AI Workflow Optimization and Intelligent Assistant Design

Master cutting-edge AI workflow optimization and intelligent assistant design under the guidance of industry experts. Enroll in our comprehensive training program tailored specifically for professionals seeking to transform business processes through artificial intelligence implementation for a thorough skill set in automation, prompt engineering, and responsible AI deployment.

Face-to-Face Nov 12-13, 2026 9:00 AM - 5:00 PM Habil Hadi Mohammed
updated
beginner
AI Workflow Optimization and Intelligent Assistant Design
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
8 intakes
Full life-time access
English
Technical: 25 pax

Target Audience

students
managers
executives

Methodologies

lecture
slides
labs
case studies
group discussion
q&A

Subsidies

HRDC Claimable logo

What you'll learn

  • Map and analyze business workflows for AI automation opportunities
  • Create human-in-the-loop automation workflows with approval mechanisms
  • Design and implement custom GPT assistants with advanced prompting techniques
  • Build knowledge-base retrieval systems using vector databases and RAG
  • Deploy and scale AI solutions using DevOps practices and governance models
  • Integrate AI solutions with existing business applications and platforms
  • Develop ROI measurement frameworks and change management strategies
  • Implement responsible AI practices including bias reduction and risk controls

Why should you attend?

This comprehensive training program guides participants through the complete lifecycle of implementing AI-powered workflow optimization and intelligent assistant design. Beginning with foundational concepts, learners explore process mining and value-stream mapping to identify AI-ready opportunities using impact versus feasibility matrices. The curriculum progresses through essential prompt engineering techniques, covering persona development, interview patterns, and chain-of-thought methodologies while providing hands-on experience with leading platforms including GPT, Copilot, and Gemini. Participants gain practical expertise in designing AI-enhanced process flows using trigger-action-decision frameworks and Retrieval-Augmented Generation (RAG) systems. The program emphasizes real-world application through custom GPT development, multimodal prompting techniques, and deep integration with business applications like Salesforce and Jira. Advanced topics include knowledge-base retrieval using vector stores, human-in-the-loop automation patterns, and secure scaling practices with DevOps integration. The training culminates with comprehensive coverage of responsible AI practices, risk controls, and change management strategies. Participants learn to measure success through ROI analysis, implement bias reduction methods, and build sustainable adoption frameworks. The capstone project requires teams to design, build, and present complete workflow assistants, demonstrating mastery of technical implementation alongside business value proposition development.

Course Syllabus

Day 1 - AI Workflow Foundations
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 - Advanced Integration & Scaling
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

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.
120 Courses
English
9 Years

Instructor

Loading...
Faysal Aziz AI & Technology Transformation Expert
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
TTT Accreditation
TTT Accreditation
Faysal Aziz is a globally recognized technology leader, enterprise architect, and professional trainer with over 30 years of hands-on experience spanning artificial intelligence, cybersecurity, DevOps, software engineering, cloud platforms, blockchain, and digital transformation. Based in Kuala Lumpur, he has delivered more than 10,000 training hours across 11 countries, been recognized as Best Trainer on over 13 occasions, and successfully led more than 32 major project implementations for governments, Fortune 500 corporations, financial institutions, and technology organizations worldwide. As Founder and CTO of Lutuk Technologies, Faysal leads one of Malaysia's most innovative AI consulting firms, pioneering the Agentic AI Automation (AAA) framework that helps organizations embed adaptive intelligence and responsible governance into their operations. His consulting portfolio includes securing over RM 50 million in government grants, architecting enterprise AI platforms for financial institutions and microchip manufacturers, and developing Asia's first blockchain-based real estate investment portal. His work has earned him prestigious accolades including the Frost & Sullivan Excellence Award, Intel Excellence Award, and a BBC exclusive interview. As a professional trainer, Faysal has developed and delivered over 540 distinct courses covering the full spectrum of modern technology — from generative AI, agentic systems, and LLM fine-tuning to cybersecurity, DevOps, data science, mobile development, and enterprise platforms. His client roster includes Bank Negara Malaysia, PETRONAS, Maybank, CIMB, HSBC, Genting, AstraZeneca, and multiple Malaysian government ministries. He holds a Master's in Computing, a BSc in Computing, and advanced certifications in AI, cybersecurity, big data, and blockchain. What distinguishes Faysal as a trainer is his deeply practical, systems-thinking philosophy. Rather than teaching isolated tools, he equips participants with the ability to orchestrate multiple technologies to solve complex, real-world business challenges. His sessions are consistently praised for their clarity, technical depth, and immediate applicability. Testimonials from senior professionals across banking, engineering, and technology sectors highlight his rare ability to simplify advanced concepts without sacrificing rigor, and his genuine passion for empowering learners at every level. Organizations seeking a trainer who combines decades of active industry experience, a proven track record of enterprise delivery, and an engaging, outcome-focused teaching style will find in Faysal Aziz an exceptional partner for technical upskilling, AI transformation, and digital capability development.
12 Courses
English
30 Years

FAQ

Frequently Asked Questions About This Course

Why should you attend?

