and consulting work. Dr. Lee's academic credentials are exceptional, holding a PhD from Monash University where her research focused on Machine Learning, Deep Learning, and Natural Language Processing. During her doctoral studies, she published multiple papers in prestigious conferences including ECONLP 2021 and LREC 2022, focusing on commodity news event extraction and crude oil market prediction. Her research excellence was recognized with the Monash Post-graduate Merit Scholarship and first place in the Three Minute Thesis competition. She also holds master's degrees in Computational Logic from Technische Universität Wien and Libera Università di Bolzano, earned through the prestigious Erasmus Mundus Scholarship. As an AI Research Fellow at Monash University, Dr. Lee demonstrated exceptional technical leadership, designing Human-in-loop AI solutions and implementing practical AI applications across cross-faculty teams. Her work spans text-based forecasting for commodity prices, customizing and adapting LLMs like Llama3 to finance domains, building RAG ChatBot applications, and developing audio-based intelligence tools. This hands-on experience with state-of-the-art AI technologies makes her uniquely qualified to train professionals in real-world AI implementation. Dr. Lee's extensive business background includes 10 years at Shell, where she served as Business Analyst and IT Project Manager, successfully delivering complex projects including retail IT network outsourcing, PCI-DSS compliance, and site expansion initiatives. She holds a Project Management Professional (PMP) certification and has completed specialized certifications in Deep Learning, Machine Learning, and Business Analysis. This combination of technical depth and business acumen enables her to bridge the gap between theoretical AI concepts and practical business applications. Beyond her professional achievements, Dr. Lee is deeply committed to diversity and inclusion in AI, serving as Treasurer of Women in AI Malaysia since 2019. She is multilingual, speaking English, Mandarin, Cantonese, Malay, and Chinese, allowing her to connect with diverse audiences. Her passion for knowledge sharing, combined with her research publications and award-winning presentation skills, makes her an exceptional trainer capable of delivering complex AI and machine learning concepts in accessible, practical ways.
6 Courses
English
17 Years

Instructor

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Dr. Esther Suria Kala ICT & Cybersecurity Training Expert
Trainer Profile
Trainer Profile
TTT Certificate
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.

226 Courses
English, Malay, Hindi, German, Tamil
30 Years

Instructor

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Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist
Trainer Profile
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.
122 Courses
English
9 Years

Instructor

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Mohammed Al-obaydee AI & Data Science Expert
Trainer Profile
Trainer Profile
TTT Certificate
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.
114 Courses
English
21 Years

Instructor

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Uzair Aslam Senior Data Scientist & ML Expert
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
TTT Accreditation
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

Instructor

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Koong Wah Yan Wayne AI Transformation Specialist
Trainer Profile
Trainer Profile
TTT Accreditation
TTT Accreditation
Ts. Koong Wah Yan (Wayne) is a distinguished Technology Executive and AI Transformation Specialist with over 25 years of pioneering experience in digital innovation across FinTech, AdTech, and Public Sectors. As a certified AI Governance Professional and seasoned technology leader, Wayne combines deep technical expertise in artificial intelligence, data science, and enterprise architecture with proven leadership capabilities in delivering mission-critical systems and establishing robust AI governance frameworks. Wayne's extensive industrial profile includes executive roles as Head of R&D at Innity Bhd, CIO and Software Development Manager at Wiseyes Group, Head of IT Operations at SOCSO, Data Migration Lead at MIMOS, and CRM Architect for prestigious organizations including IBM, MBB, and CIMB. His academic credentials include an MBA from University of South Australia, a Bachelor of Information Technology from Universiti Kebangsaan Malaysia, and specialized certifications in AI Governance (IAPP), Data Science (HarvardX), ISO27001 Lead Implementation, and ITIL Foundation. As a professional trainer, Wayne has delivered transformative learning experiences to over 500 professionals across diverse organizations. His training portfolio spans Machine Learning in Python workshops for engineers, Generative AI application sessions, Object-Oriented Programming training for Fortune 500 companies, and Business Intelligence tools training. Wayne's unique methodology combines Interactive Learning, Practical Application, and Business Context, creating immersive experiences with real-world case studies and hands-on exercises that consistently achieve 90%+ participant satisfaction rates. Wayne specializes in Digital Transformation with AI, GenAI, ML & Data Science training programs tailored for technical teams, management, and general audiences. His expertise extends to tools-specific training including PowerPoint with AI, Metabase, Google Looker Studio, and SQL for MySQL. Wayne's rare ability to bridge advanced technical concepts with strategic business implementation makes him an invaluable trainer for organizations seeking to accelerate their AI transformation journey while establishing responsible AI governance frameworks.
55 Courses
English, Chinese, Malay
29 Years

