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RoboSupreme [Level - Master]
Learn how to build robots that can navigate and move on their own using SLAM, path planning, and advanced mapping techniques.
4.5/5
1000+
Students
Advanced
18 Classes
(6 Weeks)
Available Coaching Centers:
No coaching centers found in this location. Please try another area.
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Advanced
Course Description
Want to create robots that can move without human control? This course dives into autonomous robotics, where you’ll learn how robots perceive their surroundings and make navigation decisions independently. You’ll work with SLAM (Simultaneous Localization and Mapping), path planning, and LIDAR-based mapping to create self-driving robots. Using ROS and Gazebo simulations, you’ll build real-world projects that demonstrate how robots navigate complex environments. By the end of this course, you’ll have the skills to develop intelligent, autonomous robotic systems.
✅ What Will You Learn?
1. Perception and Environment Understanding
How Robots Perceive the World: Robots rely on sensors like LIDAR, cameras, and ultrasonic sensors to collect information about their surroundings. You’ll learn how to interpret this sensor data.
2. Navigation and Movement
Path Planning: Robots need to figure out how to move from one place to another while avoiding obstacles. You’ll learn about algorithms that help robots find the best path.
3. Real-World Applications
By the end of the course, you’ll understand how autonomous systems are used in industries like:
- Transportation: Self-driving cars and drones
- Warehousing and Logistics: Autonomous forklifts and delivery robots
- Healthcare: Service robots in hospitals
- Agriculture: Autonomous tractors and monitoring drones
What is Artificial Intelligence? How AI is Used in Robotics Overview of Machine Learning and Deep Learning Introduction to AI Tools: TensorFlow, OpenCV, and ROS
Understanding Machine Learning Algorithms Supervised vs. Unsupervised Learning Building and Training Your First Machine Learning Model Evaluating Model Performance
How Robots “See” the World Using Cameras and Sensors Image Processing with OpenCV Object Detection and Recognition Face Detection and Tracking
Introduction to Neural Networks and Deep Learning Building Convolutional Neural Networks (CNNs) Using Pre-trained AI Models for Faster Results Real-Time Object Detection with AI
Understanding Reinforcement Learning (RL) Concepts How Robots Learn by Trial and Error Training AI Agents in Simulations Implementing RL for Autonomous Decision-Making
How Robots Navigate Using AI Path Planning and Obstacle Avoidance Using AI for Simultaneous Localization and Mapping (SLAM) Implementing Autonomous Navigation with ROS
Build an Object Detection Robot with TensorFlow and OpenCV Create an Autonomous Path-Following Robot Using AI Develop a Smart Surveillance System with AI Monitoring Build a Reinforcement Learning Robot in a Virtual Environment
Choose a Project of Your Interest Receive Mentoring and Guidance Showcase Your AI-powered Robot Get Certified and Boost Your AI Robotics Portfolio
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Course Includes
Lectures
18 Classes
Duration
6 Weeks
Level
Advanced
Language
English
Certificate
Yes
Available Coaching Centers:
No coaching centers found in this location. Please try another area.
Course Includes
Lectures
10 Classes
Duration
N/A Hours
Level
Beginner
Language
English
Certificate
Yes
Learning Path
Beginner
Intermediate
Advanced
Master
CERTIFICATION
Earn Valuable Credentials
and Lead with a Competitive Edge.
🛡️
Certificate and Recognition That Validates Your Skills
Our curriculum is meticulously designed in collaboration with industry leaders to ensure every skill you acquire is not just current, but in high demand.
🔗
Get Mentorship From Top 1 % Industry Experts
Our mentors are seasoned professionals and thought leaders who provide unparalleled guidance and personalized feedback.
🧑🎓
Network For Lifelong Success
Our vibrant community of professionals offers continuous support, mentorship, and a platform for lifelong career acceleration.
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Capstone Executive Diploma in ML & AI
1
Bring Your Employer's Business Problem
Go back and impress your boss and colleagues with the ML &
AI solutions you come up with.
2
Bring a Future Employer's Business Problem
Pick a real-world challenge from a company you want to work
for and solve it with AI.
3
Choose a Problem From Your Domain
Select a challenge from your industry or area of expertise
and apply ML & AI techniques.
We will be there right through your learning journey
Learning Experience
Support & Assistance
Career Support
Networking & Peer Learning
Hands-on learning
- Videos from top faculty and world-class industry experts
- Built-in practice and coding console
- Industry-oriented projects for real DS & ML exposure
- Live interventions from faculty and industry experts
- Real time doubt clearing sessions
Go from AI novice to ML pro in 6 steps
01
2 Weeks of Fundamentals Training
Learn the fundamentals of Data Science, AI, and
Machine Learning.
★
●
02
Skill Test: Math, Python, SQL
Score 60% and skip to Step 4: the 12-month Executive
Diploma. Else move to Step 3.
03
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Get started in the basics of math and programming
needed in Data, AI, and ML.
●
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Key Features: Executive Diploma in Machine Learning & AI
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30+ projects across domains
Capstone Project of your choice
A standout ML Engineer's portfolio
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