This comprehensive training program guides participants through the complete lifecycle of implementing AI-powered workflow optimization and intelligent assistant design. Beginning with foundational concepts, learners explore process mining and value-stream mapping to identify AI-ready opportunities using impact versus feasibility matrices. The curriculum progresses through essential prompt engineering techniques, covering persona development, interview patterns, and chain-of-thought methodologies while providing hands-on experience with leading platforms including GPT, Copilot, and Gemini. Participants gain practical expertise in designing AI-enhanced process flows using trigger-action-decision frameworks and Retrieval-Augmented Generation (RAG) systems. The program emphasizes real-world application through custom GPT development, multimodal prompting techniques, and deep integration with business applications like Salesforce and Jira. Advanced topics include knowledge-base retrieval using vector stores, human-in-the-loop automation patterns, and secure scaling practices with DevOps integration. The training culminates with comprehensive coverage of responsible AI practices, risk controls, and change management strategies. Participants learn to measure success through ROI analysis, implement bias reduction methods, and build sustainable adoption frameworks. The capstone project requires teams to design, build, and present complete workflow assistants, demonstrating mastery of technical implementation alongside business value proposition development.


What you'll learn

  • Map and analyze business workflows for AI automation opportunities
  • Create human-in-the-loop automation workflows with approval mechanisms
  • Design and implement custom GPT assistants with advanced prompting techniques
  • Build knowledge-base retrieval systems using vector databases and RAG
  • Deploy and scale AI solutions using DevOps practices and governance models
  • Integrate AI solutions with existing business applications and platforms
  • Develop ROI measurement frameworks and change management strategies
  • Implement responsible AI practices including bias reduction and risk controls

Course Syllabus

Day 1 - AI Workflow Foundations
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 - Advanced Integration & Scaling
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
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
8 intakes
Full life-time access
English
Technical: 25 pax

Target Audience

students
managers
executives

Methodologies

lecture
slides
labs
case studies
group discussion
q&A

Subsidies

HRDC Claimable logo

Instructors

Loading...
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.
120 Courses
English
9 Years
Loading...
Faysal Aziz AI & Technology Transformation Expert
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
TTT Accreditation
TTT Accreditation
Faysal Aziz is a globally recognized technology leader, enterprise architect, and professional trainer with over 30 years of hands-on experience spanning artificial intelligence, cybersecurity, DevOps, software engineering, cloud platforms, blockchain, and digital transformation. Based in Kuala Lumpur, he has delivered more than 10,000 training hours across 11 countries, been recognized as Best Trainer on over 13 occasions, and successfully led more than 32 major project implementations for governments, Fortune 500 corporations, financial institutions, and technology organizations worldwide. As Founder and CTO of Lutuk Technologies, Faysal leads one of Malaysia's most innovative AI consulting firms, pioneering the Agentic AI Automation (AAA) framework that helps organizations embed adaptive intelligence and responsible governance into their operations. His consulting portfolio includes securing over RM 50 million in government grants, architecting enterprise AI platforms for financial institutions and microchip manufacturers, and developing Asia's first blockchain-based real estate investment portal. His work has earned him prestigious accolades including the Frost & Sullivan Excellence Award, Intel Excellence Award, and a BBC exclusive interview. As a professional trainer, Faysal has developed and delivered over 540 distinct courses covering the full spectrum of modern technology — from generative AI, agentic systems, and LLM fine-tuning to cybersecurity, DevOps, data science, mobile development, and enterprise platforms. His client roster includes Bank Negara Malaysia, PETRONAS, Maybank, CIMB, HSBC, Genting, AstraZeneca, and multiple Malaysian government ministries. He holds a Master's in Computing, a BSc in Computing, and advanced certifications in AI, cybersecurity, big data, and blockchain. What distinguishes Faysal as a trainer is his deeply practical, systems-thinking philosophy. Rather than teaching isolated tools, he equips participants with the ability to orchestrate multiple technologies to solve complex, real-world business challenges. His sessions are consistently praised for their clarity, technical depth, and immediate applicability. Testimonials from senior professionals across banking, engineering, and technology sectors highlight his rare ability to simplify advanced concepts without sacrificing rigor, and his genuine passion for empowering learners at every level. Organizations seeking a trainer who combines decades of active industry experience, a proven track record of enterprise delivery, and an engaging, outcome-focused teaching style will find in Faysal Aziz an exceptional partner for technical upskilling, AI transformation, and digital capability development.
12 Courses
English
30 Years

FAQ

Frequently Asked Questions About This Course

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