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Course overview

Robotics Foundation

4.9· trusted by learners

Learn how robots sense, think and move — electronics, microcontrollers, sensors and motors — and build a working robot in this beginner-friendly course.

  • Hands-on, project-based curriculum
  • Live doubt-clearing sessions
  • Industry-recognised certification
  • Dedicated placement assistance
3 Months (12 Weeks) Beginner friendly
Key highlights
  • 13 modules · 64 lessons
  • 3 Months (12 Weeks) — live cohort
  • Weekly doubt-clearing
  • Mentor-reviewed projects
  • Placement assistance
About this course

Make something move. If you have ever wanted to bridge the gap between pure software and the physical world, the Robotics Foundation course gives you the exact toolkit to get started. You will learn how robots sense their environment, process inputs on microcontrollers, and actuate physical movement through motors. By the end of this journey, you will have built a fully functional, programmable mobile robot from scratch on your workbench.

Building real physical systems

Engineering hardware is different from writing web apps; when your code has a bug, a wire smokes or a motor spins backward unexpectedly. You will build resilience and practical debugging skills across twelve intensive weeks. You will move from simple Ohm's law calculations on breadboards to flashing C++ code onto microcontrollers and processing video feeds with Python.

What you'll actually work on

  • Breadboard Prototypes: Wire up LEDs, push buttons, and resistors while learning to read schematic diagrams and verify voltages with a digital multimeter.
  • Arduino Sketches: Write and upload C/C++ code to handle digital and analog input-output pins, controlling timing and serial communication for hardware debugging.
  • Sensor Integration Networks: Interface ultrasonic distance sensors and infrared line-following modules, writing custom filtering logic to smooth noisy raw data readings.
  • Motor Control Subsystems: Drive DC motors and servo actuators using an L298N motor driver module, regulating speed and direction with Pulse Width Modulation.
  • Wireless Remote Control: Implement Bluetooth serial modules to command your robot wirelessly from a smartphone app over a custom control interface.
  • Raspberry Pi Computer Vision Setup: Configure a single-board Linux computer running Python to capture image frames from a camera module for basic automation tasks.
  • Autonomous Mobile Capstone: Design, assemble, and tune an obstacle-avoiding chassis that combines all sensors, power management, and firmware logic into a unified autonomous machine.

Each deliverable mirrors the iterative prototyping process used by hardware engineers. You will test edge cases like low battery voltage brownouts, sensor interference under harsh lighting, and motor stall currents that reset your microcontroller.

Who this course is for

This program is built for complete beginners, hobbyists, students, and software developers looking to expand into embedded systems. You do not need prior electronics knowledge or advanced math to enroll. If you enjoy taking things apart to see how they work and want a structured path to build them back better, you will thrive here. It is equally suited for high school and university students preparing for engineering majors or robotics competitions. For professionals looking at industrial automation, pairing this with RPA & Intelligent Automation provides an excellent bridge into enterprise software workflows.

How our live online sessions run

You will learn through live instructor-led cohorts delivered remotely in your timezone, ensuring you can interact directly with working engineers. Sessions combine live coding demonstrations, circuit simulations in Tinkercad, and real-time hardware troubleshooting over video. If a component fails or your code fails to compile, your mentor will look at your setup and help you trace the fault. Every session is recorded so you can review complex wiring steps or firmware logic whenever needed.

The robotics and embedded systems job market

Embedded systems, IoT, and robotics roles require a unique blend of hardware literacy and low-level programming. Companies hiring for these positions look for engineers who can write clean C/C++ firmware, read data sheets, and troubleshoot peripheral communication protocols like I2C, SPI, and UART. When you eventually containerize backend services that ingest sensor streams, reviewing a Docker tutorial helps bridge local code and cloud infrastructure. While this foundation course sets your hardware baseline, professionals aiming for advanced autonomous systems often advance directly into the Applied Robotics and AI curriculum. Interview loops for junior robotics roles test your understanding of hardware interrupts, finite state machines, sensor calibration, and basic control loops.

Ready to build hardware that interacts with the real world? Enroll today and take your first step into Robotics engineering.

Course details

Everything you'll learn & master

A structured curriculum with real tools and outcomes built for the workplace.

13 modules
64 lessons
15 tools
Certificate
Live course Self-paced Industry expert Academic faculty
Module 1

You can explain the core mechanical, electrical, and computational components that form every modern robot.

  1. What robots are and how they work90 min
    • Robot anatomy
    • Degrees of freedom
    • Kinematic chains
    • Industrial vs mobile systems
  2. The sense–think–act loop90 min
    • Sensor telemetry
    • Microcontroller logic
    • Actuator response
    • Real-time feedback cycles
  3. Types of robots and their applications90 min
    • AGVs and AMRs
    • Articulated arms
    • Drones and UAVs
    • Service robotics
  4. Safety and workbench tools90 min
    • ESD precautions
    • Soldering safety
    • Bench power supplies
    • Multimeter handling
  5. Your robotics kit and setup2 hrs
    • Component inventory check
    • IDE installation
    • USB drivers
    • First serial connection

Hands-on project: Map out the hardware components and block diagram for a custom mobile robot, specifying sensor inputs and actuator outputs for review.

