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DSTC-00741 Online (e-LMS) Foundation

Robotics Fundamentals with AI Course – 4 Weeks

by - DSTC

Master Robotics Fundamentals with AI Course - 4 Weeks in 4 weeks through hands-on, project-based online training with DSTC.

★★★★★ Be the first to review • 4 Weeks · 40 hrs • e-Certificate Included
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From ₹5,500 + GST

Programme Parameters

Educational Level:
Foundation
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• No prior experience required — basic computer literacy is sufficient.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

The Robotics Fundamentals with AI course is a beginner-level program designed to introduce learners to the essential concepts of robotics, intelligent machines, automation, and artificial intelligence-based robotic systems. The course explains how robots sense their surroundings, process information, make decisions, and perform physical actions using integrated hardware and software systems. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

The Robotics Fundamentals with AI course is a beginner-level program designed to introduce learners to the essential concepts of robotics, intelligent machines, automation, and artificial intelligence-based robotic systems. The course explains how robots sense their surroundings, process information, make decisions, and perform physical actions using integrated hardware and software systems.

📋 Course Objectives

1. Apply AI Enablement methods to authentic research and industry problems.
2. Assemble a documented case study that evidences your applied capability.

👥 Who Should Enroll?

• Master's and senior undergraduate students specializing in AI Enablement
• R&D engineers and working professionals applying AI Enablement in industry
• Academics and educators building research or teaching capacity in AI Enablement

🚀 Key Learning Outcomes

• Tangible, reproducible AI Enablement work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Introduction to Robotics and AI

Overview of Robotics and Its Importance in Modern Technology • Basic Components of Robotic Systems • Role of Artificial Intelligence in Robotics • Applications of Robotics Across Industries and Daily Life

Module 2 Outline

Fundamentals of Robotic Systems

Understanding Robot Structure and Function • Mechanical Movement, Control Units, and Task Execution • Types of Robots and Their Use Cases • Difference Between Manual, Automated, and Intelligent Robotic Systems

Module 3 Outline

Actuators and Sensors

Introduction to Actuators and Sensors • Role of Sensors in Detecting Environment, Motion, Distance, Light, and Touch • Role of Actuators in Movement, Rotation, Gripping, and Physical Action • How Actuators and Sensors Work Together in Robotic Systems

Module 4 Outline

AI Algorithms for Robotics

Introduction to AI Algorithms • How Robots Use AI Algorithms for Decision-Making • Pattern Recognition, Object Detection, Navigation, and Task Planning Concepts • Importance of Data, Feedback, and Learning in Robotic Intelligence

Module 5 Outline

AI in Robotics

Role of AI in Robotics • AI-Based Perception, Control, and Automation • Using AI to Improve Robot Accuracy, Adaptability, and Efficiency • Examples of AI in Robotics for Smart Machines and Automated Workflows

Module 6 Outline

AI-Powered Robotics

Introduction to AI-Powered Robotics • Designing Robots That Can Sense, Decide, and Act • AI-Powered Robotics for Industrial, Healthcare, Service, and Educational Applications • Benefits and Limitations of AI-Powered Robotic Systems

Module 7 Outline

Autonomous Robots

Understanding Autonomous Robots • Navigation, Obstacle Avoidance, Path Planning, and Environmental Awareness • Autonomous Robots in Warehouses, Agriculture, Transportation, and Smart Facilities • Safety, Reliability, and Human-Robot Interaction Considerations

Module 8 Outline

Case Studies and Future Opportunities

Case Studies in AI-Powered Robotics and Autonomous Robots • Challenges in Robotics Development, Cost, Safety, and Deployment • Ethical Considerations in Intelligent Robotic Systems • Future Opportunities in Robotics, Automation, and AI-Driven Innovation

Technical Specifications

ParameterRequirement
Covered Tool / PlatformActuators and Sensors
Covered Tool / PlatformAI Algorithms
Covered Tool / PlatformAI in Robotics
Covered Tool / PlatformAI-Powered Robotics
Covered Tool / PlatformAutonomous Robots
Covered Tool / PlatformRobotic Systems
Covered Tool / PlatformRobot Control
Covered Tool / PlatformAutomation
Covered Tool / PlatformNavigation
Covered Tool / PlatformPath Planning

Frequently Asked Questions

The Robotics Fundamentals with AI course DSTC (DSTC) introduces learners to the core concepts of robotics, automation, and artificial intelligence-based robotic systems. It covers robotic components, actuators and sensors, robot control, AI algorithms, AI in robotics, AI-powered robotics, autonomous robots, navigation, task planning, and real-world robotics applications.

Yes. This course is specifically designed for beginners. It starts with basic robotics concepts and gradually introduces AI applications in robotic systems. No advanced technical background is required, although basic knowledge of science, computers, or electronics can be helpful for faster understanding.

Robotics and AI are transforming manufacturing, healthcare, logistics, agriculture, education, home automation, smart industries, and autonomous systems. Learning Robotics Fundamentals with AI helps learners understand how robots sense, decide, and act, giving them a strong foundation for future study or careers in robotics, automation, and intelligent machine systems.

This course can support future learning and career pathways in robotics, automation, AI-powered systems, industrial technology, autonomous machines, smart devices, and robotics research. Learners can build a foundation for roles such as robotics trainee, automation learner, AI robotics enthusiast, embedded systems beginner, robotics project assistant, or future robotics engineer with further specialization.

The course covers Actuators and Sensors, AI Algorithms, AI in Robotics, AI-Powered Robotics, and Autonomous Robots. Learners also explore robot structure, movement systems, control units, environmental sensing, pattern recognition, object detection, navigation, obstacle avoidance, path planning, human-robot interaction, and intelligent automation concepts.

DSTC’s Robotics Fundamentals with AI course stands out because it combines beginner-friendly robotics foundations with practical AI concepts. Many programs focus only on basic robotics or only on artificial intelligence, while this course connects actuators, sensors, robot control, AI algorithms, autonomous robots, and real-world automation examples in one structured learning pathway.

The Robotics Fundamentals with AI course is structured as a 3-week online, instructor-led program. With consistent study and participation, learners can complete the modules, case studies, and applied learning activities within the program timeline.

Robotics Fundamentals with AI is designed to be beginner-friendly. The course explains concepts such as sensors, actuators, robotic movement, AI decision-making, navigation, and autonomous systems through clear examples and step-by-step learning. Learners who are new to robotics can gradually build confidence with consistent effort.

Yes. Upon successful completion, learners receive an official DSTC e-Certification + e-Marksheet. This credential validates learning in robotics fundamentals, AI algorithms, actuators and sensors, AI-powered robotics, automation concepts, and autonomous robotic systems.

Yes. The course helps learners build practical project understanding by explaining how robots sense their environment, process information, make decisions, and perform actions. Learners gain conceptual exposure to robotic control, AI-powered decision-making, autonomous navigation, and real-world robotics applications that can support future projects and advanced robotics learning.

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