PG Certificate in AI-Enabled IoT & Embedded Systems
- Certificate from an Institute of National Importance
- Industry-Standard Tools & Capstone Project
- Case Studies & Hardware Kit
- Low cost EMI available
Free Personalised Career Counseling
| Duration | Mode of Learning | Program Fees |
|---|---|---|
| 6 months | Online + Campus Immersion | 70,000 + GST (Excluding Kit & Application Fees ) |
Program Overview
The PG Certificate in AI Enabled IoT and Embedded Systems Program, offered by IIT Jammu through I3C–IIT Jammu, in collaboration with TeamLease EdTech, is a 6-month certificate program crafted for professionals and graduates aiming to build expertise in the converging domains of IoT, Embedded Systems, and Artificial Intelligence. Delivered through live online sessions with an optional on-campus immersion, the program blends strong academic foundations with hands-on, application-driven learning.
Learners develop in-depth capabilities across microcontrollers, IoT system design, communication protocols, and the deployment of machine learning models on edge devices, using industry-standard tools and platforms. The program prepares participants to design and implement intelligent, connected solutions for real-world applications such as smart infrastructure, industrial automation, healthcare wearables, and predictive maintenance.
Program Eligibility
Academic Qualification
Graduate degree in BE, B.Tech, BCA, MCA, B.Sc, or M.Sc in Science
Work Experience
Minimum 1 year of work experience in any field
Program Objectives
Build Strong Embedded Systems Foundations
Develop a solid understanding of embedded hardware, microcontrollers, RTOS, and C/C++ programming to design reliable, real-time systems for connected devices.
Design End-to-End IoT Architectures
Enable learners to architect complete IoT ecosystems spanning edge devices, gateways, and cloud platforms, with a strong focus on communication protocols, security, and scalability.
Integrate AI & ML into Connected Systems
Equip participants with the skills to apply machine learning techniques to IoT data and deploy AI models on edge devices for intelligent, data-driven system behavior.
Master Edge AI & TinyML Applications
Train learners to optimize and deploy AI models on resource-constrained devices using TinyML techniques for applications such as predictive maintenance, anomaly detection, and smart sensing.
Gain Hands-On Technical Proficiency
Provide practical exposure through hardware kits, industry-standard tools, and guided labs, enabling learners to prototype, test, and deploy AI-enabled IoT solutions.
Apply Learning through Real-World Projects
Encourage problem-solving through capstone projects that simulate real industry use cases in smart homes, healthcare wearables, agriculture, and industrial automation.
Prepare for Industry-Ready Roles
Position participants for advanced technical and solution-oriented roles in IoT, embedded systems, edge AI, and smart infrastructure by combining applied learning with industry-relevant tools and platforms.
Program Highlights
Prestigious PG Certificate
Earn a highly respected PG Certificate from IIT Jammu (through I3C–IIT Jammu) — an Institute of National Importance recognized for excellence in innovation and technology.
Advanced, Industry-Relevant Curriculum
Master IoT system design, embedded systems, AI & ML essentials, and edge AI deployment using real-world tools and platforms.
Hands-On Hardware Learning
Gain practical experience with the included hardware kit, enabling you to prototype, test, and deploy AI-enabled IoT solutions.
IIT Jammu Faculty & Industry Experts
Learn from distinguished IIT Jammu faculty with deep expertise in embedded systems, IoT, AI, and applied research.
Capstone Project
Work on real-world projects such as smart homes, AI health wearables, industrial IoT, or smart agriculture systems to demonstrate your practical skills.
Industry-Standard Tools
Become proficient in Arduino IDE, STM32Cube, PlatformIO, Node-RED, TensorFlow Lite, and cloud IoT platforms (Google, AWS, Azure).
Optional Campus Immersion
Participate in a 2-day on-campus session at IIT Jammu to experience labs, peer collaboration, and faculty interaction.
Career-Ready Skills
Develop the expertise and confidence to take on roles in IoT, embedded systems, edge AI, and smart device solutions.
Program Outcomes
Build End-to-End Connected Systems
Apply embedded systems, IoT architecture, and AI integration to create functioning smart devices and automated solutions.
Analyze and Process IoT Data
Collect, preprocess, and interpret data from sensors and devices to derive actionable insights for intelligent decision-making.
Develop Edge AI Solutions
Deploy machine learning models on resource-constrained devices, optimizing for efficiency, performance, and real-time responsiveness.
Solve Complex Real-World Problems
Design and implement solutions for practical challenges in healthcare, agriculture, industry, and smart environments.
Execute Capstone Projects with Impact
Demonstrate the ability to plan, prototype, and deliver fully functional AI-enabled IoT projects from concept to implementation.
Integrate Hardware and Software Effectively
Combine microcontrollers, communication protocols, and AI workflows to develop systems that operate seamlessly in real-world environments.
Adapt to Emerging Technologies
Apply knowledge of AI, IoT, and embedded systems to explore and implement innovative solutions in evolving technical landscapes.
WHO IS THIS PROGRAM FOR?
Pedagogy
The program follows a blended learning approach, combining multiple instructional methods to enhance learning outcomes:
Interactive Live Sessions
Engage with faculty and peers through discussions, Q&A, and case study analysis.
Self-Paced Learning
Access recorded lectures, readings, and practice exercises to reinforce key concepts.
Experiential Learning
Apply learning through projects, cases, and hands-on assignments across modules.
Collaborative Activities
Participate in group exercises, peer learning, and discussion forums to strengthen teamwork and practical understanding.
