AI and IoT for Startups
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

Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
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
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Minimum Qualification
Target Audience
Methodologies
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.
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
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies

Minimum Qualification
Target Audience
Methodologies
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