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Advanced
Class 10 - Robotics and Artificial Intelligence
Advance your robotics and AI skills with the ICSE Class 10 Robotics and AI course. Learn Cobots, advanced Python, machine learning projects, and create integrated robotics systems for real-world applications.
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Course Description
Take your knowledge to the next level with the ICSE Class 10 Robotics and Artificial Intelligence course. This comprehensive program dives deep into New Age Robotic Systems (NARS), collaborative robots (Cobots), and advanced topics in machine intelligence, cybersecurity, and robotics integration. Students enhance coding expertise through advanced Python programming and gain hands-on experience with libraries like NumPy, Pandas, and Matplotlib, essential for data analysis and AI projects. Ideal for those preparing for the ICSE robotics and AI syllabus, this course offers practical lab work, PictoBlox machine learning projects, and complete robotics system development with Quarky kits.
What you will learn:
- Master advanced robotics topics including Cobots and smart robotics systems
- Build complete robotics assemblies and learn robotics integration
- Gain skills in advanced Python programming and data analysis tools
- Explore machine learning applications and real-world AI projects
- Understand cybersecurity, ethics, and responsible AI deployment
- Work on complex robotics and AI projects using Quarky and PictoBlox
Skills You’ll Gain:
- Python Programming
- Artificial Intelligence Concepts
- Machine Learning
- Deep Learning Basics
- Computer Vision
- Object Detection using OpenCV & Python
- Python Libraries: NumPy, Pandas, Matplotlib, Scikit-learn
- Data Analysis & Visualization
- Sensors (IR, Ultrasonic, PIR, etc.)
- Arduino Programming
- Hands-on with AI Tools
- Logic Building & Debugging Skills
Learning Path
9 Modules • Click a step to explore
0%
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 8
Module 9
1
Module 1: New Age Robotic Systems (NARS)
1.1
1. NARS Foundation
1.2
2. Industrial NARS
1.3
3. Service & Smart Systems
1.4
4. Specialized Applications
2
Module 2: From Robots to Cobots
2.1
1. Machine vs Robot
2.2
2. Robot Characteristics
2.3
3 Cobot Introduction
2.4
4. Cobot Integration
3
Module 3: Components of Robots as a System
3.1
1. Gear Systems
3.2
2. Sensor Technology
3.3
3. Actuator Systems
3.4
4. Control Integration
4
Module 4: Visualization, Design and Creation of Components
4.1
1. Quarky Kit Introduction
4.2
2. Programming Setup
4.3
3. Component Identification
4.4
4. Design Tools
5
Module 5: Integrating Robots as a System
5.1
1. Basic Robot Assembly
5.2
2. Navigation Robots
5.3
3. Safety & Detection
5.4
4. Advanced Manipulation
6
Module 6: Decision Making in Machines/Computers
6.1
1. System Types
6.2
2. Decision Comparison
6.3
3. ML Fundamentals
6.4
4. ML Applications
7
Module 7: Machine Intelligence and Cybersecurity
7.1
1. Intelligence Comparison
7.2
2. AI Benchmarks
7.3
3. Human-Machine Collaboration
7.4
4. Security & Ethics
8
Module 8: Components of AI Project Framework
8.1
1. Project Methodology
8.2
2. Problem Definition
8.3
3. Data Management
8.4
4. Modeling & Evaluation
9
Module 9: Introduction to Data and Programming with Python
9.1
Advanced Python Setup
9.2
2. Python Libraries
9.3
3. Data Structures
9.4
4. String Processing
Instructor
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An educator from the Department of Information Technology (IT) plays a crucial role in shaping the next generation of professionals in a rapidly evolving and dynamic field. These educators are responsible for not just imparting knowledge but also inspiring students to think critically, innovate, and apply their skills in real-world scenarios. Below is a general overview of the role and responsibilities of an IT educator:
Instructor
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Anushri Mishra
Edtech Mentor and AI Expert !
100+
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Biography
“
I am an educator with 3 year of experience teaching Artificial Intelligence, Coding and Robotics. I specialise in simplifying complex technical concepts, making them engaging and accessible for learners of all backgrounds. My classes blend theory with hands-on projects, helping students understand how AI and robotics shape the world around us.
Passionate about fostering curiosity and innovation, I am committed to inspiring the next generation of creators and problem-solvers through practical learning and interactive teaching methods.
Educational Qualification - B.Tech - Computer Science Engineering (CSE)
Experience - 3+ Year in Education-Technology Sector.
Instructor
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Nitil Singh
Edtech Mentor and Web Developer !
900+
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1000+
Students
20+
Courses
Biography
“
I am an enthusiastic educator with 3+ year of experience teaching Robotics, STEM and Automation. I specialize in simplifying complex technical concepts, making them engaging and accessible for learners of all backgrounds. My classes blend theory with hands-on projects, helping students understand how robotics shape the world around us.
Passionate about fostering curiosity and innovation, I am committed to inspiring the next generation of creators and problem-solvers through practical learning and interactive teaching methods.
Educational Qualification - B.Tech - Computer Science Engineering (CSE)
Experience - 3+ Year in Education-Technology (EdTech) and Web Development.
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Naivotech Educator Super Admin
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What’s Included
Everything you need to know about this course
Lectures
36 ClassesDuration
12 - 14 WeeksLevel
BeginnerLanguage
English / HindiWhat you need / Requirement
Laptop/PC
A personal computer is essential for hands-on practice and project work.
Learning Path
Your Journey. Your Growth.
A structured path designed to take you from basics to mastery with clarity, confidence, and real-world impact.
01
Beginner
Start with fundamental concepts and build a strong foundation.
02
Intermediate
Expand your knowledge and start building practical projects.
03
Advanced
Dive deeper into specialized areas and master complex techniques.
04
Master
Achieve expert-level proficiency and innovate with your skills.
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