Campus Immersion Experience
Experience a 2-day on-campus immersion at IIT Jammu, designed to enhance practical understanding through focused academic sessions and peer interaction. This immersion complements the live online learning by offering an in-person academic environment and collaborative learning opportunities.
- Campus Immersion Fee: INR 5,000 for 3 nights.
- Participants who attend the immersion will receive a separate Certificate for Campus Immersion.
- Participants who do not attend the immersion will be awarded the PG Certificate upon successful completion of the program requirements.
What's Included
- Board & Stay - Accommodation during the 2-day campus immersion
- Food - Meals provided throughout the campus stay
- Academic Sessions - On-campus sessions conducted as part of the immersion
What's Not Included
- Travel to and from the IIT Jammu campus
- Any personal expenses during the stay
Program Module
- Microcontrollers vs Microprocessors
- ARM architecture (e.g., STM32, Arduino, ESP32)
- Real-time Operating Systems (RTOS)
- C/C++ for Embedded Development
- IoT Architecture (Edge, Gateway, Cloud)
- Communication Protocols: MQTT, HTTP, LoRa, Zigbee, BLE
- Sensors & Actuators
- Networking and Security in IoT
- Supervised, Unsupervised, and Reinforcement Learning
- ML model development using Python, scikit-learn, TensorFlow Lite
- Data collection and preprocessing for IoT
- Deploying ML on microcontrollers (TinyML)
- Model Optimization (Quantization, Pruning)
- Use cases: Predictive maintenance, anomaly detection, smart vision
- Arduino IDE, STM32Cube, PlatformIO
- Node-RED for rapid prototyping
- TensorFlow Lite for Microcontrollers
- Google Cloud IoT / AWS IoT / Azure IoT Hub
- Git, Docker (optional), Jupyter Notebook
- Smart Home Automation with Voice Recognition
- AI-enabled Health Monitoring Wearable
- Smart Agriculture System with Predictive Analysis
- Industrial IoT system with anomaly detection
Assessment & Evaluation
Learners will be assessed through a mix of quizzes, assignments, case studies, and final examinations. This multi-faceted approach ensures continuous engagement, practical understanding, and a comprehensive grasp of the concepts.
Tools You'll Master
| Tool to Be Used | Purpose | Rationale |
|---|---|---|
| Arduino IDE, STM32Cube, PlatformIO | Embedded Firmware Development | Widely used industry toolchains for microcontroller programming; enable low-level hardware control, peripheral configuration, and real-time embedded application development across Arduino and STM32 ecosystems |
| Node-RED | Rapid Prototyping & Workflow Orchestration | Low-code, flow-based development tool ideal for quickly building IoT pipelines, integrating sensors, APIs, and devices without heavy coding—accelerates proof-of-concept development |
| TensorFlow Lite for Microcontrollers | Edge AI & On-Device Inference | Optimized for deploying lightweight machine learning models on resource-constrained microcontrollers, enabling real-time inference without cloud dependency |
| Google Cloud IoT / AWS IoT / Azure IoT Hub | Cloud Connectivity & IoT Device Management | Provides exposure to leading IoT cloud platforms for secure device communication, data ingestion, monitoring, and scalability—focus on architecture and integration rather than deep cloud development |
| Git, Docker (Optional), Jupyter Notebook | Version Control, Environment Management & Experimentation | Git ensures collaborative development and code versioning; Docker introduces containerized workflows; Jupyter Notebook supports experimentation, documentation, and model evaluation in a reproducible manner |
Program Fees
| Application Fee | ₹ 2,000 + GST |
| Program Fee | ₹ 70,000 + GST |
| IOT Kit Fee | ₹ 12,000 + GST |
Total Fee: ₹ 84,000 + GST
(Low cost EMI available)
Program Coordinator
Program Certificate
Certificate of Completion
Certificate of Participation
Admission Process
STEP 1
Fill up an online application form, upload the required documents and submit application
STEP 2
Make the application payment
STEP 3
Shortlisting based on work, and education profile
STEP 4
The Final Enrolment Letter shall be issued by I3C–IIT Jammu upon receipt of the full program fee.
Frequently Asked Questions
What is the PG Certificate in AI-Enabled IoT & Embedded Systems by IIT Jammu?
The PG Certificate in AI-Enabled IoT & Embedded Systems is a 6-month executive education program conducted by IIT Jammu through live interactive online sessions, with an optional 2-day on-campus immersion. The program focuses on embedded systems, IoT architectures, and AI integration for building intelligent, connected systems.
Is this an embedded systems course suitable for working professionals?
Yes. This program is a comprehensive embedded systems course designed specifically for working professionals and graduates who want to build advanced capabilities in embedded systems, IoT, and AI through live online learning and practical application.
Is this an embedded system design course with practical exposure?
Yes. The program functions as an intensive embedded system design course, combining academic rigor with practical learning through hardware kits, assignments, projects, and a final capstone project focused on real-world applications.
Who should enroll in this IoT and embedded systems program?
This program is ideal for engineers, developers, IT professionals, entrepreneurs, and graduates seeking structured expertise in IoT and embedded systems with AI integration, whether for career growth or transition.
What career advantages does an IoT embedded systems certification offer?
Training in IoT embedded systems equips learners with future-ready skills applicable to roles in embedded systems engineering, IoT solution development, smart systems, and AI-enabled technology domains.
What makes this one of the best online courses for embedded systems?
Key differentiators include:
- Live sessions led by IIT Jammu faculty
- Hardware-based practical learning
- Capstone project and real-world use cases
- Certification from a premier technical institution
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