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Module 12

Module 13

Who teaches you

Our instructors

Every instructor here ships production code for a living and teaches the same week they deploy.

  • Ravi Tyagi — Lead AI Engineer & Generative AI Systems Engineer, Squarebrackets trainer

    Ravi Tyagi

    Lead AI Engineer & Generative AI Systems Engineer

  • Vaishali Tyagi

    Co-Founder and Soft Skills Mentor

  • Swati Tyagi — Senior Full Stack and Mobile App Developer, Squarebrackets trainer

    Swati Tyagi

    Senior Full Stack and Mobile App Developer

  • Himanshu Mudgal — Lead DevOps Engineer, Squarebrackets trainer

    Himanshu Mudgal

    Lead DevOps Engineer

Real stories

Where our learners landed.

5 learners sharing their experience

1 / 5
“

The Full-Stack Java developer program at Squarebrackets completely transformed my career. Learning Spring Boot and microservices architecture alongside React and Next.js gave me the exact modern stack companies are looking for. Building real-time projects using Apache Kafka and RabbitMQ for message queuing gave me the practical confidence I needed to ace my system design rounds.

Ankit transitioned from a legacy support engineer to a high-paying product development role after completing his 6-month intensive Java and JavaScript full-stack training at our Noida campus.

Ankit Srivastava profile
Ankit Srivastava
Software Engineer · Student
Aug 2026
“

Squarebrackets took me from not knowing what a gradient was to building and deploying CNNs and Transformers. The maths-first approach made everything click, and the mentors pushed me through every hard concept.

Completed the Deep Learning Course at Squarebrackets and landed a deep learning role within two months.

Pradeep Sharma profile
Pradeep Sharma
Student
Jun 2026
“

Squarebrackets gave me the complete AI picture — from search algorithms and Bayesian reasoning to building LLM agents. The maths-first approach meant nothing was a black box, and the mentors pushed me through every project.

Completed the Artificial Intelligence Course at Squarebrackets and moved into an AI engineering role within two months.

Arjun Saini profile
Arjun Saini
Student
Jun 2026
“

The Java Full-Stack and DSA course at Squarebrackets completely changed my career trajectory. The focus on raw problem-solving with DSA alongside hands-on Spring Boot and React projects gave me the practical skills I needed. I went from struggling with basic coding rounds to cracking my technical interview with absolute confidence.

Aniket joined Squarebrackets as a college senior looking to transition from theoretical academic projects to production-ready software development. After completing our rigorous training program, he secured a placement as an Associate Software Engineer.

AS
Aniket Sharma
Associate Software Engineer · Capgemini
Aug 2026
“

The live cohort broke down complex concepts like Spring Boot transaction management and React state handling in a way that made immediate sense for production work. Having worked through real backend architectures during class, my daily code reviews at work became much smoother.

Completed the Java Full Stack live training while balancing a full-time role, upgrading engineering skills through rigorous hands-on sessions.

Harshmeet profile
Harshmeet
Student
Oct 2026
Success Stories

What our learners say

Written testimonials

Verified

“The Full-Stack Java developer program at Squarebrackets completely transformed my career. Learning Spring Boot and microservices architecture alongside React and Next.js gave me the exact modern stack companies are looking for. Building real-time projects using Apache Kafka and RabbitMQ for message queuing gave me the practical confidence I needed to ace my system design rounds.”

Ankit Srivastava

Ankit Srivastava

Software Engineer, Student

Verified

“Squarebrackets took me from not knowing what a gradient was to building and deploying CNNs and Transformers. The maths-first approach made everything click, and the mentors pushed me through every hard concept.”

Pradeep Sharma

Pradeep Sharma

Student

Verified

“Squarebrackets gave me the complete AI picture — from search algorithms and Bayesian reasoning to building LLM agents. The maths-first approach meant nothing was a black box, and the mentors pushed me through every project.”

Arjun Saini

Arjun Saini

Student

Verified

“The Java Full-Stack and DSA course at Squarebrackets completely changed my career trajectory. The focus on raw problem-solving with DSA alongside hands-on Spring Boot and React projects gave me the practical skills I needed. I went from struggling with basic coding rounds to cracking my technical interview with absolute confidence.”

Aniket Sharma

Associate Software Engineer, Capgemini

Verified

“The live cohort broke down complex concepts like Spring Boot transaction management and React state handling in a way that made immediate sense for production work. Having worked through real backend architectures during class, my daily code reviews at work became much smoother.”

Harshmeet

Harshmeet

Student

Trusted by teams

Companies our learners work at

Xebia
Tata Consultancy Services (TCS)
HCL Tech
Redbus Industrial Training
Genspark
L'Oréal
Microtek Learning
UST Global
Muoro
Frequently asked

Got questions?
We've got answers.

Browse the common questions, or reach out and our team will help you directly.

No prior experience is required for this course. We start from absolute zero, walking you through basic electrical theory, breadboard wiring, and beginner programming concepts before moving on to complex microcontroller projects.

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