AEF676

AI Essentials for Non-Technical Professionals

Q: Do I need technical or programming experience to take this course?

No, this course is specifically designed for non-technical professionals . You don't need any programming skills, technical background, or prior AI experience. The course presents AI concepts in accessible, business-focused terms that anyone can understand, making it perfect for managers, executives, and business professionals who want to leverage AI without becoming technical experts.

Q: What will I be able to do after completing this course?

After completing this 2-day course, you'll be able to identify high-value AI opportunities within your organization, utilize Generative AI tools and prompt engineering techniques for business tasks, collaborate effectively with technical teams and evaluate AI vendors, apply responsible AI principles including ethics and governance, and develop strategic AI implementation roadmaps for your business functions. You'll gain the confidence to drive AI initiatives and make informed decisions about AI adoption.

Q: What types of AI will be covered in this course?

The course provides comprehensive coverage of various AI types used in modern business, including Predictive AI, Generative AI, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and recommendation systems . You'll learn the differences between these AI types and understand their practical applications across operations, marketing, sales, finance, HR, and customer experience.

Q: Will I get hands-on experience with AI tools?

Yes! The course includes practical modules on Generative AI and prompt engineering where you'll gain hands-on experience with modern AI tools. You'll learn how to effectively use these tools for business tasks and develop skills in crafting effective prompts to get the best results from AI systems. This practical component complements the conceptual learning to ensure you can immediately apply what you've learned.

Q: Who should attend this course?

This course is ideal for business professionals, managers, and executives who want to understand and leverage AI in their organizations without needing technical expertise. It's perfect for professionals in operations, marketing, sales, finance, HR, customer experience, and other business functions who need to make informed decisions about AI adoption, identify AI opportunities, or collaborate with technical teams on AI projects.

Q: Does this course cover AI ethics and responsible AI practices?

Absolutely. The course places strong emphasis on responsible AI adoption , covering critical topics including data governance, bias and fairness, transparency, ethical decision-making, AI risks, compliance requirements, and governance frameworks. You'll learn how to implement AI sustainably and ethically, ensuring your organization's AI initiatives are responsible, compliant, and aligned with best practices.

Q: Will I receive a certification upon completing this course?

This course does not include a formal certification. However, you will gain comprehensive knowledge and practical skills in AI essentials for business, including hands-on experience with Generative AI tools, strategic planning capabilities, and the ability to develop AI implementation roadmaps—all of which will significantly enhance your professional capabilities in the rapidly growing field of AI.

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 business applications of Artificial Intelligence with confidence and strategic insight. Enroll in our expertly designed program that transforms non-technical professionals into AI-savvy decision-makers. This course delivers practical knowledge on AI fundamentals, implementation strategies, ethical considerations, and hands-on experience with Generative AI tools, empowering you to identify opportunities, collaborate with technical teams, and drive successful AI initiatives in your organization.

Available in:
Malaysia

Face-to-Face Feb 9-10, 2026 9:00 AM - 5:00 PM Tarun Sukhani

Created: January 2nd 2026, 4:20 AM MYT Last Modified: February 2nd 2026, 6:00 AM MYT

updated

beginner

AI Essentials for Non-Technical Professionals

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 2400/day

Material Fees: MYR 400

Total Fees: MYR 5200 ++

Features

2 days

16 modules

54 intakes

Full life-time access

English

Technical: 25 pax

Target Audience

engineers

managers

executives

Methodologies

lecture

slides

case studies

group discussion

q&A

Subsidies

What you'll learn

Utilize Generative AI tools and prompt engineering techniques for business tasks
Apply responsible AI principles including ethics, bias mitigation, and governance
Collaborate effectively with technical teams and evaluate AI vendor solutions
Identify high-value AI opportunities aligned with organizational goals and needs
Explain core AI concepts and distinguish between AI types used in business contexts
Develop strategic AI implementation roadmaps for non-technical business functions

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

98 Courses

18 Years

( 3 ratings )

100%

( 3 reviews )

Instructor

Dr. Meisin Lee AI Research Fellow & Data Science Expert

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

( 0 ratings )

( 0 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.

