Business Automation with Large Language Models Training Course

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.

Eric Wong Mun Seng is an accomplished accredited trainer and digital transformation leader based in Kuala Lumpur, Malaysia, who brings a unique blend of technical expertise and human-centric learning approaches to his training programs. With a dynamic career evolution from IT support to digital transformation leadership, Eric has developed exceptional capabilities in bridging complex technical concepts with accessible, practical learning experiences that drive measurable organizational results. Eric's training philosophy centers on combining technical expertise with emotional intelligence, enabling participants to not just learn but truly internalize and apply new concepts in their professional environments. He specializes in innovation and future-readiness training, with a particular focus on building 'antifragile' capabilities within organizations. His approach creates safe spaces for experimentation and learning through effective conflict resolution, while adapting training methodologies to accommodate diverse learning styles and organizational needs. Throughout his career, Eric has achieved significant milestones that demonstrate his practical expertise. He successfully led the digital transformation of retail operations, transitioning from traditional counter service to mobile/iPad-based systems, resulting in improved customer satisfaction and reduced transaction times. His innovation capabilities are evidenced by multiple hackathon victories, and he has developed and delivered technical selling programs that consistently empower participants to achieve their targets. Eric has also facilitated design thinking workshops that have led to implementable solutions for real business challenges. As a recognized thought leader, Eric serves as an Advocate for Better Value Sooner Safer Happier (BVSSH) and has been a featured speaker at the People & Culture Conference 2024, Agile Day Malaysia 2023, and as a podcast guest on business agility topics. His comprehensive certification portfolio and ability to deliver training for both small groups and large audiences make him a versatile and effective trainer. Eric's key training programs span corporate innovation, Agile and Lean methodologies, career resilience, systems thinking, entrepreneurship, and video marketing. He enhances learning outcomes through pre and post MCQ assessments, visual aids, e-certificates, and limited-time online coaching support, ensuring participants receive comprehensive support throughout their learning journey.

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.