Course Reviews

"I learned a great deal as I am a beginner to AI and Data Science!"

"Great course. Worth every minute you spend."

"The course was very helpful to my understanding of the general principles around AI and Machine Learning!"

"Excellent course on AI from an experienced and thoughtful practitioner!"

Instructor Reviews

ML

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

Why should you attend?

Embark on a comprehensive journey through the realm of Artificial Intelligence (AI), exploring its fundamental concepts, theoretical underpinnings, and practical applications. This course delves into the diverse AI landscape, tracing its evolution from historical milestones to current advancements. Gain insights into the characteristics, advantages, and limitations of AI systems, setting the stage for deeper engagement with the subject. Understand core principles such as agents and their environments, algorithmic frameworks including neural networks, and the integral role of linear algebra and statistics in AI development. Discover how recent developments like Big Data, cloud computing, and mobile technology are reshaping AI's impact on various industries. Grasp the significance of machine learning and deep learning through hands-on exploration of image and speech recognition, search optimization, data pattern recognition, and more. The course also covers Natural Language Processing (NLP) techniques for information retrieval, syntactic analysis, and language translation. Reinforcement learning is demystified with a focus on both passive and active approaches. Model creation and validation are addressed through predictive analytics and clustering methods using tools like R and Python. Perception modules investigate vision perception and image processing operations while neural network sessions examine different architectures and learning processes. Data visualization is emphasized to enhance exploratory analysis and communication of findings using tools like Tableau and D3. Real-world applications in business contexts showcase how AI can optimize processes such as logistics, customer service, invoice processing, while use cases span healthcare to finance sectors. The course concludes by guiding learners through initiating an AI strategy within their organizations—aligning ambitions with business goals, assessing maturity levels, developing road maps, prototyping AI solutions while avoiding pitfalls like data bias.


What you'll learn

  • Master data visualization for effective communication of insights.
  • Explore algorithms, neural networks, machine learning (ML), deep learning (DL), NLP.
  • Develop strategic plans for integrating AI within an organization.
  • Acquire skills in model creation/validation using statistical methods.
  • Prototype AI solutions considering ethical implications.
  • Learn about agents' structures in AI environments.
  • Understand the fundamental concepts and history of Artificial Intelligence.
  • Apply AI techniques to real-world business scenarios.

Course Syllabus

Day 1 - AI Fundamentals and History
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 - AI Theory and Agents
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
Day 3 - Machine Learning Essentials
Module 17
Module 18
Short Break
15 mins
Module 19
Module 20
Recap and Q&A
15 mins
Lunch
1 hour
Module 21
Module 22
Short Break
15 mins
Module 23
Module 24
Recap and Q&A
15 mins
End of Day 3
Day 4 - Natural Language Processing
Module 25
Module 26
Short Break
15 mins
Module 27
Module 28
Recap and Q&A
15 mins
Lunch
1 hour
Module 29
Module 30
Short Break
15 mins
Module 31
Module 32
Recap and Q&A
15 mins
End of Day 4
Day 5 - Neural Networks and Visualization
Module 33
Module 34
Short Break
15 mins
Module 35
Module 36
Recap and Q&A
15 mins
Lunch
1 hour
Module 37
Module 38
Short Break
15 mins
Module 39
Module 40
Recap and Q&A
15 mins
End of Day 5
Day 6 - AI Business Applications
Module 41
Module 42
Short Break
15 mins
Module 43
Module 44
Recap and Q&A
15 mins
Lunch
1 hour
Module 45
Module 46
Short Break
15 mins
Module 47
Module 48
Recap and Q&A
15 mins
End of Day 6

Course Reviews

"I learned a great deal as I am a beginner to AI and Data Science!"