228 Courses

English, Malay, Hindi, German, Tamil

30 Years

( 0 ratings )

( 0 reviews )

Instructor

Pradeep Singh Naulia AI & Data Science Leader

Trainer Profile

TTT Certificate

Pradeep Singh Naulia is a distinguished leader in the AI and data science arena with over two decades of professional experience spanning multiple industries and geographies. As a Chief Technology Officer and Co-Founder, he currently leads cutting-edge AI initiatives focused on agentic LLM platforms, embedded AI, and IoT solutions. His expertise encompasses the full spectrum of AI technologies, from computer vision and NLP to GenAI, transformers, and neural network optimization. With a recently completed Ph.D. in alternative methods to optimize Neural Networks from UTP Malaysia, Pradeep combines deep academic rigor with practical industry experience. He holds prestigious certifications including Certified Analytics Professional (CAP) from INFORMS, AWS and Azure Certified Data Scientist, PMP, and Master Black Belt (MBB). His research contributions are notable, with multiple IEEE and MDPI publications, best paper awards, and a patent application for agentic LLM optimization of deep neural networks. He serves as a journal reviewer for Springer Nature, IEEE, and MDPI, demonstrating his thought leadership in the field. Pradeep's professional journey showcases remarkable versatility across sectors including Oil & Gas, FMCG, Telecom, Financial Services, and Manufacturing. At Petronas, he pioneered the largest Advanced Driver Assistance System (ADAS) using NVIDIA and AWS IoT technologies. During his tenure at BAT Malaysia, he led end-to-end AI projects from data ingestion to cloud deployment, delivering high-impact solutions like Smart Credit Risk analytics. His 13-year career at Hewlett Packard saw him drive transformational projects across supply chain management, achieving multi-million-dollar savings and training over 200 employees in analytics and statistical tools. As a trainer and educator, Pradeep has successfully conducted a 10-week Data Science Bootcamp, training and certifying over 300 data scientists. His teaching approach combines theoretical foundations with hands-on practical applications, drawing from his extensive experience implementing AI solutions across Australia, Brazil, China, India, Malaysia, Philippines, Singapore, Taiwan, and the USA. His ability to translate complex AI concepts into actionable insights makes him an exceptional instructor for professionals seeking to advance their skills in machine learning, deep learning, cloud AI platforms, and data science methodologies.

53 Courses

English

23 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.

114 Courses

English

21 Years

( 0 ratings )

( 0 reviews )

Instructor

Koong Wah Yan Wayne AI Transformation Specialist

Trainer Profile

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

( 0 ratings )

( 0 reviews )

Instructor Reviews

Mohammad Mehdi Lotfinejad

Chief Data Officer & Data Science Trainer

"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."

"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."

"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."

FAQ

Frequently Asked Questions About This Course

Do I need technical or programming experience to take this course?

What will I be able to do after completing this course?

What types of AI will be covered in this course?

Will I get hands-on experience with AI tools?

Who should attend this course?

Does this course cover AI ethics and responsible AI practices?

Will I receive a certification upon completing this course?

Where is the training conducted?

Can international participants join this course?

What is the difference between public, corporate, and training provider pricing?

Do I have to pay right away?

I just enrolled in an intake. Does that mean I can attend the course on that date?

What happens if quorum for an intake is not reached?

Why should you attend?

What you'll learn

Utilize Generative AI tools and prompt engineering techniques for business tasks
Apply responsible AI principles including ethics, bias mitigation, and governance
Collaborate effectively with technical teams and evaluate AI vendor solutions
Identify high-value AI opportunities aligned with organizational goals and needs
Explain core AI concepts and distinguish between AI types used in business contexts
Develop strategic AI implementation roadmaps for non-technical business functions

End of Day 2