What You'll Learn
Six core competency areas — from robotics hardware fundamentals to AI-driven autonomous systems
Robotics Fundamentals & Arduino
Core robotics concepts, the shift from M2M to IoT, Arduino Uno R3 basics, and switch/sensor interfacing with real hardware.
FoundationIoT & Wireless Communication
Wi-Fi, Bluetooth, LoRaWAN & NFC communication, MQTT protocol, node-to-node messaging, and wireless sensor networks with NodeMCU.
Core SkillIndustrial Automation & IIoT
Industrial Internet of Things, smart factory concepts, and the real-world transition from automation to full digitalization.
In-DemandAI-Based Predictive Maintenance
Sensor data collection via ESP8266/NodeMCU, cloud data transmission, regression & time-series models, and ML-based failure prediction.
Cutting EdgeComputer Vision & Autonomous Navigation
OpenCV basics, YOLO-based object detection, AI-driven obstacle avoidance, path planning, and camera integration via Raspberry Pi / ESP32-CAM.
Applied AISmart Safety, Transportation & EV Systems
Gas leak & helmet detection, smart traffic signal automation, EV charging station monitoring, and AI-based load/traffic prediction.
Production ReadyBuilt to Get You Hired in Robotics
A program that combines hardware, IoT, and AI — so you graduate with both a working portfolio of robots and a certificate.
Unlock the world of robotics with our industry-designed program, built for beginners aiming to become practising robotics & automation engineers. You'll start with Arduino, sensors, and wireless communication, then progressively build toward industrial IoT, AI-based predictive maintenance, computer vision, and smart transportation & energy systems.
Every module is taught by mentors who've built robotics and automation systems at scale in the industry. You'll work on live, mentor-reviewed hardware and software projects that go directly into your portfolio — proving your skills to every employer you meet. The course ends with a performance-based LOR, dual certification, and direct placement referrals.
Course Benefits
Course Curriculum
Four stages, nine modules, one pipeline to becoming a robotics engineer — click any module to expand
- Introduction to Robotics
- M2M towards IoT & Robotics
- Global context of robotics
- Robotics products by Indian companies
- Arduino Uno R3 basics
- Switch interfacing with Arduino
- IR proximity & DHT11 sensor interfacing
- NodeMCU basics & ESP8266 platform
- Wireless comms: Wi-Fi, Bluetooth, LoRaWAN, NFC
- MQTT communication protocol
- Node-to-node communication
- Wireless sensor networks using multiple NodeMCUs
- Industrial Internet of Things (IIoT)
- Smart factory concept
- Automation to digitalization
- Sensor data collection using ESP8266/NodeMCU
- Cloud data transmission
- AI models: regression & time series
- Failure prediction using machine learning
- OpenCV basics
- Object detection (YOLO introduction)
- AI-based obstacle avoidance & path planning
- Camera integration: Raspberry Pi / ESP32-CAM
- Gas leak detection
- Helmet detection using computer vision
- Temperature anomaly detection
- Vehicle density detection
- Smart traffic signal automation
- EV charging station monitoring
- AI-based traffic load prediction
- IoT-based power monitoring
- Cloud dashboard integration
- AI-based load prediction
- Smart energy distribution
Capstone Project · Dual Certification · Placement Ready
Every stage feeds into a portfolio-ready robotics engineer — backed by live hardware & AI projects and a performance-based LOR.
Your Dual Certificates
Two industry-recognized credentials awarded on successful completion
What Makes This Course Special
Everything you need to go from curious learner to confident robotics engineer
Industry Expert Trainers
Learn from MNC-certified professionals who've built real robotics & automation systems — not just academics.
Hands-On Projects
Build real hardware and AI-powered robotics applications that go straight into your portfolio and impress every employer.
Dual Certification
Course Completion + Internship Certificate — two industry-recognized credentials in one program.
Performance-Based LOR
A star-rated, personalized Letter of Recommendation based on what you actually built and achieved.
1:1 Mentor Support
Direct access to mentors for doubt clearing, code & circuit reviews, and career guidance whenever you need it.
Placement Referrals
Direct referrals to our hiring partner network — Amazon, Google, Infosys, TCS, and 50+ more.
Requirements
- Basic programming knowledge — C/Python preferred but not mandatory
- Curiosity about electronics and hardware (we'll fill the gaps)
- A computer with internet connection
- Curiosity, commitment, and hunger to build with robotics & AI
Material Includes
- 35+ hours of recorded video lectures
- Lifetime LMS access — revisit anytime
- Section quizzes, assessments & assignments
- Hands-on hardware, IoT & AI robotics projects
- Course Completion Certificate
- Internship Experience Certificate
Simple, Transparent Pricing
Pick the learning style that suits you best — both include dual certification and placement support