AAI324

AI and IoT for Startups: Complete Technology Training Course

Q: What will I learn in this AI and IoT for Startups course?

You will gain comprehensive knowledge of both AI and IoT fundamentals, including IoT architecture, sensors, communication protocols, and hardware platforms like Raspberry Pi and Arduino. The course covers machine learning techniques such as image recognition, speech processing, and NLP, plus practical skills in securing IoT platforms. You'll also analyze real-world case studies in home automation, logistics, and smart metering, culminating in brainstorming sessions to identify IoT opportunities for your startup.

Q: What are the prerequisites for this course?

This is a beginner-level course designed for students, entry-level professionals, and engineers with an undergraduate qualification. No prior experience with AI or IoT is required, though basic technical understanding and familiarity with technology concepts would be helpful to maximize your learning experience.

Q: How long is the course and what teaching methods are used?

The course is 2 days long and uses a variety of engaging teaching methodologies including lectures, slide presentations, hands-on labs, case study analysis, and group discussions. This mixed approach ensures both theoretical understanding and practical application of AI and IoT concepts.

Q: Will I get hands-on experience with IoT hardware and platforms?

Yes, the course includes extensive hands-on components. You'll work with various sensors including proximity and infrared sensors, explore multiple IoT platforms like Raspberry Pi and Arduino, and participate in practical demonstrations. The labs are designed to give you real-world experience with the hardware and software tools used in IoT development.

Q: How does this course specifically help startups?

The course is specifically tailored for startups, focusing on practical applications and opportunity identification. You'll learn to evaluate different IoT platforms for cost-effectiveness, understand security considerations crucial for commercial applications, analyze real-world case studies relevant to startup scenarios, and participate in brainstorming sessions designed to help you identify and realize IoT opportunities in your own startup venture.

Q: What AI and machine learning topics are covered in the course?

The course covers fundamental AI concepts including the difference between narrow and general intelligence, predictive versus prescriptive AI, and AI-IoT integration. You'll learn practical machine learning and deep learning applications such as image recognition, speech recognition, natural language processing (NLP), optimization techniques, prediction models, and pattern recognition - all within the context of IoT applications.

Q: Does this course provide certification upon completion?

No, this course does not offer formal certification. However, you will gain valuable practical knowledge and skills in AI and IoT integration that are directly applicable to startup environments, along with hands-on experience with industry-standard platforms and tools that will enhance your technical capabilities.

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 fusion of Artificial Intelligence and the Internet of Things to drive innovation in your startup. Engage with our dynamic course that offers hands-on experience with sensor technologies, platforms comparison like Raspberry Pi and ThingsBoard, security strategies for IoT solutions, and real-world case studies to inspire opportunity identification within this cutting-edge ecosystem.

Available in:
Malaysia

Face-to-Face Feb 11-12, 2026 9:00 AM - 5:00 PM Tarun Sukhani

Created: December 13th 2020, 5:51 PM MYT Last Modified: February 6th 2026, 6:01 AM MYT

updated

beginner

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

49 intakes

English

Technical: 25 pax

Target Audience

students

engineers

Methodologies

lecture

slides

labs

case studies

group discussion

Subsidies

What you'll learn

Identify key security considerations within IoT platforms to ensure robust solutions.
Understand the fundamentals of IoT and its applications in different domains.
Explore various hardware platforms used in IoT and compare their functionalities.
Comprehend the basics of Artificial Intelligence and its integration with IoT systems.
Acquire skills in machine learning techniques such as image recognition and speech processing.
Gain practical knowledge of sensors and actuators including demonstrations with IR sensors.
Analyze case studies on IoT implementations in home automation and logistics.
Learn about IoT architecture components, technology stacks, and communication protocols.

Why should you attend?

This course provides an immersive exploration into the interconnected realms of Artificial Intelligence (AI) and the Internet of Things (IoT), tailored for startups looking to harness these technologies. We begin with a foundational understanding of IoT, delving into its applications across various domains and providing a comprehensive explanation of what IoT entails. As we progress, participants will grasp the intricacies of IoT architecture, including its layers, technology stack, and communication protocols. The journey continues with an in-depth look at sensors, their types, and practical demonstrations using proximity and infrared sensors. Communication modules are dissected through hands-on examples with multiple IoT platforms like Raspberry Pi and Arduino while evaluating their use cases. The course then shifts focus to the AI landscape, contrasting narrow and general intelligence, predictive versus prescriptive AI, and integrating AI with IoT for enhanced capabilities. Machine learning and deep learning concepts are introduced with practical applications such as image recognition, speech recognition, natural language processing (NLP), optimization, prediction, and pattern recognition. Security design considerations are paramount; hence we explore how to secure IoT platforms against vulnerabilities. Lastly, we analyze real-world case studies in home automation, logistics, fleet management, smart metering solutions, culminating in a brainstorming session on identifying and realizing IoT opportunities for startups.

Course Syllabus

Day 1 - IoT Fundamentals and Architecture

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 - Sensors and Communication Platforms

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

Ratings and Reviews

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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

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Instructor

Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist

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.

123 Courses

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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

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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

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Instructor

Uzair Aslam Senior Data Scientist & ML Expert

Trainer Profile

TTT Certificate

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

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FAQ

Frequently Asked Questions About This Course

What will I learn in this AI and IoT for Startups course?

What are the prerequisites for this course?

How long is the course and what teaching methods are used?

Will I get hands-on experience with IoT hardware and platforms?

How does this course specifically help startups?

What AI and machine learning topics are covered in the course?

Does this course provide certification upon completion?

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

Identify key security considerations within IoT platforms to ensure robust solutions.
Understand the fundamentals of IoT and its applications in different domains.
Explore various hardware platforms used in IoT and compare their functionalities.
Comprehend the basics of Artificial Intelligence and its integration with IoT systems.
Acquire skills in machine learning techniques such as image recognition and speech processing.
Gain practical knowledge of sensors and actuators including demonstrations with IR sensors.
Analyze case studies on IoT implementations in home automation and logistics.
Learn about IoT architecture components, technology stacks, and communication protocols.

Course Syllabus

Day 1 - IoT Fundamentals and Architecture

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 - Sensors and Communication Platforms

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