ChatGPT Prompt Engineering for Researchers - Master AI Research Tools

Master the art of Prompt Engineering with our cutting-edge course designed for researchers. Learn to harness the power of ChatGPT for your research endeavors through expert strategies in crafting prompts and role-based questioning. Elevate your research methodology with tailored interactive practices.

Face-to-Face Jul 27, 2026 9:00 AM - 12:00 PM Mohammed Al-obaydee
updated
beginner
ChatGPT Prompt Engineering for Researchers

Public Pricing

MYR 200

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day
Material Fees: MYR 400
Total Fees: MYR 1450 ++

Features

3 hours
3 modules
21 intakes
5 enrolled
Full life-time access
English, 中文(简体)
Technical: 25 pax

Target Audience

students

Methodologies

slides
labs
case studies
group discussion
q&A

Subsidies

HRDC Claimable logo

What you'll learn

  • Apply Role-Based prompting strategies to obtain precise information from ChatGPT.
  • Learn the fundamentals of Prompt Engineering and GPT architecture.
  • Develop skills in creating effective prompts for improved interaction with language models.
  • Craft personalized prompts applicable to specific research topics.
  • Explore advanced prompting techniques like Role-Based and Chain-of-Thought prompting.
  • Engage in interactive practice sessions to refine prompt engineering skills.
  • Understand the capabilities and applications of ChatGPT in research contexts.
  • Grasp basic principles of Natural Language Processing relevant to prompt crafting.

Why should you attend?

Discover the transformative potential of ChatGPT in the realm of research with a focus on Prompt Engineering. This course delves into the foundational aspects of ChatGPT, including its diverse applications and the underlying principles of Natural Language Processing that make it an invaluable tool for researchers. Participants will learn about the GPT architecture and how to craft effective prompts to communicate with the model more effectively. The course then progresses to advanced techniques such as Role-Based and Chain-of-Thought prompting, which provide structured methods for eliciting more targeted responses from ChatGPT. Through interactive practice sessions, researchers will gain hands-on experience in using ChatGPT for literature reviews and developing tailored prompts for their specific research needs. The curriculum is designed not only to impart theoretical knowledge but also to offer practical skills that can be immediately applied to current research projects, thereby enhancing the quality and efficiency of scholarly work.

Course Syllabus

Module 1
Overview of ChatGPT and its applications
Fundamentals of Prompt Engineering
Basic Principles of Natural Language Processing
Introduction to GPT Architecture
Crafting Effective Prompts
Context and Context Length
Module 2
Short Break
15 mins
Module 3
Recap and Q&A
15 mins

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
104 Courses
18 Years

Instructor

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

Instructor

Loading...
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.

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

Instructor

Loading...
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.
113 Courses
English
21 Years

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?

Discover the transformative potential of ChatGPT in the realm of research with a focus on Prompt Engineering. This course delves into the foundational aspects of ChatGPT, including its diverse applications and the underlying principles of Natural Language Processing that make it an invaluable tool for researchers. Participants will learn about the GPT architecture and how to craft effective prompts to communicate with the model more effectively. The course then progresses to advanced techniques such as Role-Based and Chain-of-Thought prompting, which provide structured methods for eliciting more targeted responses from ChatGPT. Through interactive practice sessions, researchers will gain hands-on experience in using ChatGPT for literature reviews and developing tailored prompts for their specific research needs. The curriculum is designed not only to impart theoretical knowledge but also to offer practical skills that can be immediately applied to current research projects, thereby enhancing the quality and efficiency of scholarly work.


What you'll learn

  • Apply Role-Based prompting strategies to obtain precise information from ChatGPT.
  • Learn the fundamentals of Prompt Engineering and GPT architecture.
  • Develop skills in creating effective prompts for improved interaction with language models.
  • Craft personalized prompts applicable to specific research topics.
  • Explore advanced prompting techniques like Role-Based and Chain-of-Thought prompting.
  • Engage in interactive practice sessions to refine prompt engineering skills.
  • Understand the capabilities and applications of ChatGPT in research contexts.
  • Grasp basic principles of Natural Language Processing relevant to prompt crafting.

Course Syllabus

Module 1
Overview of ChatGPT and its applications
Fundamentals of Prompt Engineering
Basic Principles of Natural Language Processing
Introduction to GPT Architecture
Crafting Effective Prompts
Context and Context Length
Module 2
Short Break
15 mins
Module 3
Recap and Q&A
15 mins

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."

Public Pricing

MYR 200

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day
Material Fees: MYR 400
Total Fees: MYR 1450 ++

Features

3 hours
3 modules
21 intakes
5 enrolled
Full life-time access
English, 中文(简体)
Technical: 25 pax

Target Audience

students

Methodologies

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
104 Courses
18 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
Loading...
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.

225 Courses
English, Malay, Hindi, German, Tamil
30 Years
Loading...
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.
113 Courses
English
21 Years

FAQ

Frequently Asked Questions About This Course

Close menu