World of Artificial Intelligence
The “World of Artificial Intelligence” course invites you to delve into the fascinating realm where cutting-edge technology converges with the boundless possibilities of artificial intelligence. This comprehensive journey combines theory and hands-on experience to provide you with a deep understanding of AI, machine learning, and the Internet of Things (IoT). Through the integration of a versatile kit and the powerful Python programming language, you’ll embark on a transformative exploration of robotics and automation.

LEARNING OBJECTIVE
- Define the key components of kit its integration with Python programming language.
- Identify various sensors, motors, and controllers used in the kit and their functionalities.
- Describe the concept of Artificial Intelligence (AI) and Internet of Things (IoT) and their applications in robotics and automation.
- Explain the role of Python programming in controlling kit and implementing AI and machine learning algorithms.
- Understand the working of the autonomous programmable CPU in making robots autonomous.
- Comprehension:
- Summarize the connectivity between kit and Android devices, and its role in enhancing robotics applications.
- Explain the process of coding through Arduino devices and its impact on kit functionality.
- Interpret the principles of Face ID locks and self-driving cars and how they are implemented using kit.
- Describe the basics of machine learning algorithms and their implementation through ENTRY’s Scratch and Python programming.
- Utilize sensors, motors, and controllers to manipulate robot movement in various projects.
- Develop and implement Face ID locks using Kit’s AI capabilities.
- Create self-driving car simulations and AI players in different scenarios using Python programming.
- Integrate and program sensors to enable autonomous behavior in kit.
- Analyze the effectiveness of hardware integration with Android units in kit projects.
- Evaluate the impact of Python programming on the versatility and complexity of applications.
- Compare and contrast different AI and machine learning algorithms implemented through Scratch and Python in the projects.
- Synthesis:
- Integrate multiple hardware components to design innovative robotics projects.
- Combine Python programming and kit’s AI capabilities to create advanced applications like AI players.
- Design new robotics applications leveraging the connectivity and functionality of kit and Android devices.
- Assess the performance and functionality of Face ID locks and self-driving cars developed using kit.
- Critique the implementation of machine learning algorithms in kit projects and propose improvements.
- Evaluate the overall learning and skill development achieved through the course.
SESSION PLANNING
Session-wise Activities
- Day 1: Orientation
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Day 2: Learn the Distance sensor and Buzzer
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Day 3: Learn the LED Block
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Day 4: Learn the Sound sensor
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Day 5: Learn the Light sensor
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Day 6: Learn the Infrared senso
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Day 7: Application for the Light sensor
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Day 8: Application for Infrared sensor
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Project – Self- driving
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Day 10: Project – Biometrics
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Day 11: Innovation –day
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Day 12: Exploring Entry
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Day 13: Sampling of Dataset
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Day 14: Problem Identification
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Day 15: Project – Integrated project
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Day16: Final Project Presentation
Material Required
- Robotmea RCAI Kit
- Student Manual
- Hands-out (if required)
- Audio-Visual Aid
- Tables
- Chairs
- Presentation/PPT
Material Required:
Empowering Minds in the Digital Era
Address
Office 339, Office Tower, Al Ghurair Center, Deira Dubai
Contact Number
04-339-3803
info@metaverseage.ae