"Great course. Worth every minute you spend."

"The course was very helpful to my understanding of the general principles around AI and Machine Learning!"

"Excellent course on AI from an experienced and thoughtful practitioner!"


Instructor Reviews

ML

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."

We price match

Public Pricing

MYR 10500

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 39000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2800/day
Material Fees: MYR 600
Total Fees: MYR 17400 ++

Certification

Azul Certified AI Specialist
Azul Certified AI Specialist
Azul
Validity: 2 years

Features

6 days
48 modules
English
Technical: 25 pax

Target Audience

students
engineers

Methodologies

lecture
slides
labs
case studies
group discussion
q&A

Subsidies

HRDC Claimable logo

Instructors

Loading...
Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer
Trainer Profile
Trainer Profile
TTT Certificate
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
101 Courses
18 Years
Loading...
Nasruddin Bin Sultan Certified Professional Trainer
Trainer Profile
Trainer Profile
TTT Accreditation
TTT Accreditation
Nasruddin Bin Sultan is a certified professional trainer with a proven track record in delivering high-quality technical and professional training programs. With his certification valid through 2027, he demonstrates a commitment to maintaining current industry standards and best practices in training delivery. As a registered trainer with comprehensive credentials, Nasruddin brings a structured and methodical approach to skills development and knowledge transfer. His certification reflects his dedication to professional excellence and his ability to meet the rigorous standards required in the training industry. He is equipped to design and deliver engaging learning experiences that cater to diverse learning styles and professional backgrounds. Nasruddin's expertise lies in creating effective learning environments that facilitate knowledge retention and practical application. His approach to training emphasizes hands-on learning, real-world scenarios, and interactive methodologies that ensure participants can immediately apply their newly acquired skills in their professional roles. He understands the importance of aligning training content with organizational objectives and individual career development goals. Throughout his career, Nasruddin has demonstrated the ability to adapt training materials and delivery methods to suit various audience levels, from beginners to advanced practitioners. His certification validates his competency in instructional design, training delivery, assessment methodologies, and continuous improvement practices. He maintains a learner-centric philosophy, ensuring that each training session is tailored to maximize engagement and learning outcomes. Nasruddin's professional credentials underscore his commitment to excellence in the training field. He stays current with evolving industry trends, training technologies, and pedagogical approaches to ensure his training programs remain relevant and impactful. His ability to connect with learners, simplify complex concepts, and foster collaborative learning environments makes him a valuable asset for organizations seeking to upskill their workforce and achieve their strategic training objectives.
5 Courses
English, Malay
10 Years
Loading...
Dr. Meisin Lee AI Research Fellow & Data Science Expert
Trainer Profile
Trainer Profile
Dr. Meisin Lee is a distinguished AI Research Fellow and AI Scientist with specialized expertise in Speech AI, Generative AI, and Large Language Models (LLMs), particularly within the finance domain. Currently serving as an AI Scientist at Maybank since August 2024, she brings a unique combination of cutting-edge AI research capabilities and over 10 years of business IT experience to her training and consulting work. Dr. Lee's academic credentials are exceptional, holding a PhD from Monash University where her research focused on Machine Learning, Deep Learning, and Natural Language Processing. During her doctoral studies, she published multiple papers in prestigious conferences including ECONLP 2021 and LREC 2022, focusing on commodity news event extraction and crude oil market prediction. Her research excellence was recognized with the Monash Post-graduate Merit Scholarship and first place in the Three Minute Thesis competition. She also holds master's degrees in Computational Logic from Technische Universität Wien and Libera Università di Bolzano, earned through the prestigious Erasmus Mundus Scholarship. As an AI Research Fellow at Monash University, Dr. Lee demonstrated exceptional technical leadership, designing Human-in-loop AI solutions and implementing practical AI applications across cross-faculty teams. Her work spans text-based forecasting for commodity prices, customizing and adapting LLMs like Llama3 to finance domains, building RAG ChatBot applications, and developing audio-based intelligence tools. This hands-on experience with state-of-the-art AI technologies makes her uniquely qualified to train professionals in real-world AI implementation. Dr. Lee's extensive business background includes 10 years at Shell, where she served as Business Analyst and IT Project Manager, successfully delivering complex projects including retail IT network outsourcing, PCI-DSS compliance, and site expansion initiatives. She holds a Project Management Professional (PMP) certification and has completed specialized certifications in Deep Learning, Machine Learning, and Business Analysis. This combination of technical depth and business acumen enables her to bridge the gap between theoretical AI concepts and practical business applications. Beyond her professional achievements, Dr. Lee is deeply committed to diversity and inclusion in AI, serving as Treasurer of Women in AI Malaysia since 2019. She is multilingual, speaking English, Mandarin, Cantonese, Malay, and Chinese, allowing her to connect with diverse audiences. Her passion for knowledge sharing, combined with her research publications and award-winning presentation skills, makes her an exceptional trainer capable of delivering complex AI and machine learning concepts in accessible, practical ways.
6 Courses
English
17 Years
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Dr. Esther Suria Kala ICT & Cybersecurity Training Expert
Trainer Profile
Trainer Profile
TTT Certificate
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.

226 Courses
English, Malay, Hindi, German, Tamil
30 Years
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Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist
Trainer Profile
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.
122 Courses
English
9 Years
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Mohammed Al-obaydee AI & Data Science Expert
Trainer Profile
Trainer Profile
TTT Certificate
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.
114 Courses
English
21 Years
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Uzair Aslam Senior Data Scientist & ML Expert
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
TTT Accreditation
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
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Koong Wah Yan Wayne AI Transformation Specialist
Trainer Profile
Trainer Profile
TTT Accreditation
TTT Accreditation
Ts. Koong Wah Yan (Wayne) is a distinguished Technology Executive and AI Transformation Specialist with over 25 years of pioneering experience in digital innovation across FinTech, AdTech, and Public Sectors. As a certified AI Governance Professional and seasoned technology leader, Wayne combines deep technical expertise in artificial intelligence, data science, and enterprise architecture with proven leadership capabilities in delivering mission-critical systems and establishing robust AI governance frameworks. Wayne's extensive industrial profile includes executive roles as Head of R&D at Innity Bhd, CIO and Software Development Manager at Wiseyes Group, Head of IT Operations at SOCSO, Data Migration Lead at MIMOS, and CRM Architect for prestigious organizations including IBM, MBB, and CIMB. His academic credentials include an MBA from University of South Australia, a Bachelor of Information Technology from Universiti Kebangsaan Malaysia, and specialized certifications in AI Governance (IAPP), Data Science (HarvardX), ISO27001 Lead Implementation, and ITIL Foundation. As a professional trainer, Wayne has delivered transformative learning experiences to over 500 professionals across diverse organizations. His training portfolio spans Machine Learning in Python workshops for engineers, Generative AI application sessions, Object-Oriented Programming training for Fortune 500 companies, and Business Intelligence tools training. Wayne's unique methodology combines Interactive Learning, Practical Application, and Business Context, creating immersive experiences with real-world case studies and hands-on exercises that consistently achieve 90%+ participant satisfaction rates. Wayne specializes in Digital Transformation with AI, GenAI, ML & Data Science training programs tailored for technical teams, management, and general audiences. His expertise extends to tools-specific training including PowerPoint with AI, Metabase, Google Looker Studio, and SQL for MySQL. Wayne's rare ability to bridge advanced technical concepts with strategic business implementation makes him an invaluable trainer for organizations seeking to accelerate their AI transformation journey while establishing responsible AI governance frameworks.
55 Courses
English, Chinese, Malay
29 Years

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